Low earth orbit satellite mobile communication ground experiment method and system

Abstract

The invention provides a low earth orbit satellite mobile communication ground experiment method and system. According to the influence of different orbit heights and solar activity periods, a diversified orbit parameter set is planned, and a virtual satellite network model is generated; based on the virtual satellite network model, calculating an optimal transmission path by using a path prediction algorithm, adjusting the characteristics of a transmitted signal through a real-time channel simulation technology, and generating a low-orbit satellite communication environment test scene; based on the low-orbit satellite communication environment test scene, evaluating communication performance data by using an adaptive performance evaluation algorithm, determining a power consumption mode by combining an energy efficiency optimization method, analyzing a relationship between battery consumption and communication quality, and generating a performance evaluation report; and integrating the power consumption data and the communication quality data, converting the integrated data into a practical solution, and generating a low-orbit satellite mobile communication ground experiment result. According to the technical scheme provided by the invention, the comprehensiveness and practicability of the low-orbit satellite mobile communication ground experiment method are improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of satellite mobile communication technology, and in particular, to a ground experiment method and system for low-orbit satellite mobile communication. Background Art

[0002] With the rapid development of low-orbit satellite communication systems, their applications in military, civil and commercial fields are becoming increasingly widespread. In particular, low-orbit satellite systems have shown unique advantages in global coverage, rapid response and high-bandwidth communications. However, the low orbit altitude of low-orbit satellites causes them to orbit the earth at a fast speed and have a small coverage area. A large number of satellites are required to form a constellation to achieve global coverage. In addition, the solar activity cycle has a significant impact on satellite communications, increasing the complexity and uncertainty of the communication system. Therefore, planning a diverse set of orbital parameters and simulating the layout of virtual satellites based on these parameters to generate a virtual satellite network model have become key requirements to ensure stable and reliable communication performance. This model is used to predict the location distribution of virtual satellites at different points in time and how they are connected to ground user terminals, providing a basis for subsequent path prediction and channel simulation.

[0003] Existing experimental methods for low-orbit satellite mobile communications mainly rely on static orbital parameters and fixed satellite layout models. These methods use pre-set orbital parameters to make simple path predictions and combine limited channel simulation techniques to evaluate communication performance. Existing solutions usually include planning a fixed orbital parameter set to generate a static satellite network model; using a basic path prediction algorithm to calculate the transmission path between the user terminal and the satellite; using simplified channel simulation technology to adjust the characteristics of the ground station's transmission signal to generate a preliminary communication environment test scenario; based on a static evaluation method, analyzing communication performance data and generating a simple performance report.

[0004] Although the existing ground experimental methods for low-orbit satellite mobile communications can meet basic communication needs to a certain extent, there are obvious shortcomings. The existing methods fail to fully consider the impact of different orbital altitudes and solar activity cycles on communication performance, resulting in the lack of comprehensiveness of the ground experimental methods for low-orbit satellite mobile communications; due to the use of static orbital parameters and fixed satellite layout models, the existing methods cannot adjust path prediction and channel simulation parameters in real time, and it is difficult to cope with complex dynamically changing environments; lack of in-depth analysis of the power consumption patterns of ground user terminals, unable to effectively balance the relationship between battery consumption and communication quality, limiting the overall performance improvement of the system. Summary of the invention

[0005] The embodiments of the present application provide a low-orbit satellite mobile communication ground experiment method and system to solve the problem of insufficient comprehensiveness of low-orbit satellite mobile communication ground experiment methods in the prior art.

[0006] In a first aspect, an embodiment of the present application provides a low-orbit satellite mobile communication ground experiment method, including:

[0007] According to the influence of different orbital altitudes and solar activity cycles, a variety of orbital parameter sets are planned, and the layout of virtual satellites is simulated according to the orbital parameter sets to generate a virtual satellite network model, which is used to predict the location distribution of virtual satellites at different time points and their connection methods with ground user terminals;

[0008] Based on the virtual satellite network model, a path prediction algorithm is used to calculate the optimal transmission path between the ground user terminal and the virtual satellite at each time point, and according to the optimal transmission path, the transmission signal characteristics of the ground station are accurately adjusted by real-time channel simulation technology to generate a low-orbit satellite communication environment test scenario, and the ground station is used to forward information to the ground user terminal through the virtual satellite;

[0009] Based on the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to evaluate the communication performance data of the ground user terminal under different orbit parameter configurations to obtain a performance evaluation result, and based on the performance evaluation result, combined with an energy efficiency optimization method, a power consumption mode of the ground user terminal is determined to analyze the relationship between the battery consumption and the communication quality of the ground user terminal under different working conditions, and a performance evaluation report is generated, wherein the power consumption mode refers to the way and rate at which the ground user terminal consumes power under different working conditions;

[0010] Integrate the power consumption data and communication quality data collected during the performance evaluation phase, and adjust and verify the integrated data through the optimization suggestions proposed in the performance evaluation report to transform the integrated data into practical solutions and generate ground experiment results for low-orbit satellite mobile communications.

[0011] Optionally, based on the virtual satellite network model, a path prediction algorithm is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, and according to the optimal transmission path, the transmission signal characteristics of the ground station are accurately adjusted by real-time channel simulation technology to generate a low-orbit satellite communication environment test scenario, including:

[0012] Based on the virtual satellite network model, the position and velocity vector of the virtual satellite at each time point are calculated and processed to generate a dynamic satellite orbit information library;

[0013] Based on the dynamic satellite orbit information database, taking into account the curvature of the earth and the refraction effect of the atmosphere, a path prediction algorithm is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, so as to minimize the delay and attenuation in signal transmission and generate an optimized transmission path solution;

[0014] Based on the optimized transmission path scheme, real-time channel simulation technology is used to accurately adjust the characteristics of the ground station transmission signal, and the influence of different weather conditions and multipath effects is simulated to generate signal characteristic parameter processing results;

[0015] Based on the signal characteristic parameter processing results, the actual communication performance data is compared with the expected results, the simulation parameters are optimized, and a low-orbit satellite communication environment test scenario is generated.

[0016] Optionally, the method of calculating the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point based on the dynamic satellite orbit information library, taking into account the curvature of the earth and the refraction effect of the atmosphere, and using a path prediction algorithm to minimize delay and attenuation in signal transmission and generate an optimized transmission path solution includes:

[0017] Based on the dynamic satellite orbit information library, simulating the motion state of the virtual satellite at different time points to generate a satellite motion state record;

[0018] Based on the satellite motion state record, taking into account the influence of the earth's curvature and the atmospheric refraction effect, a path prediction algorithm is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, so as to minimize the delay and attenuation in signal transmission and generate a preliminary transmission path plan;

[0019] Based on the preliminary transmission path plan, the performance under different transmission paths is evaluated and compared, the transmission path parameters are optimized, and the optimized transmission path plan is generated by combining the transmission effects under different conditions.

[0020] Optionally, based on the optimized transmission path scheme, real-time channel simulation technology is used to accurately adjust the transmission signal characteristics of the ground station, and the influence of different weather conditions and multipath effects is simulated to generate signal characteristic parameter processing results, including:

[0021] Based on the optimized transmission path scheme, the transmission signal characteristics of the ground station are analyzed in detail, the signal strength and phase changes are evaluated, and a signal characteristic parameter set is generated;

[0022] Based on the signal characteristic parameter set, real-time channel simulation technology is used to simulate the influence of different weather conditions and multipath effects, and the transmission signal characteristics of the ground station are accurately adjusted and processed to generate signal characteristic simulation results;

[0023] Based on the signal characteristic simulation results, a comprehensive evaluation process is performed on the communication performance in each simulation scenario to generate a simulation scenario communication performance evaluation result;

[0024] Based on the communication performance evaluation results of the simulation scenario, the transmission power and coding strategy are adjusted to generate signal characteristic parameter processing results.

[0025] Optionally, based on the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to evaluate the communication performance data of the ground user terminal under different orbit parameter configurations to obtain a performance evaluation result, and based on the performance evaluation result, combined with an energy efficiency optimization method, a power consumption mode of the ground user terminal is determined to analyze the relationship between the battery consumption and the communication quality of the ground user terminal under different working conditions, and a performance evaluation report is generated, including:

[0026] In the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to dynamically monitor and evaluate the communication performance of the ground user terminal under different orbit parameter configurations to obtain a performance evaluation result; wherein the key indicators for evaluating communication performance include signal strength, bit error rate, data transmission rate, and delay, and the key indicators are used to reflect the communication quality of the ground user terminal under the influence of different orbital altitudes and solar activity cycles;

[0027] Based on the performance evaluation results, combined with the energy efficiency optimization method, the power consumption mode of the ground user terminal under different working conditions is determined, and the relationship between battery consumption and communication quality under different working conditions is analyzed; according to the analysis results, the performance and power consumption mode of the ground user terminal under different working conditions are summarized to generate a performance evaluation report, which includes the performance evaluation results and optimization suggestions.

[0028] Optionally, in the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to dynamically monitor and evaluate the communication performance of a ground user terminal under different orbit parameter configurations to obtain a performance evaluation result, including:

[0029] Based on the low-orbit satellite communication environment test scenario, the communication data of the ground user terminal under different orbit parameter configurations is collected and processed in real time to generate a structured communication performance data set;

[0030] Based on the structured communication performance data set, an adaptive performance evaluation algorithm is used to automatically adjust the evaluation criteria according to different orbital altitudes and solar activity cycles, and the key communication performance indicators at each moment in the structured communication performance data set are dynamically monitored and processed to generate real-time performance evaluation records;

[0031] Based on the real-time performance evaluation records, combined with a multi-dimensional analysis method, the communication quality differences in the structured communication performance data set under different track parameter configurations are identified, and an intermediate performance evaluation result is generated;

[0032] Based on the intermediate results of the performance evaluation, multi-level analysis and processing are performed to identify optimal and suboptimal orbit parameter configurations and generate performance evaluation results.

[0033] Optionally, the power consumption data and communication quality data collected in the performance evaluation phase are integrated, and the integrated data is adjusted and verified through the optimization suggestions proposed in the performance evaluation report to convert the integrated data into a practical solution and generate low-orbit satellite mobile communication ground experiment results, including:

[0034] Based on the performance evaluation report, the power consumption data and communication quality data collected in all test phases are systematically collated and processed to generate a structured data set. This step ensures the integrity and consistency of the data, provides a solid foundation for subsequent data integration, and ensures the standardization and accuracy of data management.

[0035] Based on the structured data set, combined with the optimization suggestions put forward in the performance evaluation report, the power consumption data and communication quality data are compared and analyzed, the differences and influencing factors under different working conditions are identified, and a detailed comparative analysis report is generated. This step reveals the specific effects of the optimization suggestions by comparing and analyzing the performance under different configurations, and prepares the necessary input for the next step of adjustment and verification.

