Satellite communication power dynamic adjustment method and system

Abstract

The application discloses a satellite communication power dynamic adjustment method and system, which comprises the following steps: acquiring and analyzing signal monitoring data of satellite communication to determine key signal parameters affecting signal quality; analyzing data of the key signal parameters to determine data characteristics, and evaluating signal quality of the key signal parameters to obtain a signal quality evaluation value; calculating a communication quality evaluation value of the satellite based on the signal quality evaluation values of the key signal parameters; determining a communication quality requirement value of the satellite, and determining a communication quality difference value between the communication quality requirement value and the communication quality evaluation value; determining an adjustment coefficient of real-time communication power of the satellite based on the communication quality difference value, and dynamically adjusting the real-time communication power of the satellite. The application accurately quantifies satellite communication quality by analyzing satellite communication data, and dynamically adjusts satellite communication power by determining an adjustment coefficient through difference analysis, so that fine and progressive power control is realized.

Description

Technical Field

[0001] This invention relates to the field of satellite communication technology, and in particular to a method and system for dynamically adjusting satellite communication power. Background Technology

[0002] With the acceleration of global digitalization, satellite communication is playing an increasingly prominent role in key areas such as long-distance broadband access, the Internet of Things, emergency communication, and maritime and aviation connectivity. However, satellite communication links have long faced a series of inherent challenges: signal transmission is susceptible to factors such as weather (such as rain and snow), geographical environment (such as obstruction and changes in elevation angle), and equipment mobility, leading to decreased signal strength and signal-to-noise ratio at the receiving end, which in turn causes communication interruptions and increased bit error rates.

[0003] Traditional power control often employs fixed transmit power with added static margin or step adjustment based on simple threshold triggering, which has significant drawbacks such as response lag, coarse adjustment, and power waste, making it difficult to achieve the optimal balance between communication quality, energy consumption, and interference suppression in complex dynamic environments. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method and system for dynamically adjusting satellite communication power, comprising:

[0005] Acquire signal monitoring data for satellite communication, analyze the signal monitoring data, and determine the key signal parameters that affect signal quality;

[0006] Feature analysis is performed on the data of key signal parameters to determine data characteristics, and the signal quality of key signal parameters is evaluated based on the data characteristics to obtain signal quality evaluation values;

[0007] Based on the signal quality assessment values ​​of each key signal parameter, a comprehensive analysis and calculation are performed to determine the satellite's communication quality assessment value.

[0008] Determine the required communication quality values ​​for the satellite, and conduct a difference analysis between the required communication quality values ​​and the assessed communication quality values ​​to determine the communication quality difference values;

[0009] The adjustment coefficient for the satellite's real-time communication power is determined based on the communication quality difference value, and the satellite's real-time communication power is dynamically adjusted based on the adjustment coefficient.

[0010] Furthermore, the acquisition of satellite communication signal monitoring data and the analysis of the signal monitoring data to determine key signal parameters affecting signal quality include:

[0011] Acquire signal monitoring data from satellite communications and divide the signal monitoring data into multiple signal parameter data groups according to parameter type;

[0012] Determine the bit error rate monitoring data during satellite communication and calculate the correlation between each signal parameter data set and the bit error rate monitoring data;

[0013] The signal parameter data groups with a correlation higher than a preset threshold are filtered out, and the parameter types corresponding to the filtered signal parameter data groups are determined as the operating parameters that affect signal quality.

[0014] Furthermore, the step of performing feature analysis on the data of key signal parameters to determine data features, and evaluating the signal quality of key signal parameters based on these data features to obtain a signal quality evaluation value, includes:

[0015] Identify the signal parameter data set corresponding to the key signal parameters and calculate the average value of the signal parameter data set;

[0016] The minimum and target values ​​of the key signal parameters are determined in advance, and the signal quality value is calculated based on the average, minimum and target values ​​of the key signal parameters.

[0017] The signal quality values ​​are evaluated and obtained to obtain the signal quality evaluation values ​​of key signal parameters.

[0018] Furthermore, the formula for calculating the signal quality value is as follows:

[0019] Z = (SM) / (TM)

[0020] Where Z is the signal quality value, S is the average value of the key signal parameter, M is the minimum value of the key signal parameter, and T is the target value of the key signal parameter.

