Dual-mode satellite communication method and system based on Ku wave band

Abstract

The invention relates to the technical field of satellite communication, and discloses a dual-mode satellite communication method and system based on a Ku wave band, and the method comprises the steps: starting a dual-mode satellite portable station, carrying out the optimization of an intelligent antenna array, and carrying out the quick satellite positioning; the cruising ability of the equipment is improved through the energy recovery and energy saving system, and switching between satellite communication and ground communication is carried out according to communication requirements; a satellite signal is predicted and compensated, and the communication security is improved by adopting an anti-interference and anti-interception technology; aiming at data transmission requirements of the Internet of Things, a satellite communication data transmission scheme is optimized, and dynamic allocation and optimal scheduling of resources are realized through a virtualized network management and scheduling system. According to the method and the system, a stable communication link can be quickly established and maintained, the efficiency and the speed of data transmission are improved, satellite communication and ground communication are automatically switched according to different communication requirements and environment conditions, and the flexibility and the adaptability of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of satellite communication technology, and in particular to a Ku-band dual-mode satellite communication method and system. Background Art

[0002] The company's river basin power station is located near the epicenter. The earthquake caused the regional mountains to be broken, the geology to be loose, and there were many collapsed blocks and rubble. At the same time, affected by the El Nino event, extreme weather such as rainstorms and floods occurred frequently. The company's mountain power station has been hit by multiple heavy rainstorms, floods, and mudslides since 2017, causing significant property losses to the company.

[0003] The heavy rain and debris flow disaster formed many barrier lakes and debris flow gullies in the power station area of ​​the basin, causing traffic, electricity and communication interruptions for several days. The power stations in the basin were divided into multiple isolated islands, losing external transportation and communication links, posing a huge threat to production personnel and dam safety. In particular, the large-scale debris flow caused by the heavy rain destroyed 12 km of roads and communication optical cables, which could not be restored for a long time, and the optical cables that were repaired were often broken by landslides and falling rocks and were interrupted many times.

[0004] Satellite data communication is not restricted by geographical and climatic conditions, has long transmission distance, high communication reliability, and is flexible and maneuverable. It is a supplement to traditional optical cable communication. The Ku-band dual-mode satellite portable station has all the advantages of satellite communication, such as all-weather, wide coverage, and high reliability. It can provide access to emergency communication networks and the Internet.

[0005] Therefore, the research and application of Ku-band dual-mode satellite portable stations are studied to facilitate the flexible deployment of satellite ground stations when natural disasters occur, and to effectively support disaster relief and rescue work. Summary of the invention

[0006] In view of the above existing problems, the present invention is proposed.

[0007] Therefore, the present invention provides a Ku-band dual-mode satellite communication method, which can select the latest antenna technology and automatic satellite alignment system, and integrate the current emergency communication network and Internet modem into a satellite portable station, providing the greatest communication guarantee for emergency rescue and disaster relief.

[0008] To solve the above technical problems, the present invention provides the following technical solutions: a Ku-band dual-mode satellite communication method, comprising: starting a dual-mode satellite portable station, optimizing an intelligent antenna array, and quickly positioning the satellite; improving the endurance of the equipment through an energy recovery and energy-saving system, and switching between satellite communication and ground communication according to communication needs; predicting and compensating satellite signals, and using anti-interference and anti-interception technologies to improve communication security; optimizing the satellite communication data transmission solution according to the data transmission needs of the Internet of Things, and realizing dynamic resource allocation and optimized scheduling through a virtualized network management and scheduling system.

[0009] As a preferred solution of the Ku-band dual-mode satellite communication method described in the present invention, the intelligent antenna array optimization includes using sensors to collect current terrain and environmental data, cleaning and formatting the collected environmental data through a preprocessing algorithm to obtain a data set, using an improved mathematical model to perform beamforming prediction, and adjusting the weight of the antenna array according to the prediction result to achieve optimal beamforming.

[0010] As a preferred solution of the Ku-band dual-mode satellite communication method described in the present invention, the switching between satellite communication and ground communication includes collecting current satellite parameters in real time, constructing a multi-parameter weighted evaluation model, and evaluating the pros and cons of each potential communication path;

[0011] Set the weight coefficients for communication path evaluation, including signal strength weight, signal quality weight, link delay weight, and link bandwidth weight. For each potential path i, calculate the comprehensive score Score i , sort the potential paths according to the scores to obtain an ordered path list;

[0012] Select Score i The highest path is taken as the current optimal communication path. When there are multiple paths Score i If the two are the same, the historical communication data and environmental change trends are further considered to make decisions.