[0036] Based on the detailed comparative analysis report, the energy efficiency optimization method is used to adjust and verify the validity of the integrated data. By simulating and verifying the power consumption mode and communication quality of the user terminal, it is ensured that the optimization measures can actually improve the overall performance of the system and generate a verified optimization plan. This step not only verifies the feasibility of the optimization suggestions, but also provides a specific implementation path for subsequent practical solutions to ensure the actual effect of the optimization measures.

[0037] Based on the verified optimization scheme, the integrated power consumption data and communication quality data are transformed into practical solutions, and the overall performance and potential improvement points of the system are comprehensively considered to finally generate the ground experiment results of low-orbit satellite mobile communication. This step not only summarizes the various indicators in the experiment, but also proposes a specific optimization scheme, which provides a solid foundation for the further development of low-orbit satellite mobile communication systems.

[0038] Optionally, based on the satellite motion state record, the influence of the earth's curvature and the atmospheric refraction effect is comprehensively considered, and a path prediction algorithm is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, minimize the delay and attenuation in signal transmission, and generate a preliminary transmission path plan, including:

[0039] Performing high-precision time synchronization processing on the satellite motion state record, simulating atmospheric conditions at different altitudes by constructing a multi-layer atmospheric model, and evaluating the dynamic impact of altitude changes of ground user terminals on signal propagation paths, so as to generate signal transmission delay;

[0040] The signal transmission delay is calculated using the following formula:

[0041]

[0042] Where D(t) is the signal transmission delay at each moment; α is the influence coefficient of the earth curvature; β is the refraction effect coefficient of the atmosphere; d(t) is the function of the distance between the ground user terminal and the virtual satellite changing with time; γ is the signal propagation constant; δ is the angle conversion factor; θ(t) is the function of the angle between the line between the satellite and the ground user terminal and the ground plane changing with time; η is the altitude correction coefficient; ζ is the altitude influence factor; h(t) is the altitude difference between the ground user terminal and the ground;

[0043] Based on the signal transmission delay, nonlinearly combining the delay and attenuation under different transmission paths to form a comprehensive performance scoring function, and adjusting the importance of each transmission path by introducing a weight coefficient to generate a comprehensive performance evaluation value;

[0044] The comprehensive performance evaluation value is calculated using the following formula:

[0045]

[0046] Among them, P opt (t) is the comprehensive performance evaluation value of all candidate transmission paths at each moment; w i is the weight coefficient of different candidate transmission paths; D(t) is the signal transmission delay at each moment; L i (t) is the signal attenuation degree of the i-th candidate transmission path at each moment; i is the index of the candidate transmission path, from 1 to N; N is the number of candidate transmission paths; ρ is the dynamic adjustment coefficient; σ is the speed influence factor; V(t) is the movement speed of the ground user terminal;

[0047] Based on the comprehensive performance evaluation value, normalization processing is performed to ensure comparability between different transmission paths, and an optimization algorithm is used to perform sorting to determine the optimal transmission path, and a preliminary transmission path plan is generated based on the optimal transmission path.

[0048] Optionally, based on the structured communication performance data set, an adaptive performance evaluation algorithm is used to automatically adjust the evaluation criteria according to different orbital altitudes and solar activity cycles, and dynamically monitor and process the key communication performance indicators at each moment in the structured communication performance data set to generate a real-time performance evaluation record, including:

[0049] Based on the structured communication performance data table, the measurement error is eliminated by filtering and denoising technology, key performance indicators are extracted, normalized, a multi-dimensional feature matrix is ​​constructed, and each indicator is integrated into an overall representation to generate a comprehensive performance indicator;

[0050] The comprehensive performance index is calculated by the following formula:

[0051]

[0052] Among them, K(t) is the comprehensive performance index at time t; μ is the performance weight coefficient; C(t) is the connection stability at time t; max(C(t)) is the maximum value of the connection stability at time t; v is the signal strength adjustment coefficient; ω is the frequency conversion factor; F(t) is the signal frequency stability at time t; ξ is the quality correction coefficient; v is the quality impact factor; G(t) is the signal quality index at time t;

[0053] Based on the comprehensive performance index, nonlinear transformation is performed to enhance the discrimination, environmental impact factors are introduced, the evaluation criteria are adjusted to adapt to the real-time changing communication environment, and the evaluation criteria are further optimized by combining the path reliability and delay index to generate an adaptive evaluation criteria;

[0054] The adaptive evaluation criteria are calculated using the following formula:

[0055]

[0056] Among them, A(t) is the adaptive evaluation standard at time t; χ is the comprehensive adjustment coefficient; ρ is the path weight factor; K j (t) is the comprehensive performance index of the jth path; η' is the environmental correction coefficient; φ is the environmental impact factor; I(t) is the environmental change index at time t; θ is the reliability adjustment coefficient; J j (t) is the reliability index of the jth path at time t; H j (t) is the delay index of the jth path at time t; i is the index of the candidate path, from 1 to N; N is the number of candidate paths;

[0057] Based on the adaptive evaluation criteria, all path evaluation values ​​are weighted averaged to highlight the paths with excellent performance, and cluster analysis is used to identify path groups with similar performance characteristics to generate real-time performance evaluation records.

[0058] In a second aspect, an embodiment of the present application provides a low-orbit satellite mobile communication ground experimental system, including:

[0059] The planning module is used to plan a diverse set of orbital parameters, comprehensively consider the impact of different orbital altitudes and solar activity cycles, and generate a virtual satellite network model;

[0060] A calculation module is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point based on the virtual satellite network model and using a path prediction algorithm, and to accurately adjust the signal transmission characteristics of the ground station according to the optimal transmission path through real-time channel simulation technology to generate a low-orbit satellite communication environment test scenario;

[0061] An analysis module is used to evaluate the communication performance data of the ground user terminal under different orbit parameter configurations using an adaptive performance evaluation algorithm based on the low-orbit satellite communication environment test scenario to obtain a performance evaluation result, and based on the performance evaluation result, combined with an energy efficiency optimization method, determine the power consumption mode of the ground user terminal to analyze the relationship between the battery consumption and the communication quality of the ground user terminal under different working conditions, and generate a performance evaluation report;

[0062] The conversion module is used to integrate the power consumption data and communication quality data collected in the performance evaluation phase, and adjust and verify the integrated data through the optimization suggestions proposed in the performance evaluation report to convert the integrated data into practical solutions and generate low-orbit satellite mobile communication ground experiment results.

[0063] In a third aspect, an embodiment of the present application provides a computing device, including a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a low-orbit satellite mobile communication ground experimental method as described in the first aspect.

[0064] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program. When the computer program is executed by a computer, it implements a low-orbit satellite mobile communication ground experimental method as described in the first aspect.

[0065] In an embodiment of the present application, a variety of orbital parameter sets are planned according to the influence of different orbital altitudes and the solar activity cycle, and the layout of virtual satellites is simulated according to the orbital parameter sets to generate a virtual satellite network model, and the virtual satellite network model is used to predict the position distribution of virtual satellites at different time points and their connection methods with ground user terminals; based on the virtual satellite network model, a path prediction algorithm is used to calculate the optimal transmission path between the ground user terminal and the virtual satellite at each time point; according to the optimal transmission path, the transmission signal characteristics of the ground station are accurately adjusted through real-time channel simulation technology to generate a low-orbit satellite communication environment test scenario, and the ground station is used to forward information to the ground user terminal through the virtual satellite; based on the low orbit Satellite communication environment test scenario, using adaptive performance evaluation algorithm, evaluate the communication performance data of ground user terminals under different orbit parameter configurations, obtain performance evaluation results, and based on the performance evaluation results, combined with energy efficiency optimization methods, determine the power consumption mode of the ground user terminal, so as to analyze the relationship between the battery consumption and communication quality of the ground user terminal under different working conditions, and generate a performance evaluation report. The power consumption mode refers to the way and rate of power consumption of the ground user terminal under different working conditions; integrate the power consumption data and communication quality data collected in the performance evaluation stage, and adjust and verify the integrated data through the optimization suggestions proposed in the performance evaluation report, so as to transform the integrated data into practical solutions and generate low-orbit satellite mobile communication ground experimental results. By planning a variety of orbital parameter sets and simulating virtual satellite network models, this method can accurately predict the location distribution of virtual satellites at different time points and their connection methods with ground user terminals. Combined with path prediction algorithms and real-time channel simulation technology, the signal transmission path at each time point can be optimized to minimize delay and attenuation, thereby significantly improving communication quality and reliability. In addition, based on the adaptive performance evaluation algorithm and energy efficiency optimization method, this method can not only evaluate the communication performance under different orbit parameter configurations, but also determine the power consumption mode of the ground user terminal, analyze the relationship between battery consumption and communication quality, and generate a detailed performance evaluation report. Finally, by integrating and verifying the data, it is transformed into a practical solution to ensure the practicality and operability of the experimental results.

[0066] Furthermore, by building a dynamic satellite orbit information database, the curvature of the earth and the refraction effect of the atmosphere are comprehensively considered to ensure the calculation accuracy of the optimal transmission path. Real-time channel simulation technology is used to simulate the influence of different weather conditions and multipath effects, making the signal characteristic parameters closer to the actual communication environment. By comparing the actual communication performance data with the expected results and continuously optimizing the simulation parameters, the low-orbit satellite communication environment test scenario finally generated is more realistic and reliable, providing a solid foundation for subsequent performance evaluation.

[0067] Furthermore, by dynamically monitoring and evaluating the communication performance of ground user terminals under different orbital parameter configurations, the accuracy and timeliness of the evaluation results are ensured. Key indicators (such as signal strength, bit error rate, data transmission rate, and latency) can fully reflect the communication quality, especially under the influence of different orbital altitudes and solar activity cycles. Combined with the energy efficiency optimization method, the power consumption mode of the ground user terminal under different working conditions is determined, and the relationship between battery consumption and communication quality is deeply analyzed. The generated performance evaluation report not only contains detailed evaluation results, but also puts forward specific optimization suggestions, which provides a scientific basis for system optimization and improvement, and improves the overall performance and energy efficiency of the system.