[0021] Furthermore, the signal quality assessment values ​​based on each key signal parameter are comprehensively analyzed and calculated to determine the satellite's communication quality assessment value, including:

[0022] Determine the correlation between the signal parameter data sets corresponding to each key signal parameter and the bit error rate monitoring data, and normalize the correlation to obtain the weight of each key signal parameter;

[0023] The satellite's communication quality assessment value is obtained by weighting and summing the weights of each key signal parameter and the signal quality assessment value.

[0024] Furthermore, the process of determining the satellite's communication quality requirements and performing a difference analysis between the communication quality requirements and the communication quality assessment values ​​to determine the communication quality difference values ​​includes:

[0025] Determine the required communication quality value for the satellite and calculate the difference between the required communication quality value and the assessed communication quality value to obtain the communication quality difference value between the required communication quality value and the assessed communication quality value.

[0026] Furthermore, the step of determining the adjustment coefficient for the satellite's real-time communication power based on the communication quality difference value, and dynamically adjusting the satellite's real-time communication power based on the adjustment coefficient, includes:

[0027] The proportional coefficient is determined based on the communication quality difference value, and the adjustment coefficient of the satellite real-time communication power is obtained by calculation based on the proportional coefficient and the communication quality difference value.

[0028] The satellite's current real-time communication power is obtained, and the control adjustment coefficient is multiplied by the real-time communication power to calculate the satellite's optimized real-time communication power, so as to dynamically adjust the satellite's real-time communication power.

[0029] Furthermore, determining the proportional coefficient based on the communication quality difference value includes:

[0030] A preset proportional coefficient-communication quality difference value range correspondence is set in advance. For each communication quality difference value range, a corresponding preset proportional coefficient is associated with it.

[0031] Determine the communication quality difference value, and based on the mapping relationship between the communication quality difference value interval to which the communication quality difference value belongs and the corresponding relationship between the preset proportional coefficient and the communication quality difference value interval, select the preset proportional coefficient corresponding to the communication quality difference value interval as the corresponding proportional coefficient.

[0032] Furthermore, the formula for calculating the adjustment coefficient is as follows:

[0033] k = 1 + f * ΔQ,

[0034] Where k is the adjustment coefficient, f is the proportional coefficient, and ΔQ is the communication quality difference value.

[0035] The present invention also provides a satellite communication power dynamic adjustment system, comprising:

[0036] The acquisition module is used to acquire signal monitoring data of satellite communication, analyze the signal monitoring data, and determine the key signal parameters that affect signal quality.

[0037] The evaluation module is used to perform feature analysis on the data of key signal parameters, determine the data features, and evaluate the signal quality of the key signal parameters based on the data features to obtain the signal quality evaluation value.

[0038] The calculation module is used to perform comprehensive analysis and calculation based on the signal quality assessment values ​​of each key signal parameter to determine the satellite's communication quality assessment value;

[0039] The analysis module is used to determine the communication quality requirements of the satellite, and to perform a difference analysis between the communication quality requirements and the communication quality assessment values ​​to determine the communication quality difference values.

[0040] The adjustment module is used to determine the adjustment coefficient of the satellite's real-time communication power based on the communication quality difference value, and to dynamically adjust the satellite's real-time communication power based on the adjustment coefficient.

[0041] Compared with existing technologies, the satellite communication power dynamic adjustment method and system of this invention have the following advantages:

[0042] This invention achieves a comprehensive digital characterization of communication link quality through multi-dimensional signal monitoring data. It not only identifies traditional key parameters but also discovers hidden influencing factors through data correlation analysis. Based on the quality assessment method of data characteristics, it transforms abstract physical parameters into normalized quality assessment values, realizing accurate quantitative diagnosis of link status and laying the foundation for precise control.