[0013] As a preferred solution of the Ku-band dual-mode satellite communication method described in the present invention, the prediction and compensation of satellite signals include: based on historical data and current environmental parameters, using a recursive neural network RNN ​​to predict signals;

[0014] The system analyzes the signal prediction value output by the RNN model and compares it with the actual signal to determine the degree of signal attenuation or interference. Based on the difference between the prediction result and the actual signal, the system dynamically calculates the compensation coefficient and compensates the signal based on the compensation coefficient and the difference between the predicted signal and the actual signal.

[0015] As a preferred solution of the Ku-band dual-mode satellite communication method described in the present invention, the anti-interference and anti-interception technology includes generating a pseudo-random frequency hopping sequence to avoid interference and interception on a fixed frequency:

[0016] f n =f start +(n·Δf+φ(n))mod F

[0017] Among them, f n is the nth frequency hopping frequency, f start is the starting frequency, Δf is the frequency interval, F is the frequency hopping bandwidth, and φ(n) is the pseudo-random number sequence;

[0018] Use pseudo-random codes to spread the signal to improve signal concealment and anti-interference capabilities:

[0019] s spread (t) = s(t)·c(t)

[0020] Among them, S spread (t) is the spread spectrum signal, s(t) is the original signal, and c(t) is the pseudo-random code.

[0021] As a preferred solution of the Ku-band dual-mode satellite communication method described in the present invention, the optimized satellite communication data transmission solution includes: the normal operation state is that the smart antenna array optimization is performed once every 4 hours, and the energy recovery system is higher than the power threshold θ bat The system operates continuously, with satellite signal predictions performed every 30 minutes;

[0022] Emergency is when E remaining <θ bat And Q sat >Q ground When D pred >θ distortion When the signal compensation algorithm is executed immediately, the antenna array is adjusted;

[0023] Peak hours are the peak period of IoT data transmission. The calculation of data transmission demand of IoT devices takes into account the dynamic adjustment of data transmission priority. current >θ load When the system automatically enables the backup resource pool;

[0024] Among them, E remaining Indicates the current remaining power of the device, Q sat Indicates the current quality of the satellite signal, Q ground Indicates the current quality of the ground signal, D pred represents the predicted satellite signal distortion, θdistortion The maximum signal distortion threshold allowed is L current Indicates the current network load, θ load Indicates the current load threshold.

[0025] As a preferred solution of the Ku-band dual-mode satellite communication method described in the present invention, the dynamic resource allocation and optimal scheduling include using improved adaptive coding and modulation technology to predict channel conditions in the future and adjust coding and modulation strategies in advance;

[0026] Assume that the channel condition prediction value is C t , the coding modulation strategy is S t , then the improved ACM model is expressed as:

[0027] S t =f(C t ,θ)

[0028] Among them, θ is the parameter of the machine learning model;

[0029] According to the predicted channel conditions, resource allocation is dynamically adjusted. Based on multiple objectives such as transmission rate, power consumption, and delay, a multi-objective optimization algorithm is used for scheduling. The next prediction and scheduling are optimized based on the scheduling results and feedback from the actual network status.

[0030] Another object of the present invention is to provide a Ku-band dual-mode satellite communication system that can quickly establish and maintain a stable communication link, reduce signal search and synchronization time, and thus improve the efficiency and speed of data transmission.

[0031] As a preferred solution of the Ku-band dual-mode satellite communication system described in the present invention, it includes: a dual-mode satellite portable station module, an energy management and communication switching module, a signal processing and optimization module, a data transmission optimization module, and a virtualized network management and scheduling system module;

[0032] The dual-mode satellite portable station module is responsible for starting and operating the dual-mode satellite portable station, performing intelligent antenna array optimization and rapid satellite positioning, and ensuring a stable connection with the satellite;

[0033] The energy management and communication switching module improves the endurance of the equipment through energy recovery and energy-saving systems, and intelligently switches between satellite communication and ground communication according to communication needs, using a multi-parameter weighted evaluation model to determine the optimal communication path;

[0034] The signal processing and optimization module predicts and compensates satellite signals, uses a recursive neural network (RNN) to predict signals, and dynamically calculates compensation coefficients to optimize signal quality. At the same time, it uses pseudo-random frequency hopping sequences and spread spectrum technology to improve communication security and anti-interference capabilities.

[0035] The data transmission optimization module optimizes the satellite communication data transmission scheme according to the data transmission requirements of the Internet of Things, including regular optimization of the smart antenna array, operation of the energy recovery system, regular execution of signal prediction, and automatic response and resource allocation in emergency situations and peak hours;

[0036] The virtualized network management and scheduling system module realizes dynamic resource allocation and optimized scheduling, adopts a multi-objective optimization algorithm to perform resource allocation and scheduling, and optimizes the prediction and scheduling process based on feedback.