[0068] These and other aspects of the present application will become more clearly understood in the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0070] Figure 1 A flowchart of a ground experiment method for low-orbit satellite mobile communications provided in an embodiment of the present application;

[0071] Figure 2 A schematic diagram of the structure of a low-orbit satellite mobile communication ground experimental system provided in an embodiment of the present application;

[0072] Figure 3 A schematic diagram of the structure of a computing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0073] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0074] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0075] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0076] Figure 1 A flowchart of a ground experiment method for low-orbit satellite mobile communication is provided for the embodiment of the present application, such as Figure 1 As shown, the method includes:

[0077] 101. According to different orbital altitudes and the influence of solar activity cycles, a variety of orbital parameter sets are planned, and the layout of virtual satellites is simulated according to the orbital parameter sets to generate a virtual satellite network model, wherein the virtual satellite network model is used to predict the position distribution of virtual satellites at different time points and the connection mode with ground user terminals;

[0078] In this step, the orbit parameter set includes a series of parameters used to describe the satellite orbit, such as orbit altitude, inclination, right ascension of ascending node, argument of perigee and mean motion.

[0079] The virtual satellite network model is a simulation model generated based on the planned orbital parameter set. It is used to predict the position distribution of virtual satellites at different time points and their connection methods with ground user terminals. The model not only takes into account the satellite's own motion characteristics, but also comprehensively considers factors such as the earth's curvature and the refraction effect of the atmosphere to ensure the accuracy of the prediction results.

[0080] Position distribution refers to the specific coordinate information of the virtual satellite at different time points.

[0081] The connection method refers to the configuration of the communication link between the satellite and the ground user terminal, including the selection of signal transmission path, frequency allocation, etc.

[0082] In an embodiment of the present application, first, a diverse set of orbital parameters is planned according to the influence of different orbital altitudes and the solar activity cycle; second, based on the orbital parameter set, simulation software is used to simulate the layout of virtual satellites and generate a virtual satellite network model; third, the model is used to predict the position distribution of virtual satellites at different time points and their connection methods with ground user terminals; finally, these prediction results are used for subsequent path prediction and channel simulation analysis.

[0083] Assuming that a low-orbit satellite constellation system needs to cover multiple areas around the world, in order to ensure communication quality and reliability, first, a variety of orbital parameter sets are planned according to different orbital altitudes (such as 500km, 700km, 1000km) and solar activity cycles (such as peak and quiet periods of sunspot activity); secondly, based on these parameter sets, simulation software (such as STK or GMAT) is used to simulate the layout of virtual satellites and generate a detailed virtual satellite network model; thirdly, the model is used to predict the hourly position distribution of virtual satellites in the next week and their connection methods with ground user terminals; finally, these prediction results are used for subsequent path prediction and channel simulation analysis to ensure the optimal configuration of the communication system.

[0084] 102. Based on the virtual satellite network model, use a path prediction algorithm to calculate the optimal transmission path between the ground user terminal and the virtual satellite at each time point, and accurately adjust the transmission signal characteristics of the ground station through real-time channel simulation technology according to the optimal transmission path to generate a low-orbit satellite communication environment test scenario. The ground station is used to forward information to the ground user terminal through the virtual satellite;

[0085] In this step, the path prediction algorithm is a technology used to determine the best communication path. It calculates the optimal path that can minimize signal transmission delay and attenuation by analyzing the relative position, distance and environmental conditions between the satellite and the ground user terminal.

[0086] The dynamic satellite orbit information library is a data set that stores the virtual satellite position and velocity vector at each time point, which is used for subsequent path prediction and channel simulation analysis.

[0087] The atmospheric refraction effect refers to the path deflection phenomenon caused by changes in air density when electromagnetic waves propagate in the atmosphere.

[0088] The optimal transmission path refers to the best path from the ground user terminal to the virtual satellite that can minimize signal transmission delay and attenuation at a given time point and environment.

[0089] Real-time channel simulation technology is a method of simulating channel characteristics in an actual communication environment. By introducing factors such as multipath effects and weather conditions, the characteristics of the ground station's transmitted signals are accurately adjusted to ensure that the simulation results are close to the actual situation.

[0090] The characteristics of the transmitted signal include parameters such as the signal's frequency, power, and modulation method. These parameters directly affect the signal's propagation effect and reception quality.

[0091] The multipath effect refers to the phenomenon that signals reach the receiving end through different paths during the propagation process, resulting in signal superposition or mutual interference.

[0092] The signal characteristic parameter processing result refers to the transmission signal characteristic parameters adjusted by real-time channel simulation technology, as well as the final signal characteristics obtained after simulating different weather conditions and multipath effects.

[0093] The low-orbit satellite communication environment test scenario refers to a virtual environment generated through the above steps for evaluating and optimizing the performance of the low-orbit satellite communication system. The scenario includes all necessary simulation parameters and signal characteristics to ensure the accuracy and reliability of the test results.

[0094] In an embodiment of the present application, firstly, based on the virtual satellite network model, the position and velocity vector of the virtual satellite at each time point are calculated and processed to generate a dynamic satellite orbit information library; secondly, combining the curvature of the earth and the refraction effect of the atmosphere, a path prediction algorithm is used to calculate the optimal transmission path between the user terminal and the virtual satellite at each time point; thirdly, real-time channel simulation technology is used to accurately adjust the signal characteristics of the ground station transmission, and simulate the influence of different weather conditions and multipath effects to generate signal characteristic parameter processing results; finally, the actual communication performance data is compared with the expected results, the simulation parameters are optimized, and a low-orbit satellite communication environment test scenario is generated.

[0095] For example, continuing with the above example, assuming that a virtual satellite network model has been generated, the path prediction will be performed based on the model. First, the position and velocity vector of the virtual satellite at each time point are calculated and processed to generate a dynamic satellite orbit information library; second, the path prediction algorithm is used to calculate the optimal transmission path between the user terminal and the virtual satellite at each time point in combination with the curvature of the earth and the refraction effect of the atmosphere; third, the real-time channel simulation technology is used to accurately adjust the characteristics of the signal transmitted by the ground station, and simulate the influence of different weather conditions and multipath effects to generate signal characteristic parameter processing results; finally, the actual communication performance data is compared with the expected results, the simulation parameters are optimized, and the low-orbit satellite communication environment test scenario is generated to ensure the authenticity and reliability of the communication environment.

[0096] 103. Based on the low-orbit satellite communication environment test scenario, use an adaptive performance evaluation algorithm to evaluate the communication performance data of the ground user terminal under different orbit parameter configurations to obtain a performance evaluation result, and based on the performance evaluation result, in combination with an energy efficiency optimization method, determine the power consumption mode of the ground user terminal to analyze the relationship between the battery consumption and the communication quality of the ground user terminal under different working conditions, and generate a performance evaluation report, wherein the power consumption mode refers to the way and rate of power consumption of the ground user terminal under different working conditions;

[0097] In this step, the adaptive performance evaluation algorithm is an algorithm that can automatically adjust the evaluation criteria. It reflects the communication quality of ground user terminals under different orbital altitudes and solar activity cycles by dynamically monitoring and evaluating key communication performance indicators (such as signal strength, bit error rate, data transmission rate, and delay).

[0098] Key communication performance indicators include signal strength, bit error rate, data transmission rate, delay, etc. These indicators are used to comprehensively reflect the communication quality.

[0099] Energy efficiency optimization methods aim to find the most appropriate power consumption mode to balance the relationship between battery consumption and communication quality and extend the service life of the device. Commonly used methods include dynamic voltage and frequency scaling (DVFS) and sleep mode switching.

[0100] The power consumption mode refers to the way and rate at which ground user terminals consume power under different working conditions. The power consumption mode of terminal equipment will be different under different communication tasks and environmental conditions.

[0101] The performance evaluation report contains detailed evaluation results and optimization suggestions, summarizing the performance and power consumption patterns of ground user terminals under different working conditions.

[0102] In an embodiment of the present application, first, in a low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to dynamically monitor and evaluate the communication performance of the ground user terminal under different orbital parameter configurations to obtain a performance evaluation result; secondly, based on the performance evaluation result, combined with an energy efficiency optimization method, the power consumption mode of the ground user terminal under different working conditions is determined; thirdly, the relationship between battery consumption and communication quality under different working conditions is analyzed; finally, based on the analysis results, the performance and power consumption mode of the ground user terminal under different working conditions are summarized to generate a performance evaluation report.

[0103] For example, continuing with the above example, assuming that a low-orbit satellite communication environment test scenario has been generated, we will evaluate the communication performance and determine the power consumption mode. First, in this test scenario, an adaptive performance evaluation algorithm is used to dynamically monitor and evaluate the communication performance of the ground user terminal under different orbit parameter configurations to obtain performance evaluation results; secondly, based on the performance evaluation results, combined with the energy efficiency optimization method, the power consumption mode of the ground user terminal under different working conditions is determined; thirdly, the relationship between battery consumption and communication quality under different working conditions is analyzed; finally, based on the analysis results, the performance and power consumption mode of the ground user terminal under different working conditions are summarized, a performance evaluation report is generated, and specific optimization suggestions are provided.

[0104] 104. Integrate the power consumption data and communication quality data collected during the performance evaluation phase, and adjust and verify the integrated data through the optimization suggestions proposed in the performance evaluation report to transform the integrated data into practical solutions and generate ground experimental results for low-orbit satellite mobile communications.

[0105] In this step, the power consumption data records the specific situation of power consumption of the ground user terminal under different working conditions, including power consumption rate, maximum power consumption value, etc.

[0106] The communication quality data reflects the communication performance of ground user terminals under different orbital parameter configurations, including key indicators such as signal strength, bit error rate, data transmission rate, and delay.

[0107] A practical solution is a specific implementation strategy that is derived after adjusting and verifying the integrated power consumption data and communication quality data based on the optimization suggestions proposed in the performance evaluation report.

[0108] The ground experimental results of low-orbit satellite mobile communications refer to the final experimental results after integration and verification through the above steps, covering the data and analysis conclusions of all test phases. These results provide a reliable reference basis for the practical application of low-orbit satellite communication systems.

[0109] In an embodiment of the present application, first, the power consumption data and communication quality data collected during the performance evaluation phase are integrated; second, the integrated data is adjusted and verified through the optimization suggestions proposed in the performance evaluation report; third, the integrated data is converted into practical solutions; finally, the ground experimental results of low-orbit satellite mobile communications are generated to ensure the practicality and operability of the experimental results.

[0110] For example, continuing with the previous example, assuming that a performance evaluation report has been generated, we will integrate the data and generate experimental results. First, integrate the power consumption data and communication quality data collected during the performance evaluation phase; second, adjust and verify the integrated data through the optimization suggestions proposed in the performance evaluation report; third, convert the integrated data into practical solutions; finally, generate low-orbit satellite mobile communication ground experimental results to ensure the practicality and operability of the experimental results, and provide a reliable reference for practical applications.