[0043] Unlike traditional fixed margin or threshold triggering mechanisms, this invention achieves refined and progressive power control through difference-driven adjustment coefficient calculation. It can dynamically maintain the transmission power at the theoretically optimal level while ensuring communication quality, significantly reducing power waste. Attached Figure Description

[0044] Figure 1 This is a schematic diagram of the flow structure of the satellite communication power dynamic adjustment method in an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of the composition of the satellite communication power dynamic adjustment system in an embodiment of the present invention. Detailed Implementation

[0046] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0047] In the description of this application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0048] like Figure 1As shown in the embodiments of this application, a method for dynamically adjusting satellite communication power is provided, comprising: S100: acquiring signal monitoring data of satellite communication, analyzing the signal monitoring data, and determining key signal parameters affecting signal quality; S200: performing feature analysis on the data of key signal parameters, determining data features, and evaluating the signal quality of key signal parameters based on the data features to obtain a signal quality evaluation value; S300: performing comprehensive analysis and calculation based on the signal quality evaluation values ​​of each key signal parameter to determine the satellite's communication quality evaluation value; S400: determining the satellite's communication quality requirement value, and performing difference analysis between the communication quality requirement value and the communication quality evaluation value to determine the communication quality difference value; S500: determining the adjustment coefficient of the satellite's real-time communication power based on the communication quality difference value, and dynamically adjusting the satellite's real-time communication power based on the adjustment coefficient.

[0049] Furthermore, this invention achieves a comprehensive digital characterization of communication link quality through multi-dimensional signal monitoring data. It not only identifies traditional key parameters but also discovers hidden influencing factors through data correlation analysis. Based on a quality assessment method using data characteristics, it transforms abstract physical parameters into normalized quality assessment values, enabling precise quantitative diagnosis of link status and laying the foundation for accurate control. Unlike traditional fixed margin or threshold triggering mechanisms, this invention achieves refined and gradual power control through difference-driven adjustment coefficient calculation. It can dynamically maintain the transmit power at the theoretically optimal level while ensuring communication quality, significantly reducing power waste.

[0050] In an embodiment of this application, a method for dynamically adjusting satellite communication power is provided. The step of acquiring signal monitoring data of satellite communication and analyzing the signal monitoring data to determine key signal parameters affecting signal quality includes: acquiring signal monitoring data of satellite communication and dividing the signal monitoring data into multiple signal parameter data groups according to parameter type; determining bit error rate monitoring data during satellite communication and calculating the correlation between each signal parameter data group and the bit error rate monitoring data; filtering out signal parameter data groups with a correlation higher than a preset threshold, and determining the parameter type corresponding to the filtered signal parameter data group as the operating parameter affecting signal quality.

[0051] Specifically, the process involves collecting multi-dimensional signal monitoring data during satellite communication and dividing it into different signal parameter data groups based on parameter properties. The bit error rate (BER), reflecting communication reliability, is identified as the core performance indicator. Statistical analysis is used to quantitatively calculate the correlation between each group of parameter data and the BER monitoring data. Based on a preset correlation threshold, parameter groups with significant statistical correlations to the BER are precisely identified as key operational parameters affecting signal quality. This step automates and data-drivenly locates key degradation sources from massive amounts of monitoring data, overcoming the subjectivity and lag of traditional parameter selection relying on expert experience. Quantitative correlation analysis establishes a causal mapping between parameters and system performance, significantly improving the efficiency and accuracy of fault diagnosis and root cause analysis of performance degradation. It also provides a precise set of target variables for subsequent steps, thereby enhancing the scientific rigor and timeliness of adaptive management of the satellite communication system.

[0052] In an embodiment of this application, a method for dynamically adjusting satellite communication power is provided. The method involves performing feature analysis on the data of key signal parameters to determine data features, and evaluating the signal quality of the key signal parameters based on the data features to obtain a signal quality evaluation value. This includes: determining the signal parameter data group corresponding to the key signal parameter and calculating the average value of the signal parameter data group; determining the preset minimum and target values ​​of the key signal parameters, and calculating the signal quality value based on the average, minimum, and target values ​​of the key signal parameters; and evaluating the signal quality value to obtain the signal quality evaluation value of the key signal parameter.