[0111] In order to solve the errors that may occur during path prediction and channel simulation, in some embodiments, the path prediction and generation of low-orbit satellite communication environment test scenarios based on the virtual satellite network model in step 102 include: based on the virtual satellite network model, calculating and processing the position and velocity vector of the virtual satellite at each time point to generate a dynamic satellite orbit information library; based on the dynamic satellite orbit information library, comprehensively considering the curvature of the earth and the refraction effect of the atmosphere, using a path prediction algorithm, calculating the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point to minimize the delay and attenuation in signal transmission, and generating an optimized transmission path solution; based on the optimized transmission path solution, using real-time channel simulation technology to accurately adjust the signal characteristics of the ground station transmission, and simulating the influence of different weather conditions and multipath effects to generate signal characteristic parameter processing results; based on the signal characteristic parameter processing results, comparing the actual communication performance data with the expected results, optimizing the simulation parameters, and generating a low-orbit satellite communication environment test scenario.

[0112] In this embodiment, the dynamic satellite orbit information library is a data set storing virtual satellite positions and velocity vectors at each time point, which is used for subsequent path prediction and channel simulation analysis.

[0113] The optimized transmission path plan refers to the best path plan calculated by the path prediction algorithm that can minimize signal transmission delay and attenuation. It not only takes into account the physical distance, but also comprehensively considers environmental factors such as multipath effects and weather conditions.

[0114] The signal characteristic parameter processing results refer to the transmission signal characteristic parameters adjusted by real-time channel simulation technology, as well as the final signal characteristics obtained after simulating different weather conditions and multipath effects. The results are used to verify and optimize the communication environment test scenarios.

[0115] The optimal transmission path refers to the best path from the ground user terminal to the virtual satellite that can minimize signal transmission delay and attenuation at a given time point and environment. This path not only takes into account the physical distance, but also comprehensively considers environmental factors such as multipath effects and weather conditions.

[0116] The signal characteristic parameter processing result refers to the transmission signal characteristic parameters adjusted by real-time channel simulation technology, as well as the final signal characteristics obtained after simulating different weather conditions and multipath effects.

[0117] In an embodiment of the present application, firstly, based on the virtual satellite network model, the position and velocity vector of the virtual satellite at each time point are calculated and processed to generate a dynamic satellite orbit information library; secondly, the information library is used in combination with the curvature of the earth and the refraction effect of the atmosphere, and a path prediction algorithm is used to calculate the optimal transmission path between the user terminal and the virtual satellite at each time point to minimize the delay and attenuation in the signal transmission, and generate an optimized transmission path plan; thirdly, based on the optimized transmission path plan, real-time channel simulation technology is used to accurately adjust the signal characteristics transmitted by the ground station, and the influence of different weather conditions and multipath effects is simulated to generate signal characteristic parameter processing results; finally, the actual communication performance data is compared with the expected results, the simulation parameters are optimized, and a low-orbit satellite communication environment test scenario is generated.

[0118] Here is a specific example:

[0119] Assuming that a low-orbit satellite constellation system needs to cover multiple areas around the world, in order to ensure communication quality and reliability, we first calculate and process the position and velocity vector of the virtual satellite at each time point based on the virtual satellite network model to generate a dynamic satellite orbit information library; secondly, using this information library and combining the earth's curvature and the atmospheric refraction effect, we use the path prediction algorithm to calculate the optimal transmission path between the user terminal and the virtual satellite at each time point to minimize the delay and attenuation in signal transmission and generate an optimized transmission path plan; thirdly, based on the optimized transmission path plan, we use real-time channel simulation technology to accurately adjust the characteristics of the ground station's transmitted signal, simulate different weather conditions and multipath effects, and generate signal characteristic parameter processing results; finally, we compare the actual communication performance data with the expected results, optimize the simulation parameters, and generate a low-orbit satellite communication environment test scenario to ensure the authenticity and reliability of the communication environment and provide a reliable reference for practical applications.

[0120] In order to solve the problem of signal transmission delay and attenuation in low-orbit satellite communications, in some embodiments, the path prediction and optimization scheme in step 102 includes: based on the dynamic satellite orbit information library, simulating the motion state of the virtual satellite at different time points to generate a satellite motion state record; based on the satellite motion state record, comprehensively considering the influence of the earth's curvature and the refraction effect of the atmosphere, using a path prediction algorithm, calculating the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, so as to minimize the delay and attenuation in signal transmission, and generate a preliminary transmission path plan; based on the preliminary transmission path plan, evaluating and comparing the performance under different transmission paths, optimizing the transmission path parameters, and combining the transmission effects under different conditions to generate an optimized transmission path plan.

[0121] In this embodiment, the dynamic satellite orbit information library is a data set that stores the virtual satellite position and velocity vector at each time point. The information library not only records the position changes of the satellite, but also provides basic data support for real-time adjustment of the communication path.

[0122] Satellite motion status records refer to detailed records generated through simulation processing that describe the motion characteristics of virtual satellites at different time points, including parameters such as position, velocity, acceleration, etc., which are used to accurately calculate communication paths.

[0123] The preliminary transmission path plan refers to the transmission path generated based on initial calculations and has not yet been subjected to performance evaluation and optimization.

[0124] The optimized transmission path solution refers to the best transmission path solution generated by comparing the performance under different transmission paths and combining the transmission effects under different conditions.

[0125] In an embodiment of the present application, firstly, based on the dynamic satellite orbit information library, the motion state of the virtual satellite at different time points is simulated and processed to generate a detailed satellite motion state record; secondly, using the motion state record and taking into account the influence of the earth's curvature and the refraction effect of the atmosphere, a path prediction algorithm is used to calculate the optimal transmission path between the user terminal and the virtual satellite at each time point to minimize the delay and attenuation in the signal transmission, and generate a preliminary transmission path plan; thirdly, based on the preliminary transmission path plan, the performance under different transmission paths is evaluated and compared, the transmission path parameters are optimized, and the transmission effects under different conditions are combined to generate an optimized transmission path plan; finally, the optimized transmission path plan is applied to the actual communication environment to ensure the efficient operation of the communication system.

[0126] Here is a specific example:

[0127] For example, suppose a low-orbit satellite system is designed to provide reliable communication support for emergency rescue in remote areas. First, based on the dynamic satellite orbit information library, the motion state of the virtual satellite at different time points is simulated and processed to generate a detailed satellite motion state record; secondly, using the motion state record and taking into account the influence of the earth's curvature and the refraction effect of the atmosphere, the path prediction algorithm is used to calculate the optimal transmission path between the user terminal and the virtual satellite at each time point to minimize the delay and attenuation in signal transmission and generate a preliminary transmission path plan; thirdly, based on the preliminary transmission path plan, the performance under different transmission paths is evaluated and compared, the transmission path parameters are optimized, and the transmission effects under different conditions are combined to generate an optimized transmission path plan; finally, the optimized transmission path plan is applied to the actual communication environment to ensure that the emergency rescue team can still maintain efficient communication connections under complex terrain and extreme weather conditions, providing solid support for rescue operations.

[0128] In order to solve the problem of signal characteristic adjustment and optimization in low-orbit satellite communications, in some embodiments, the real-time channel simulation and signal characteristic optimization scheme in step 102 includes: based on the optimized transmission path scheme, performing a detailed analysis of the transmission signal characteristics of the ground station, evaluating the signal strength and phase changes, and generating a signal characteristic parameter set; based on the signal characteristic parameter set, using real-time channel simulation technology to simulate the influence of different weather conditions and multipath effects, accurately adjusting the transmission signal characteristics of the ground station, and generating signal characteristic simulation results; based on the signal characteristic simulation results, performing a comprehensive evaluation of the communication performance in each simulation scenario, and generating a simulation scenario communication performance evaluation result; based on the simulation scenario communication performance evaluation result, adjusting the transmission power and coding strategy to generate a signal characteristic parameter processing result.

[0129] In this embodiment, the optimized transmission path solution refers to the best transmission path solution generated by comparing the performance under different transmission paths and combining the transmission effects under different conditions.

[0130] The transmission signal characteristics refer to the various properties of the signal sent by the ground station, such as frequency, power, modulation method, etc. These characteristics directly affect the signal propagation effect and reception quality.

[0131] The signal characteristic parameter set is a data set generated after a detailed analysis of the transmission signal characteristics, including parameters such as signal strength and phase change, which are used for subsequent channel simulation and adjustment processing.

[0132] The signal characteristic simulation results refer to the transmission signal characteristic parameters adjusted by real-time channel simulation technology, as well as the final signal characteristics obtained after simulating different weather conditions and multipath effects.

[0133] The simulation scenario communication performance evaluation results are a comprehensive evaluation of the communication performance in each simulation scenario, including key indicators such as bit error rate, data transmission rate, and delay, which are used to verify and optimize the communication system.

[0134] Coding strategy refers to the way of encoding transmitted data to improve the reliability and efficiency of data transmission.

[0135] In an embodiment of the present application, first, based on the optimized transmission path scheme, the transmission signal characteristics of the ground station are analyzed in detail, the signal strength and phase changes are evaluated, and a signal characteristic parameter set is generated; secondly, based on the signal characteristic parameter set, real-time channel simulation technology is used to simulate the influence of different weather conditions and multipath effects, and the transmission signal characteristics of the ground station are accurately adjusted and processed to generate signal characteristic simulation results; thirdly, based on the signal characteristic simulation results, the communication performance in each simulation scenario is comprehensively evaluated and processed to generate simulation scenario communication performance evaluation results; finally, based on the simulation scenario communication performance evaluation results, the transmission power and coding strategy are adjusted to generate signal characteristic parameter processing results to ensure the optimal performance of the communication system.

[0136] Here is a specific example:

[0137] For example, suppose a low-orbit satellite system is designed to provide stable communication support for a polar expedition team. First, based on the optimized transmission path solution, the transmission signal characteristics of the ground station are analyzed in detail, the signal strength and phase changes are evaluated, and a signal characteristic parameter set is generated; secondly, based on the signal characteristic parameter set, real-time channel simulation technology is used to simulate different weather conditions (such as polar cold and blizzards) and multipath effects, and the transmission signal characteristics of the ground station are accurately adjusted and processed to generate signal characteristic simulation results; thirdly, based on the signal characteristic simulation results, the communication performance in each simulation scenario is comprehensively evaluated and processed to generate simulation scenario communication performance evaluation results; finally, based on the simulation scenario communication performance evaluation results, the transmission power and coding strategy are adjusted to generate signal characteristic parameter processing results to ensure that the polar expedition team can still maintain reliable communication connections under extreme environmental conditions and ensure the smooth progress of scientific research tasks.

[0138] In order to solve the communication performance evaluation and energy efficiency optimization problems under different orbital parameter configurations in low-orbit satellite communications, in some embodiments, the adaptive performance evaluation and power consumption mode determination scheme in step 103 includes: in the low-orbit satellite communication environment test scenario, using an adaptive performance evaluation algorithm to dynamically monitor and evaluate the communication performance of the ground user terminal under different orbital parameter configurations to obtain a performance evaluation result; wherein, the key indicators for evaluating communication performance include signal strength, bit error rate, data transmission rate, and delay, and the key indicators are used to reflect the communication quality of the ground user terminal under the influence of different orbital altitudes and solar activity cycles; based on the performance evaluation results, combined with the energy efficiency optimization method, the power consumption mode of the ground user terminal under different working states is determined, and the relationship between battery consumption and communication quality under different working states is analyzed; according to the analysis results, the performance and power consumption mode of the ground user terminal under different working states are summarized to generate a performance evaluation report, and the performance evaluation report includes the performance evaluation results and optimization suggestions.

[0139] In this embodiment, the performance evaluation result refers to a specific conclusion obtained after dynamically monitoring and evaluating the communication performance of the ground user terminal under different orbit parameter configurations through an adaptive performance evaluation algorithm.

[0140] The power consumption mode refers to the way and rate at which ground user terminals consume power under different working conditions. The power consumption mode of terminal equipment will be different under different communication tasks and environmental conditions.

[0141] Battery consumption refers to the amount of power consumed by a ground user terminal during operation, usually expressed in milliampere hours (mAh).

[0142] The performance evaluation report contains detailed evaluation results and optimization suggestions, summarizing the performance and power consumption patterns of ground user terminals under different working conditions, and providing a scientific basis for system optimization and improvement.

[0143] In an embodiment of the present application, first, in the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to dynamically monitor and evaluate the communication performance of the ground user terminal under different orbital parameter configurations to obtain a performance evaluation result; wherein, key indicators for evaluating communication performance include signal strength, bit error rate, data transmission rate, and delay, and these key indicators are used to reflect the communication quality of the ground user terminal under the influence of different orbital altitudes and solar activity cycles; secondly, based on the performance evaluation results, combined with the energy efficiency optimization method, the power consumption mode of the ground user terminal under different working states is determined, and the relationship between battery consumption and communication quality under different working states is analyzed; thirdly, based on the analysis results, the performance and power consumption mode of the ground user terminal under different working states are summarized; finally, a performance evaluation report is generated, which not only includes the performance evaluation results, but also puts forward specific optimization suggestions to provide guidance for practical applications.

[0144] For example, suppose a low-orbit satellite system is designed to provide real-time communication support for aircraft of global airlines. First, in the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to dynamically monitor and evaluate the communication performance of ground user terminals (i.e., communication equipment on the aircraft) under different orbit parameter configurations to obtain performance evaluation results; wherein, the key indicators for evaluating communication performance include signal strength, bit error rate, data transmission rate, and delay, which are used to reflect the communication quality of ground user terminals under different orbital altitudes and the influence of solar activity cycles; secondly, based on the performance evaluation results, combined with the energy efficiency optimization method, the power consumption mode of the ground user terminal under different working states is determined, and the relationship between battery consumption and communication quality under different working states is analyzed; thirdly, based on the analysis results, the performance and power consumption mode of the ground user terminal under different working states are summarized; finally, a performance evaluation report is generated, which not only contains the performance evaluation results, but also puts forward specific optimization suggestions to ensure that airline aircraft can maintain efficient and stable communication connections worldwide, and improve flight safety and service quality.

[0145] In order to solve the problem of dynamic monitoring and evaluation of communication performance under different orbital parameter configurations in low-orbit satellite communications, in some embodiments, the adaptive performance evaluation scheme described in step 103 includes: based on the low-orbit satellite communication environment test scenario, real-time acquisition and processing of communication data of ground user terminals under different orbital parameter configurations to generate a structured communication performance data set; based on the structured communication performance data set, using an adaptive performance evaluation algorithm to automatically adjust the evaluation criteria according to different orbital altitudes and solar activity cycles, dynamically monitoring and processing key communication performance indicators at each moment in the structured communication performance data set, and generating a real-time performance evaluation record; based on the real-time performance evaluation record, combined with a multi-dimensional analysis method, identifying the difference in communication quality in the structured communication performance data set under different orbital parameter configurations, and generating a performance evaluation intermediate result; based on the performance evaluation intermediate result, performing multi-level analysis and processing to identify the optimal and suboptimal orbital parameter configurations, and generating a performance evaluation result.

[0146] In this embodiment, the structured communication performance data set is a data set generated after real-time acquisition and processing of communication data of ground user terminals under different orbital parameter configurations. These data are sorted and standardized to facilitate subsequent analysis.

[0147] Real-time performance evaluation records are detailed records generated by dynamically monitoring and processing the key communication performance indicators at each moment in the structured communication performance data set, and are used to track the real-time performance of the communication system.

[0148] The multidimensional analysis method refers to a technology that comprehensively analyzes communication performance data from multiple angles (such as time, space, environmental conditions, etc.) to identify differences in communication quality under different orbital parameter configurations.

[0149] The intermediate results of performance evaluation are preliminary evaluation conclusions generated based on real-time performance evaluation records and multi-dimensional analysis methods, which are used for further multi-level analysis.

[0150] The performance evaluation results are the final conclusions obtained after in-depth analysis and processing of the intermediate results of the performance evaluation, identifying the optimal and suboptimal orbit parameter configurations and providing guidance for practical applications.

[0151] Here is a specific example:

[0152] For example, suppose a low-orbit satellite system is designed to provide stable communication support for ships sailing at sea around the world. First, based on the low-orbit satellite communication environment test scenario, the communication data of the ground user terminal (i.e., shipborne communication equipment) under different orbital parameter configurations is collected and processed in real time to generate a structured communication performance data set; secondly, based on the structured communication performance data set, an adaptive performance evaluation algorithm is used to automatically adjust the evaluation criteria according to different orbital altitudes and solar activity cycles, and the key communication performance indicators at each moment in the structured communication performance data set are dynamically monitored and processed to generate a real-time performance evaluation record; thirdly, based on the real-time performance evaluation record, combined with a multi-dimensional analysis method, the communication quality differences in the structured communication performance data set under different orbital parameter configurations are identified to generate a performance evaluation intermediate result; finally, based on the performance evaluation intermediate result, a multi-level analysis is performed to identify the optimal and suboptimal orbital parameter configurations, and a performance evaluation result is generated to ensure that ships sailing at sea can maintain efficient and stable communication connections worldwide, thereby improving navigation safety and service quality.

[0153] In an embodiment of the present application, first, based on the low-orbit satellite communication environment test scenario, the communication data of the ground user terminal under different orbital parameter configurations is collected and processed in real time to generate a structured communication performance data set; secondly, based on the structured communication performance data set, an adaptive performance evaluation algorithm is used to automatically adjust the evaluation criteria according to different orbital altitudes and solar activity cycles, and the key communication performance indicators at each moment in the structured communication performance data set are dynamically monitored and processed to generate a real-time performance evaluation record; thirdly, based on the real-time performance evaluation record, combined with a multi-dimensional analysis method, the communication quality differences in the structured communication performance data set under different orbital parameter configurations are identified, and a performance evaluation intermediate result is generated; finally, based on the performance evaluation intermediate result, a multi-level analysis process is performed to identify the optimal and suboptimal orbital parameter configurations, generate a performance evaluation result, and ensure the optimal configuration of the communication system.

[0154] In order to solve the optimization problem of power consumption and communication quality in low-orbit satellite mobile communication systems, in some embodiments, the data integration and practical solution generation scheme described in step 104 includes: based on the performance evaluation report, the power consumption data and communication quality data collected in all test phases are systematically sorted and processed to generate a structured data set. This step ensures the integrity and consistency of the data, provides a solid foundation for subsequent data integration, and ensures the standardization and accuracy of data management; based on the structured data set, combined with the optimization suggestions put forward in the performance evaluation report, the power consumption data and communication quality data are compared and analyzed, the differences and influencing factors under different working conditions are identified, and a detailed comparative analysis report is generated; this step reveals the specific effects of the optimization suggestions by comparing and analyzing the performance under different configurations, and prepares the necessary inputs for the next step of adjustment and verification; based on the detailed comparative analysis report, an energy efficiency optimization method is used to adjust and verify the validity of the integrated data. By simulating and verifying the power consumption mode and communication quality of the user terminal, it is ensured that the optimization measures can actually improve the overall performance of the system and generate a verified optimization plan; this step not only verifies the feasibility of the optimization suggestions, but also provides a specific implementation path for subsequent practical solutions to ensure the actual effect of the optimization measures; based on the verified optimization plan, the integrated power consumption data and communication quality data are converted into practical solutions, and the overall performance and potential improvement points of the system are comprehensively considered to finally generate the low-orbit satellite mobile communication ground experiment results; this step not only summarizes the various indicators in the experiment, but also proposes specific optimization plans, providing a solid foundation for the further development of low-orbit satellite mobile communication systems.

[0155] In this embodiment, the structured data set refers to a data set generated after systematically organizing and processing the power consumption data and communication quality data collected in all test phases, which ensures the integrity and consistency of the data and provides a solid foundation for subsequent data integration.

[0156] The comparative analysis report is a document generated by performing a detailed comparative analysis of power consumption data and communication quality data under different working conditions, revealing the performance differences and influencing factors under different configurations.

[0157] The verified optimization plan refers to the optimization measures that have been confirmed to be effective through simulation verification, ensuring that these measures can improve the overall performance of the system in actual applications.

[0158] A practical solution is to convert the verified optimization plan into specific and actionable improvement measures, comprehensively consider the overall performance of the system and potential improvement points, and finally apply it to the actual system to improve its performance and reliability.

[0159] In the embodiment of the present application, firstly, based on the performance evaluation report, the power consumption data and communication quality data collected in all test phases are systematically sorted and processed to generate a structured data set. This step ensures the integrity and consistency of the data and provides a solid foundation for subsequent data integration. Secondly, based on the structured data set, combined with the optimization suggestions put forward in the performance evaluation report, the power consumption data and communication quality data are compared and analyzed to identify the differences and influencing factors under different working conditions, and generate a detailed comparative analysis report. This step reveals the specific effects of the optimization suggestions by comparing and analyzing the performance under different configurations, and prepares the necessary preparations for the next step of adjustment and verification. The integrated data is inputted as follows; secondly, based on the detailed comparative analysis report, the energy efficiency optimization method is adopted to adjust and verify the validity of the integrated data, and the power consumption mode and communication quality of the user terminal are simulated and verified to ensure that the optimization measures can actually improve the overall performance of the system, and generate a verified optimization plan; finally, based on the verified optimization plan, the integrated power consumption data and communication quality data are transformed into a practical solution, and the overall performance and potential improvement points of the system are comprehensively considered to finally generate the ground experiment results of low-orbit satellite mobile communication, which not only summarizes the various indicators in the experiment, but also proposes specific optimization plans, which provide a solid foundation for the further development of low-orbit satellite mobile communication systems.