[0053] Specifically, for each key parameter, its corresponding time-series data set is extracted, and the sliding average value of the data set within a specific time window is calculated. Two pre-configured benchmark values ​​for the parameter are called: the minimum value (i.e., the performance lower limit for maintaining basic communication) and the target value (i.e., the optimal operating point that the system expects to achieve). The calculated average value is then used to calculate a raw signal quality value with these two benchmark values. This quality value is further evaluated and processed to generate a key signal parameter quality evaluation value that can be used for subsequent comprehensive calculations. This step introduces two engineering benchmarks: the minimum value and the target value. This model not only quantifies the distance of the current parameter state relative to the two boundaries of "failure" and "ideal," giving the evaluation results clear physical meaning and engineering guidance, but also effectively filters random noise and transient interference through moving averages and evaluation value processing, ensuring the stability and reliability of the evaluation results. The final standardized evaluation value provides a consistent, comparable, and disturbance-resistant quantitative input for subsequent steps to integrate multiple parameters for overall communication quality assessment and to make precise power adjustments based on differences. It is a key data preprocessing step in the entire adaptive power control closed loop to achieve intelligent decision-making and fine-grained regulation.

[0054] In an embodiment of this application, a method for dynamically adjusting satellite communication power is provided, wherein the formula for calculating the signal quality value is:

[0055] Z = (SM) / (TM)

[0056] Where Z is the signal quality value, S is the average value of the key signal parameter, M is the minimum value of the key signal parameter, and T is the target value of the key signal parameter.

[0057] In an embodiment of this application, a method for dynamically adjusting satellite communication power is provided. The method involves comprehensively analyzing and calculating the signal quality assessment values ​​of each key signal parameter to determine the satellite's communication quality assessment value. This includes: determining the correlation between the signal parameter data set corresponding to each key signal parameter and the bit error rate monitoring data, and normalizing the correlation to obtain the weight of each key signal parameter; and performing a weighted summation calculation based on the weight of each key signal parameter and the signal quality assessment value to obtain the satellite's communication quality assessment value.

[0058] Specifically, this process involves quantitatively analyzing the statistical correlation between historical data sets and core performance indicators, including bit error rate, for each key signal parameter. The correlation of all parameters is then normalized (e.g., the sum of all parameter weights is set to 1), transforming the statistical correlation into scientific weighting coefficients suitable for weighted calculations. Using the normalized weights of each parameter as multipliers, the corresponding signal quality assessment values ​​are weighted and summed to calculate a single, comprehensive satellite communication quality assessment value. This step overcomes the subjectivity and static nature of traditional expert-based weighting methods. Through data correlation analysis, the weight allocation accurately reflects the contribution and sensitivity of different parameters to system performance in actual operation. For example, in clear weather, modulation accuracy (EVM) may have a higher weight; while in rain-induced attenuation scenarios, the correlation and weight of carrier-to-noise ratio (C / N0) automatically become prominent. This ensures that the comprehensive assessment results always accurately target the most critical performance bottleneck. This step provides a solid and reliable data fusion foundation for subsequent accurate calculation of quality differences and triggering appropriate power adjustments, significantly improving the overall decision-making intelligence and response accuracy of the adaptive control system.

[0059] In an embodiment of this application, a method for dynamically adjusting satellite communication power is provided. The method for determining the communication quality requirement value of the satellite and performing a difference analysis on the communication quality requirement value and the communication quality assessment value to determine the communication quality difference value includes: determining the communication quality requirement value of the satellite and calculating the difference between the communication quality requirement value and the communication quality assessment value to obtain the communication quality difference value between the communication quality requirement value and the communication quality assessment value.

[0060] In an embodiment of this application, a method for dynamically adjusting satellite communication power is provided. The method involves determining an adjustment coefficient for the real-time communication power of the satellite based on a communication quality difference value, and dynamically adjusting the real-time communication power of the satellite based on the adjustment coefficient. The method includes: determining a proportional coefficient based on the communication quality difference value, and calculating the adjustment coefficient for the real-time communication power of the satellite based on the proportional coefficient and the communication quality difference value; obtaining the current real-time communication power of the satellite, and multiplying the adjustment coefficient by the real-time communication power to obtain the optimized real-time communication power of the satellite, thereby dynamically adjusting the real-time communication power of the satellite.