[0160] For example, suppose a low-orbit satellite system is designed to provide reliable communication support for medical emergencies in remote areas around the world. First, based on the performance evaluation report, the power consumption data and communication quality data collected in all test phases are systematically organized and processed to generate a structured data set. This step ensures the integrity and consistency of the data and provides a solid foundation for subsequent data integration. Secondly, based on the structured data set and combined with the optimization suggestions put forward in the performance evaluation report, the power consumption data and communication quality data are compared and analyzed to identify the differences and influencing factors under different working conditions, and a detailed comparative analysis report is generated. This step reveals the specific effects of the optimization suggestions by comparing and analyzing the performance under different configurations, and prepares the necessary inputs for the next step of adjustment and verification. Thirdly, based on the detailed A comparative analysis report was conducted, and the energy efficiency optimization method was used to adjust and verify the validity of the integrated data. The power consumption mode and communication quality of the user terminal were simulated and verified to ensure that the optimization measures could actually improve the overall performance of the system and generate a verified optimization plan. Finally, based on the verified optimization plan, the integrated power consumption data and communication quality data were converted into practical solutions. The overall performance and potential improvement points of the system were comprehensively considered, and the results of the low-orbit satellite mobile communication ground experiment were finally generated. It not only summarized the various indicators in the experiment, but also proposed specific optimization plans to ensure that medical emergency teams in remote areas can maintain efficient and stable communication connections around the world, thereby improving emergency response speed and service quality.

[0161] This application takes into account that in order to solve the problem of signal transmission delay and attenuation in low-orbit satellite communications, the existing technology has the challenge of being unable to accurately predict and optimize the signal transmission path, resulting in unstable communication quality in complex environments. Therefore, the embodiment of the invention proposes this optional solution to solve the above technical problems and ensure the efficient operation of the communication system. The solution includes:

[0162] Based on the satellite motion state record, taking into account the influence of the earth's curvature and the atmospheric refraction effect, a path prediction algorithm is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, minimize the delay and attenuation in signal transmission, and generate a preliminary transmission path plan, including:

[0163] Performing high-precision time synchronization processing on the satellite motion state record, simulating atmospheric conditions at different altitudes by constructing a multi-layer atmospheric model, and evaluating the dynamic impact of altitude changes of ground user terminals on signal propagation paths, so as to generate signal transmission delay;

[0164] The signal transmission delay is calculated using the following formula:

[0165]

[0166] Where D(t) is the signal transmission delay at each moment; α is the influence coefficient of the earth curvature; β is the refraction effect coefficient of the atmosphere; d(t) is the function of the distance between the ground user terminal and the virtual satellite changing with time; γ is the signal propagation constant; δ is the angle conversion factor; θ(t) is the function of the angle between the line between the satellite and the ground user terminal and the ground plane changing with time; η is the altitude correction coefficient; ζ is the altitude influence factor; h(t) is the altitude difference between the ground user terminal and the ground;

[0167] Based on the signal transmission delay, nonlinearly combining the delay and attenuation under different transmission paths to form a comprehensive performance scoring function, and adjusting the importance of each transmission path by introducing a weight coefficient to generate a comprehensive performance evaluation value;

[0168] The comprehensive performance evaluation value is calculated using the following formula:

[0169]

[0170] Among them, P opt (t) is the comprehensive performance evaluation value of all candidate transmission paths at each moment; w i is the weight coefficient of different candidate transmission paths; D(t) is the signal transmission delay at each moment; L i (t) is the signal attenuation degree of the i-th candidate transmission path at each moment; i is the index of the candidate transmission path, from 1 to N; N is the number of candidate transmission paths; ρ is the dynamic adjustment coefficient; σ is the speed influence factor; V(t) is the movement speed of the ground user terminal;

[0171] Based on the comprehensive performance evaluation value, normalization processing is performed to ensure comparability between different transmission paths, and an optimization algorithm is used to perform sorting to determine the optimal transmission path, and a preliminary transmission path plan is generated based on the optimal transmission path.

[0172] This method aims to more accurately predict and optimize the signal transmission path in low-orbit satellite communications, taking into account the influence of factors such as the curvature of the earth, the refraction effect of the atmosphere, and the height change of ground user terminals. By introducing mathematical models and optimization algorithms, the delay and attenuation in signal transmission can be minimized, thereby improving the quality and reliability of communications.

[0173] In the signal transmission delay, the earth curvature affects Considering the influence of the earth's curvature on the signal propagation path, this sub-item uses an exponential decay function to describe the effect that gradually weakens with increasing distance; Angle influence term γ·sin(δ·θ(t)): Considering the influence of the change in the angle between the line connecting the satellite and the ground user terminal and the ground plane on the signal propagation path, this sub-item uses a sine function to describe the periodic effect of the angle change; Altitude correction term Considering the impact of the height difference of the ground user terminal relative to the ground on the signal propagation path, this sub-item uses the logistic function to describe the nonlinear impact of the height change;

[0174] Among them, the earth curvature effect coefficient α and the atmospheric refraction effect coefficient β can be obtained from literature or empirical data; the signal propagation constant γ and the angle conversion factor δ can be obtained through experimental measurement or simulation; the height correction coefficient η and the height influence factor ζ can be obtained based on historical data statistics; the distance d(t), angle θ(t) and height difference h(t) between the ground user terminal and the virtual satellite can be obtained through real-time monitoring of the satellite navigation system or sensors;

[0175] In the comprehensive performance evaluation value, the delay attenuation combination item The signal transmission delay D(t) and attenuation degree L under different candidate transmission paths are calculated. i (t) Perform nonlinear combination to form a comprehensive performance scoring function; weight normalization term The weight coefficients are standardized to ensure comparability between different transmission paths; the speed correction term ρ·(1-e -σ·V(t) ): Considering the impact of the movement speed of the ground user terminal on the signal propagation path, this sub-item uses an exponential function to describe the impact of speed changes;

[0176] Among them, the weight coefficients w of different candidate transmission paths are i It can be set according to the experience of actual application scenarios; the signal transmission delay D(t) is calculated by the first formula; the attenuation degree L i (t) can be obtained through channel model simulation or experimental measurement; the dynamic adjustment coefficient ρ and the speed influence factor σ can be obtained based on historical data statistics; the movement speed V(t) of the ground user terminal can be obtained through real-time monitoring of positioning systems such as GPS;

[0177] Assume that a low-orbit satellite system is designed to provide stable communication support for global agricultural monitoring;

[0178] Assume that the earth curvature influence coefficient α = 0.8; the atmospheric refraction effect coefficient β = 0.05; the signal propagation constant γ = 0.2; the angle conversion factor δ = 0.0174533 (i.e., each degree is converted to radians); the altitude correction factor η = 0.1; the altitude influence factor ζ = 0.001; the distance between the ground user terminal and the virtual satellite d(t) = 5000km; the angle θ(t) = 45°; the altitude difference h(t) = 10m;

[0179]

[0180] Assume that the weight coefficients of different candidate transmission paths are w1=0.6, w2=0.4; the attenuation degree of the first candidate transmission path is L1(t)=0.3dB; the attenuation degree of the second candidate transmission path is L2(t)=0.4dB; the dynamic adjustment coefficient is ρ=0.01; the speed influence factor is σ=0.001; the movement speed of the ground user terminal is V(t)=5m / s;

[0181]

[0182] Assuming that the threshold is set to 0.9, since the calculated result 0.98 is greater than the set threshold, it shows that the transmission path has high effectiveness and stability, which can ensure that the data is not affected by excessive delays and attenuation during transmission. This is because the higher comprehensive performance evaluation value reflects that the optimized transmission path can effectively guarantee the communication quality under the current environmental conditions without affecting the transmission efficiency. Through the above steps, the stability and reliability of environmental monitoring data transmission are ensured, the accuracy and timeliness of monitoring actions are improved, and the response speed and service quality of the entire environmental monitoring system are enhanced.

[0183] This application takes into account that in order to solve the problem of dynamic monitoring and evaluation of communication performance at different orbital altitudes and solar activity cycles in low-orbit satellite communications, the existing technology cannot adjust the evaluation criteria in real time to adapt to the changing communication environment, resulting in unstable communication quality in complex environments. Therefore, the embodiment of the invention proposes this optional solution to solve the above technical problems and ensure the efficient operation of the communication system. The solution includes:

[0184] Based on the structured communication performance data set, an adaptive performance evaluation algorithm is used to automatically adjust the evaluation criteria according to different orbital altitudes and solar activity cycles, and the key communication performance indicators at each moment in the structured communication performance data set are dynamically monitored and processed to generate real-time performance evaluation records, including:

[0185] Based on the structured communication performance data table, the measurement error is eliminated by filtering and denoising technology, key performance indicators are extracted, normalized, a multi-dimensional feature matrix is ​​constructed, and each indicator is integrated into an overall representation to generate a comprehensive performance indicator;

[0186] The comprehensive performance index is calculated by the following formula:

[0187]

[0188] Among them, K(t) is the comprehensive performance index at time t; μ is the performance weight coefficient; C(t) is the connection stability at time t; max(C(t)) is the maximum value of the connection stability at time t; v is the signal strength adjustment coefficient; ω is the frequency conversion factor; F(t) is the signal frequency stability at time t; ξ is the quality correction coefficient; ψ is the quality impact factor; G(t) is the signal quality index at time t;

[0189] Based on the comprehensive performance index, nonlinear transformation is performed to enhance the discrimination, environmental impact factors are introduced, the evaluation criteria are adjusted to adapt to the real-time changing communication environment, and the evaluation criteria are further optimized by combining the path reliability and delay index to generate an adaptive evaluation criteria;

[0190] The adaptive evaluation criteria are calculated using the following formula:

[0191]

[0192] Among them, A(t) is the adaptive evaluation standard at time t; χ is the comprehensive adjustment coefficient; ρ is the path weight factor; K j (t) is the comprehensive performance index of the jth path; η' is the environmental correction coefficient; φ is the environmental impact factor; I(t) is the environmental change index at time t; θ is the reliability adjustment coefficient; J j (t) is the reliability index of the jth path at time t; H j (t) is the delay index of the jth path at time t; i is the index of the candidate path, from 1 to N; N is the number of candidate paths;

[0193] Based on the adaptive evaluation criteria, all path evaluation values ​​are weighted averaged to highlight the paths with excellent performance, and cluster analysis is used to identify path groups with similar performance characteristics to generate real-time performance evaluation records.