[0061] Specifically, based on the dynamic range of communication quality difference and system response characteristics, a proportional coefficient is determined, which determines the response strength and sensitivity of the control loop. Subsequently, a power adjustment coefficient is calculated, which represents the required power adjustment range in the form of a linear multiple. The current real-time communication power of the satellite is obtained, and the adjustment coefficient is multiplied by it to obtain the optimized real-time communication power command, which is then issued for execution. This step represents a crucial leap from "perception and analysis" to "precise execution" in closed-loop control. By introducing a proportional gain, abstract quality differences are mapped to specific physical power adjustments, forming a complete "perception-decision-execution" closed loop. Its core advantages are threefold: First, rapid convergence—proportional control applies corrections proportionally to the magnitude of quality deviations, enabling the system to quickly approach the target operating point. Second, stability assurance—by setting a reasonable proportional gain, drastic power oscillations or over-adjustments can be avoided, ensuring a smooth link transition. Third, resource optimization—the system can compensate for channel degradation with minimal necessary power adjustments, ensuring service quality while maximizing the conservation of valuable onboard energy resources and reducing interference to other links. This dynamic adjustment mechanism ultimately endows the satellite communication system with intelligent adjustment capabilities similar to an "autonomic nervous system," significantly improving link reliability and overall system operating efficiency in complex environments.

[0062] In an embodiment of this application, a method for dynamically adjusting satellite communication power is provided. The step of determining a proportional coefficient based on communication quality difference values ​​includes: pre-setting a preset proportional coefficient-communication quality difference value interval correspondence relationship, wherein the preset proportional coefficient-communication quality difference value interval correspondence relationship is associated with a corresponding preset proportional coefficient for each communication quality difference value interval; determining the communication quality difference value, and selecting the preset proportional coefficient corresponding to the communication quality difference value interval as the corresponding proportional coefficient based on the mapping relationship of the communication quality difference value interval to which the communication quality difference value belongs within the preset proportional coefficient-communication quality difference value interval correspondence relationship.

[0063] Specifically, based on engineering experience and simulation analysis, a refined correspondence table is established in advance to divide continuous communication quality difference values ​​into multiple intervals with clear physical meaning, and an optimized preset proportional coefficient is configured for each interval. During real-time control, the current communication quality difference value is determined, and then the difference interval to which it belongs is determined. Based on the preset mapping relationship, the proportional coefficient corresponding to the interval is automatically selected as the actual proportional coefficient used in the current control cycle. This step overcomes the limitations of the traditional fixed proportional coefficient "one-size-fits-all" approach, enabling the control system to intelligently adjust its response intensity according to the severity of quality degradation. When the quality deviates slightly from the target, the system uses a smaller proportional coefficient for gentle and precise power fine-tuning, avoiding power oscillations or interference with adjacent channels due to overreaction. When the quality deteriorates severely, the system quickly switches to a larger proportional coefficient to implement rapid and powerful power compensation, ensuring that the link can be pulled back to a stable state in time during deep fading. This step not only ensures control stability and energy saving under normal operating conditions but also enhances the rapid recovery capability and robustness under adverse channel conditions, thus enabling the entire satellite communication system to exhibit superior adaptability and overall control quality when facing complex and ever-changing propagation environments.

[0064] In an embodiment of this application, a method for dynamically adjusting satellite communication power is provided, wherein the formula for calculating the adjustment coefficient is:

[0065] k = 1 + f * ΔQ,

[0066] Where k is the adjustment coefficient, f is the proportional coefficient, and ΔQ is the communication quality difference value.

[0067] like Figure 2 As shown in the embodiments of this application, a satellite communication power dynamic adjustment system is provided, comprising: an acquisition module for acquiring signal monitoring data of satellite communication, analyzing the signal monitoring data, and determining key signal parameters affecting signal quality; an evaluation module for performing feature analysis on the data of key signal parameters, determining data features, and evaluating the signal quality of key signal parameters based on the data features to obtain a signal quality evaluation value; a calculation module for performing comprehensive analysis and calculation based on the signal quality evaluation values ​​of each key signal parameter to determine the satellite's communication quality evaluation value; an analysis module for determining the satellite's communication quality requirement value, performing difference analysis on the communication quality requirement value and the communication quality evaluation value to determine the communication quality difference value; and an adjustment module for determining the adjustment coefficient of the satellite's real-time communication power based on the communication quality difference value, and dynamically adjusting the satellite's real-time communication power based on the adjustment coefficient.