[0194] This method aims to more accurately evaluate and optimize the performance indicators in low-orbit satellite communications. It needs to consider the impact of different orbital altitudes and solar activity cycles, and adjust the evaluation criteria in real time to adapt to the changing communication environment. By introducing mathematical models and adaptive algorithms, the distinction can be enhanced and the evaluation criteria can be optimized, thereby improving the quality and reliability of communications.

[0195] In the comprehensive performance index, the connection stability attenuation term Considering the impact of connection stability on communication performance, this sub-item uses a cubic power function to describe the impact that gradually weakens as the connection stability decreases; Signal frequency stability term v·cos(ω·F(t)): Considering the impact of signal frequency stability on communication performance, this sub-item uses a cosine function to describe the periodic impact of frequency changes; Signal quality index term ξ·exp(-ψ·G(t) 2): Considering the impact of signal quality index on communication performance, this sub-item uses an exponential decay function to describe the nonlinear impact of quality changes;

[0196] Among them, the performance weight coefficient μ, the signal strength adjustment coefficient ν, and the quality correction coefficient ξ can be set based on the experience of the actual application scenario; the connection stability C(t) and the maximum connection stability max(C(t)) can be obtained by real-time monitoring of the communication link status; the frequency conversion factor ω can be determined based on the signal spectrum characteristics; the signal frequency stability F(t) can be measured by the frequency domain analysis tool; the quality impact factor ψ can be obtained based on historical data statistics; the signal quality index G(t) can be obtained through channel model simulation or experimental measurement;

[0197] In the adaptive evaluation criteria, the path comprehensive performance item The comprehensive performance indicators of each path are transformed nonlinearly to enhance the discrimination; Environmental change index term η'·log(1+φ·I(t)): Considering the impact of environmental changes on communication performance, this sub-item uses a logarithmic function to describe the impact of environmental changes; Path reliability and delay index term The evaluation criteria are further optimized by combining path reliability and delay index;

[0198] Among them, the comprehensive adjustment coefficient χ, environmental correction coefficient η', and reliability adjustment coefficient θ can be set according to the experience of actual application scenarios; the path weight factor ρ can be set according to the importance of the path; the comprehensive performance index K j (t) is calculated by the first formula; the environmental impact factor φ can be obtained based on historical data statistics; the environmental change index I(t) can be obtained through real-time monitoring of environmental monitoring equipment; the reliability index J j (t) and the delay index H j (t) can be obtained through channel model simulation or experimental measurement;

[0199] Assume that a low-orbit satellite system is designed to provide stable communication support for global environmental monitoring; assume that the performance weight coefficient μ = 0.5; the connection stability C(t) = 0.95; the maximum connection stability max(C(t)) = 1.0; the signal strength adjustment coefficient ν = 0.3; the frequency conversion factor ω = 0.01; the signal frequency stability F(t) at time t = 0.85; the quality correction coefficient ξ = 0.2; the quality impact factor ψ = 0.05; the signal quality index G(t) at time t = 0.9;

[0200]

[0201] Assume that the comprehensive adjustment coefficient χ = ​​0.6; the path weight factor ρ = 0.1; the environmental correction coefficient η' = 0.4; the environmental impact factor φ = 0.01; the environmental change index I(t) at time t = 0.7; the reliability adjustment coefficient θ = 0.5; the reliability index J of the sth path at time t j (t) = 0.9; the delay index H of the jth path at time t j (t) = 0.2; the number of candidate paths N = 2;

[0202]

[0203] Assuming that the threshold is set to 0.8, since the calculated result 0.85 is greater than the set threshold, it shows that the transmission path has a higher adaptive evaluation standard, which can ensure the communication quality and reliability under different orbital altitudes and solar activity cycles. This is because the higher adaptive evaluation standard reflects that the optimized evaluation standard can effectively adapt to the real-time changing communication environment, while highlighting the excellent performance path. Through the above steps, the stability and reliability of environmental monitoring data transmission are ensured, the accuracy and timeliness of monitoring actions are improved, and the response speed and service quality of the entire environmental monitoring system are enhanced.

[0204] Figure 2 A schematic diagram of the structure of a low-orbit satellite mobile communication ground experimental system is provided for the embodiment of the present application, such as Figure 2 As shown, the device comprises:

[0205] Planning module 21, used to plan a diverse set of orbital parameters, comprehensively consider the impact of different orbital altitudes and solar activity cycles, and generate a virtual satellite network model;

[0206] The calculation module 22 is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point based on the virtual satellite network model and using the path prediction algorithm, and accurately adjust the signal transmission characteristics of the ground station according to the optimal transmission path through real-time channel simulation technology to generate a low-orbit satellite communication environment test scenario;

[0207] The analysis module 23 is used to evaluate the communication performance data of the ground user terminal under different orbit parameter configurations based on the low-orbit satellite communication environment test scenario by using an adaptive performance evaluation algorithm to obtain a performance evaluation result, and based on the performance evaluation result, combined with an energy efficiency optimization method, determine the power consumption mode of the ground user terminal to analyze the relationship between the battery consumption and the communication quality of the ground user terminal under different working conditions, and generate a performance evaluation report;

[0208] The conversion module 24 is used to integrate the power consumption data and communication quality data collected in the performance evaluation phase, and adjust and verify the integrated data through the optimization suggestions proposed in the performance evaluation report, so as to convert the integrated data into practical solutions and generate low-orbit satellite mobile communication ground experimental results.

[0209] Figure 2 The low-orbit satellite mobile communication ground experimental system can be executed Figure 1 The implementation principle and technical effect of the low-orbit satellite mobile communication ground experiment method described in the embodiment are not repeated here. The specific way in which each module and unit performs operations in the low-orbit satellite mobile communication ground experiment system in the above embodiment has been described in detail in the embodiment of the method, and will not be explained in detail here.

[0210] In one possible design, Figure 2 A low-orbit satellite mobile communication ground experiment system of the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32;

[0211] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0212] The processing component 32 is used to: plan a variety of orbital parameter sets according to the influence of different orbital altitudes and solar activity cycles, and simulate the layout of virtual satellites according to the orbital parameter sets to generate a virtual satellite network model, wherein the virtual satellite network model is used to predict the position distribution of virtual satellites at different time points and their connection methods with ground user terminals; based on the virtual satellite network model, use a path prediction algorithm to calculate the optimal transmission path between the ground user terminal and the virtual satellite at each time point; based on the optimal transmission path, use real-time channel simulation technology to accurately adjust the transmission signal characteristics of the ground station to generate a low-orbit satellite communication environment test scenario, wherein the ground station is used to forward information to the ground user terminal through the virtual satellite; based on the In the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to evaluate the communication performance data of the ground user terminal under different orbital parameter configurations to obtain performance evaluation results. Based on the performance evaluation results, combined with the energy efficiency optimization method, the power consumption mode of the ground user terminal is determined to analyze the relationship between the battery consumption and the communication quality of the ground user terminal under different working conditions, and a performance evaluation report is generated. The power consumption mode refers to the way and rate at which the ground user terminal consumes electricity under different working conditions. The power consumption data and communication quality data collected in the performance evaluation phase are integrated, and the integrated data is adjusted and verified through the optimization suggestions proposed in the performance evaluation report to convert the integrated data into practical solutions and generate ground experimental results for low-orbit satellite mobile communications.

[0213] The processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

[0214] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0215] Of course, the computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0216] The input / output interface provides an interface between the processing component and the peripheral interface module, which may be an output device, an input device, etc.

[0217] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0218] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0219] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 A ground experimental method for low-orbit satellite mobile communications according to the embodiment shown.

[0220] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0221] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0222] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0223] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A ground experiment method for low-orbit satellite mobile communication, characterized in that: include: According to the influence of different orbital altitudes and solar activity cycles, a variety of orbital parameter sets are planned, and the layout of virtual satellites is simulated according to the orbital parameter sets to generate a virtual satellite network model, which is used to predict the location distribution of virtual satellites at different time points and their connection methods with ground user terminals; Based on the virtual satellite network model, a path prediction algorithm is used to calculate the optimal transmission path between the ground user terminal and the virtual satellite at each time point, and according to the optimal transmission path, the transmission signal characteristics of the ground station are accurately adjusted by real-time channel simulation technology to generate a low-orbit satellite communication environment test scenario, and the ground station is used to forward information to the ground user terminal through the virtual satellite; Based on the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to evaluate the communication performance data of the ground user terminal under different orbit parameter configurations to obtain a performance evaluation result, and based on the performance evaluation result, combined with an energy efficiency optimization method, a power consumption mode of the ground user terminal is determined to analyze the relationship between the battery consumption and the communication quality of the ground user terminal under different working conditions, and a performance evaluation report is generated, wherein the power consumption mode refers to the way and rate at which the ground user terminal consumes power under different working conditions; Integrate the power consumption data and communication quality data collected during the performance evaluation phase, and adjust and verify the integrated data through the optimization suggestions proposed in the performance evaluation report to transform the integrated data into practical solutions and generate ground experiment results for low-orbit satellite mobile communications.

2. The method according to claim 1, characterized in that: Based on the virtual satellite network model, a path prediction algorithm is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, and according to the optimal transmission path, the transmission signal characteristics of the ground station are accurately adjusted through real-time channel simulation technology to generate a low-orbit satellite communication environment test scenario, including: Based on the virtual satellite network model, the position and velocity vector of the virtual satellite at each time point are calculated and processed to generate a dynamic satellite orbit information library; Based on the dynamic satellite orbit information database, taking into account the curvature of the earth and the refraction effect of the atmosphere, a path prediction algorithm is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, so as to minimize the delay and attenuation in signal transmission and generate an optimized transmission path solution; Based on the optimized transmission path scheme, real-time channel simulation technology is used to accurately adjust the characteristics of the ground station transmission signal, and the influence of different weather conditions and multipath effects is simulated to generate signal characteristic parameter processing results; Based on the signal characteristic parameter processing results, the actual communication performance data is compared with the expected results, the simulation parameters are optimized, and a low-orbit satellite communication environment test scenario is generated.

3. The method according to claim 2, characterized in that The method of calculating the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point based on the dynamic satellite orbit information database, taking into account the curvature of the earth and the refraction effect of the atmosphere, and applying a path prediction algorithm to minimize the delay and attenuation in signal transmission, and generating an optimized transmission path solution, includes: Based on the dynamic satellite orbit information library, simulating the motion state of the virtual satellite at different time points to generate a satellite motion state record; Based on the satellite motion state record, taking into account the influence of the earth's curvature and the atmospheric refraction effect, a path prediction algorithm is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, so as to minimize the delay and attenuation in signal transmission and generate a preliminary transmission path plan; Based on the preliminary transmission path plan, the performance under different transmission paths is evaluated and compared, the transmission path parameters are optimized, and the optimized transmission path plan is generated by combining the transmission effects under different conditions.

4. The method according to claim 2, characterized in that: Based on the optimized transmission path scheme, the real-time channel simulation technology is used to accurately adjust the transmission signal characteristics of the ground station, and the influence of different weather conditions and multipath effects is simulated to generate signal characteristic parameter processing results, including: Based on the optimized transmission path scheme, the transmission signal characteristics of the ground station are analyzed in detail, the signal strength and phase changes are evaluated, and a signal characteristic parameter set is generated; Based on the signal characteristic parameter set, real-time channel simulation technology is used to simulate the influence of different weather conditions and multipath effects, and the transmission signal characteristics of the ground station are accurately adjusted and processed to generate signal characteristic simulation results; Based on the signal characteristic simulation results, a comprehensive evaluation process is performed on the communication performance in each simulation scenario to generate a simulation scenario communication performance evaluation result; Based on the communication performance evaluation results of the simulation scenario, the transmission power and coding strategy are adjusted to generate signal characteristic parameter processing results.

5. The method according to claim 1, characterized in that Based on the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to evaluate the communication performance data of the ground user terminal under different orbit parameter configurations to obtain a performance evaluation result, and based on the performance evaluation result, combined with an energy efficiency optimization method, the power consumption mode of the ground user terminal is determined to analyze the relationship between the battery consumption and the communication quality of the ground user terminal under different working conditions, and a performance evaluation report is generated, including: In the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to dynamically monitor and evaluate the communication performance of the ground user terminal under different orbit parameter configurations to obtain a performance evaluation result; wherein the key indicators for evaluating communication performance include signal strength, bit error rate, data transmission rate, and delay, and the key indicators are used to reflect the communication quality of the ground user terminal under the influence of different orbital altitudes and solar activity cycles; Based on the performance evaluation results, combined with the energy efficiency optimization method, the power consumption mode of the ground user terminal under different working conditions is determined, and the relationship between battery consumption and communication quality under different working conditions is analyzed; according to the analysis results, the performance and power consumption mode of the ground user terminal under different working conditions are summarized to generate a performance evaluation report, which includes the performance evaluation results and optimization suggestions.

6. The method according to claim 5, characterized in that In the low-orbit satellite communication environment test scenario, an adaptive performance evaluation algorithm is used to dynamically monitor and evaluate the communication performance of the ground user terminal under different orbit parameter configurations to obtain performance evaluation results, including: Based on the low-orbit satellite communication environment test scenario, the communication data of the ground user terminal under different orbit parameter configurations is collected and processed in real time to generate a structured communication performance data set; Based on the structured communication performance data set, an adaptive performance evaluation algorithm is used to automatically adjust the evaluation criteria according to different orbital altitudes and solar activity cycles, and the key communication performance indicators at each moment in the structured communication performance data set are dynamically monitored and processed to generate real-time performance evaluation records; Based on the real-time performance evaluation records, combined with a multi-dimensional analysis method, the communication quality differences in the structured communication performance data set under different track parameter configurations are identified, and an intermediate performance evaluation result is generated; Based on the intermediate results of the performance evaluation, multi-level analysis and processing are performed to identify optimal and suboptimal orbit parameter configurations and generate performance evaluation results.

7. The method according to claim 1, characterized in that The power consumption data and communication quality data collected in the integration performance evaluation phase are adjusted and verified through the optimization suggestions proposed in the performance evaluation report to transform the integrated data into practical solutions and generate low-orbit satellite mobile communication ground experiment results, including: Based on the performance evaluation report, the power consumption data and communication quality data collected in all test phases are systematically collated and processed to generate a structured data set. This step ensures the integrity and consistency of the data, provides a solid foundation for subsequent data integration, and ensures the standardization and accuracy of data management; Based on the structured data set and in combination with the optimization suggestions put forward in the performance evaluation report, the power consumption data and communication quality data are compared and analyzed, the differences and influencing factors under different working conditions are identified, and a detailed comparative analysis report is generated; this step reveals the specific effects of the optimization suggestions by comparing and analyzing the performance under different configurations, and prepares the necessary inputs for the next step of adjustment and verification; Based on the detailed comparative analysis report, the energy efficiency optimization method is used to adjust and verify the validity of the integrated data. By simulating and verifying the power consumption mode and communication quality of the user terminal, it is ensured that the optimization measures can actually improve the overall performance of the system and generate a verified optimization plan; this step not only verifies the feasibility of the optimization suggestions, but also provides a specific implementation path for subsequent practical solutions to ensure the actual effect of the optimization measures; Based on the verified optimization scheme, the integrated power consumption data and communication quality data are transformed into practical solutions, and the overall performance of the system and potential improvement points are comprehensively considered to finally generate the low-orbit satellite mobile communication ground experiment results; this step not only summarizes the various indicators in the experiment, but also proposes specific optimization schemes, which provides a solid foundation for the further development of low-orbit satellite mobile communication systems. A. The method according to claim 3 is characterized in that, based on the satellite motion state record, the influence of the earth's curvature and the atmospheric refraction effect is comprehensively considered, and a path prediction algorithm is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point, minimize the delay and attenuation in signal transmission, and generate a preliminary transmission path plan, including: Performing high-precision time synchronization processing on the satellite motion state record, simulating atmospheric conditions at different altitudes by constructing a multi-layer atmospheric model, and evaluating the dynamic impact of altitude changes of ground user terminals on signal propagation paths, so as to generate signal transmission delay; The signal transmission delay is calculated using the following formula: Where D(t) is the signal transmission delay at each moment; α is the influence coefficient of the earth curvature; β is the refraction effect coefficient of the atmosphere; d(t) is the function of the distance between the ground user terminal and the virtual satellite changing with time; γ is the signal propagation constant; δ is the angle conversion factor; θ(t) is the function of the angle between the line between the satellite and the ground user terminal and the ground plane changing with time; η is the altitude correction coefficient; ζ is the altitude influence factor; h(t) is the altitude difference between the ground user terminal and the ground; Based on the signal transmission delay, nonlinearly combining the delay and attenuation under different transmission paths to form a comprehensive performance scoring function, and adjusting the importance of each transmission path by introducing a weight coefficient to generate a comprehensive performance evaluation value; The comprehensive performance evaluation value is calculated using the following formula: Among them, P opt (t) is the comprehensive performance evaluation value of all candidate transmission paths at each moment; w i is the weight coefficient of different candidate transmission paths; D(t) is the signal transmission delay at each moment; L i (t) is the signal attenuation degree of the i-th candidate transmission path at each moment; i is the index of the candidate transmission path, from 1 to N; N is the number of candidate transmission paths; ρ is the dynamic adjustment coefficient; σ is the speed influence factor; V(t) is the movement speed of the ground user terminal; Based on the comprehensive performance evaluation value, normalization processing is performed to ensure comparability between different transmission paths, and an optimization algorithm is used to perform sorting to determine the optimal transmission path, and a preliminary transmission path plan is generated based on the optimal transmission path. B. The method according to claim 6 is characterized in that, based on the structured communication performance data set, an adaptive performance evaluation algorithm is used to automatically adjust the evaluation criteria according to different orbital altitudes and solar activity cycles, and the key communication performance indicators at each moment in the structured communication performance data set are dynamically monitored and processed to generate real-time performance evaluation records, including: Based on the structured communication performance data table, the measurement error is eliminated by filtering and denoising technology, key performance indicators are extracted, normalized, a multi-dimensional feature matrix is ​​constructed, and each indicator is integrated into an overall representation to generate a comprehensive performance indicator; The comprehensive performance index is calculated by the following formula: Where K(t) is the comprehensive performance index at time t; μ is the performance weight coefficient; C(t) is the connection stability at time t; max(C(t)) is the maximum value of the connection stability at time t; v is the signal strength adjustment coefficient; ω is the frequency conversion factor; F(t) is the signal frequency stability at time t; ξ is the quality correction coefficient; ψ is the quality impact factor; G(t) is the signal quality index at time t; Based on the comprehensive performance index, nonlinear transformation is performed to enhance the discrimination, environmental impact factors are introduced, the evaluation criteria are adjusted to adapt to the real-time changing communication environment, and the evaluation criteria are further optimized by combining the path reliability and delay index to generate an adaptive evaluation criteria; The adaptive evaluation criteria are calculated using the following formula: Among them, A(t) is the adaptive evaluation standard at time t; X is the comprehensive adjustment coefficient; ρ is the path weight factor; K j (t) is the comprehensive performance index of the jth path; η' is the environmental correction coefficient; φ is the environmental impact factor; I(t) is the environmental change index at time t; θ is the reliability adjustment coefficient; J j (t) is the reliability index of the jth path at time t; H j (t) is the delay index of the jth path at time t; i is the index of the candidate path, from 1 to N; N is the number of candidate paths; Based on the adaptive evaluation criteria, all path evaluation values ​​are weighted averaged to highlight the paths with excellent performance, and cluster analysis is used to identify path groups with similar performance characteristics to generate real-time performance evaluation records.

8. A low-orbit satellite mobile communication ground experimental system, characterized in that: include: The planning module is used to plan a diverse set of orbital parameters, comprehensively consider the impact of different orbital altitudes and solar activity cycles, and generate a virtual satellite network model; A calculation module is used to calculate the optimal transmission path between the user terminal ground user terminal and the virtual satellite at each time point based on the virtual satellite network model and using a path prediction algorithm, and to accurately adjust the signal transmission characteristics of the ground station according to the optimal transmission path through real-time channel simulation technology to generate a low-orbit satellite communication environment test scenario; An analysis module is used to evaluate the communication performance data of the ground user terminal under different orbit parameter configurations using an adaptive performance evaluation algorithm based on the low-orbit satellite communication environment test scenario to obtain a performance evaluation result, and based on the performance evaluation result, combined with an energy efficiency optimization method, determine the power consumption mode of the ground user terminal to analyze the relationship between the battery consumption and the communication quality of the ground user terminal under different working conditions, and generate a performance evaluation report; The conversion module is used to integrate the power consumption data and communication quality data collected in the performance evaluation phase, and adjust and verify the integrated data through the optimization suggestions proposed in the performance evaluation report to convert the integrated data into practical solutions and generate low-orbit satellite mobile communication ground experiment results.

9. A computing device, characterized in that It comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a low-orbit satellite mobile communication ground experimental method as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a computer, a low-orbit satellite mobile communication ground experimental method as described in any one of claims 1 to 7 is implemented.

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