[0068] In summary, this invention provides a method and system for dynamically adjusting satellite communication power, comprising: acquiring and analyzing signal monitoring data of satellite communication to determine key signal parameters affecting signal quality; analyzing the data of key signal parameters to determine data characteristics, and evaluating the signal quality of key signal parameters based on these characteristics to obtain signal quality evaluation values; calculating the satellite's communication quality evaluation value based on the signal quality evaluation values ​​of each key signal parameter; determining the satellite's communication quality requirement value, and determining the communication quality difference value between the communication quality requirement value and the communication quality evaluation value; determining the adjustment coefficient of the satellite's real-time communication power based on the communication quality difference value, and dynamically adjusting the satellite's real-time communication power. This invention, by analyzing satellite communication data, accurately quantifies satellite communication quality and dynamically adjusts satellite communication power by determining the adjustment coefficient through difference analysis, achieving refined and gradual power control. It can dynamically maintain the transmission power at the theoretically optimal level while ensuring communication quality, significantly reducing power waste.

[0069] Finally, it should be noted that those skilled in the art can obviously make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention also intends to include these modifications and variations.

[0070] The above description is merely one embodiment of the present invention, and should not be construed as limiting the scope of the invention. Any structural changes made based on the present invention, as long as they do not depart from the essence of the invention, should be considered as falling within the protection scope of the present invention and subject to its restrictions. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the platform described above can be referred to the corresponding processes in the foregoing platform embodiments, and will not be repeated here.

[0071] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, platform, article, or device / platform that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to those processes, platforms, articles, or devices / platforms.

[0072] The technical solutions of the present invention have been described in conjunction with the accompanying drawings and further embodiments. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will all fall within the scope of protection of the present invention.

[0073] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. A method for dynamically adjusting satellite communication power, characterized in that, include: Acquire signal monitoring data for satellite communication, analyze the signal monitoring data, and determine the key signal parameters that affect signal quality; Feature analysis is performed on the data of key signal parameters to determine data characteristics, and the signal quality of key signal parameters is evaluated based on the data characteristics to obtain signal quality evaluation values; Based on the signal quality assessment values ​​of each key signal parameter, a comprehensive analysis and calculation are performed to determine the satellite's communication quality assessment value. Determine the required communication quality values ​​for the satellite, and conduct a difference analysis between the required communication quality values ​​and the assessed communication quality values ​​to determine the communication quality difference values; The adjustment coefficient for the satellite's real-time communication power is determined based on the communication quality difference value, and the satellite's real-time communication power is dynamically adjusted based on the adjustment coefficient. The acquisition of satellite communication signal monitoring data, and the analysis of the signal monitoring data to determine key signal parameters affecting signal quality, include: Acquire signal monitoring data from satellite communications and divide the signal monitoring data into multiple signal parameter data groups according to parameter type; Determine the bit error rate monitoring data during satellite communication and calculate the correlation between each signal parameter data set and the bit error rate monitoring data; The signal parameter data groups with a correlation higher than a preset threshold are filtered out, and the parameter types corresponding to the filtered signal parameter data groups are determined as the operating parameters that affect signal quality. The process of determining the adjustment coefficient for the satellite's real-time communication power based on the communication quality difference value, and dynamically adjusting the satellite's real-time communication power based on the adjustment coefficient, includes: The proportional coefficient is determined based on the communication quality difference value, and the adjustment coefficient of the satellite real-time communication power is obtained by calculation based on the proportional coefficient and the communication quality difference value. The satellite's current real-time communication power is obtained, and the control adjustment coefficient is multiplied by the real-time communication power to calculate the satellite's optimized real-time communication power, so as to dynamically adjust the satellite's real-time communication power.

2. The method for dynamically adjusting satellite communication power according to claim 1, characterized in that, The process of performing feature analysis on the data of key signal parameters to determine data features, and evaluating the signal quality of key signal parameters based on these features to obtain signal quality evaluation values, includes: Identify the signal parameter data set corresponding to the key signal parameters and calculate the average value of the signal parameter data set; The minimum and target values ​​of the key signal parameters are determined in advance, and the signal quality value is calculated based on the average, minimum and target values ​​of the key signal parameters. The signal quality values ​​are evaluated and obtained to obtain the signal quality evaluation values ​​of key signal parameters.

3. The method for dynamically adjusting satellite communication power according to claim 2, characterized in that, The formula for calculating the signal quality value is: Z = (SM) / (TM) Where Z is the signal quality value, S is the average value of the key signal parameter, M is the minimum value of the key signal parameter, and T is the target value of the key signal parameter.

4. The method for dynamically adjusting satellite communication power according to claim 2, characterized in that, The signal quality assessment values ​​based on each key signal parameter are comprehensively analyzed and calculated to determine the satellite's communication quality assessment value, including: Determine the correlation between the signal parameter data sets corresponding to each key signal parameter and the bit error rate monitoring data, and normalize the correlation to obtain the weight of each key signal parameter; The satellite's communication quality assessment value is obtained by weighting and summing the weights of each key signal parameter and the signal quality assessment value.

5. The method for dynamically adjusting satellite communication power according to claim 4, characterized in that, The process of determining the satellite's communication quality requirements and performing a difference analysis between the communication quality requirements and the communication quality assessment values ​​to determine the communication quality difference values ​​includes: Determine the required communication quality value for the satellite and calculate the difference between the required communication quality value and the assessed communication quality value to obtain the communication quality difference value between the required communication quality value and the assessed communication quality value.

6. The method for dynamically adjusting satellite communication power according to claim 1, characterized in that, The determination of the proportional coefficient based on the communication quality difference value includes: A preset proportional coefficient-communication quality difference value range correspondence is set in advance. For each communication quality difference value range, a corresponding preset proportional coefficient is associated with it. Determine the communication quality difference value, and based on the mapping relationship between the communication quality difference value interval to which the communication quality difference value belongs and the corresponding relationship between the preset proportional coefficient and the communication quality difference value interval, select the preset proportional coefficient corresponding to the communication quality difference value interval as the corresponding proportional coefficient.

7. A method for dynamically adjusting satellite communication power according to claim 5, characterized in that, The formula for calculating the adjustment coefficient is as follows: k=1+f ΔQ, Where k is the adjustment coefficient, f is the proportional coefficient, and ΔQ is the communication quality difference value.

8. A satellite communication power dynamic adjustment system, characterized in that, include: The acquisition module is used to acquire signal monitoring data of satellite communication, analyze the signal monitoring data, and determine the key signal parameters that affect signal quality. The evaluation module is used to perform feature analysis on the data of key signal parameters, determine the data features, and evaluate the signal quality of the key signal parameters based on the data features to obtain the signal quality evaluation value. The calculation module is used to perform comprehensive analysis and calculation based on the signal quality assessment values ​​of each key signal parameter to determine the satellite's communication quality assessment value; The analysis module is used to determine the communication quality requirements of the satellite, and to perform a difference analysis between the communication quality requirements and the communication quality assessment values ​​to determine the communication quality difference values. The adjustment module is used to determine the adjustment coefficient of the satellite's real-time communication power based on the communication quality difference value, and to dynamically adjust the satellite's real-time communication power based on the adjustment coefficient; The acquisition of satellite communication signal monitoring data, and the analysis of the signal monitoring data to determine key signal parameters affecting signal quality, include: Acquire signal monitoring data from satellite communications and divide the signal monitoring data into multiple signal parameter data groups according to parameter type; Determine the bit error rate monitoring data during satellite communication and calculate the correlation between each signal parameter data set and the bit error rate monitoring data; The signal parameter data groups with a correlation higher than a preset threshold are filtered out, and the parameter types corresponding to the filtered signal parameter data groups are determined as the operating parameters that affect signal quality. The process of determining the adjustment coefficient for the satellite's real-time communication power based on the communication quality difference value, and dynamically adjusting the satellite's real-time communication power based on the adjustment coefficient, includes: The proportional coefficient is determined based on the communication quality difference value, and the adjustment coefficient of the satellite real-time communication power is obtained by calculation based on the proportional coefficient and the communication quality difference value. The satellite's current real-time communication power is obtained, and the control adjustment coefficient is multiplied by the real-time communication power to calculate the satellite's optimized real-time communication power, so as to dynamically adjust the satellite's real-time communication power.

Images