[0037] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the processor implements the steps of a Ku-band dual-mode satellite communication method.

[0038] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the computer program implements the steps of a Ku-band dual-mode satellite communication method.

[0039] Beneficial effects of the present invention: Through intelligent antenna arrays and fast satellite positioning technology, the system can quickly establish and maintain a stable communication link, reduce signal search and synchronization time, and thus improve the efficiency and speed of data transmission. Using signal prediction and compensation technology, the system can identify and compensate for signal fading or interference in advance to ensure the continuity and reliability of communication. The application of anti-interference and anti-interception technology improves the security of communications and prevents data from being illegally intercepted or tampered with during transmission. The integration of energy recovery and energy-saving systems improves the energy utilization efficiency of equipment and extends the working time of equipment, which is especially important for IoT devices because they may be deployed in environments where it is difficult to frequently replace batteries. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0041] Figure 1 A schematic flow chart of a Ku-band dual-mode satellite communication method provided for one embodiment of the present invention.

[0042] Figure 2 A public-private network switching block diagram based on a Ku-band dual-mode satellite communication method is provided for one embodiment of the present invention.

[0043] Figure 3 A schematic diagram of working modules of a Ku-band dual-mode satellite communication system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0045] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0046] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0047] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0048] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0049] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0050] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides a Ku-band dual-mode satellite communication method, comprising:

[0051] S1: Start the dual-mode satellite portable station, optimize the intelligent antenna array, and perform rapid satellite positioning;

[0052] Furthermore, sensors are used to collect current terrain and environmental data, including terrain height, vegetation density, building occlusion, etc. The collected environmental data is cleaned and formatted through a preprocessing algorithm to obtain a data set, and an improved mathematical model is used for beamforming prediction;

[0053] Assume G(θ,φ) is the radiation pattern of the antenna array, θ and φ are the azimuth and elevation angles respectively, W is the weight vector, X(θ,φ) is the array response vector, and P is the desired beam shape. The optimization objective function is:

[0054]

[0055] Among them, λ is the regularization parameter used to balance the beamforming accuracy and the sparsity of the weight vector, and ||·||1 represents the L1 norm, which is used to enhance the robustness of the model.

[0056] According to the prediction results, the weights of the antenna array are adjusted to achieve the optimal beamforming. The adjustment process can use the following iterative algorithm:

[0057]

[0058] Where μ is the step size, is the objective function J(W) in W k The adjusted beamforming result is compared with the actual received signal and fine-tuned through the feedback loop to adapt to environmental changes.

[0059] S2: Improve equipment endurance through energy recovery and energy-saving systems, and switch between satellite communication and ground communication according to communication needs.

[0060] Furthermore, the converted electrical energy is stored in supercapacitors or lithium-ion batteries, and the energy is monitored and distributed through a management system, which automatically adjusts the storage and use of energy according to the device's operating mode and energy consumption requirements. For example, when the device is in low-power mode, the system will give priority to using the recycled energy.

[0061] The system continuously monitors stored energy, recovered energy and used energy to achieve an optimized energy cycle. This includes storing excess energy when energy is sufficient and prioritizing the use of recovered energy when energy is insufficient.

[0062] It should be noted that the current satellite parameters are collected in real time, and a multi-parameter weighted evaluation model is constructed to evaluate the pros and cons of each potential communication path;

[0063] Set the weight coefficients for communication path evaluation, including signal strength weight, signal quality weight, link delay weight, and link bandwidth weight. For each potential path i, calculate the comprehensive score Score i :

[0064] Score i =ω s ·S i +ω q Q i +ω d ·D i +ω b ·B i

[0065] Among them, S i , Q i , D i , B i are the scores of signal strength, signal quality, link delay and link bandwidth of path i respectively. Potential paths are sorted according to the scores to obtain an ordered path list;

[0066] Select Score i The highest path is taken as the current optimal communication path. When there are multiple paths Score i If the two are the same, the historical communication data and environmental change trends are further considered to make decisions.

[0067] S3: Predict and compensate for satellite signals, and use anti-interference and anti-interception technologies to improve communication security.

[0068] Furthermore, based on historical data and current environmental parameters, a recurrent neural network (RNN) is used to predict signals:

[0069] h t =tanh(W h ·h t-1 +Wx ·x t +b h )

[0070]

[0071] Among them, h t is the hidden state, x t is the input signal, W h , W x , W y is the weight matrix, b h , b y is the bias term;

[0072] The system analyzes the signal prediction value output by the RNN model and compares it with the actual signal to determine the degree of signal attenuation or interference. Based on the difference between the prediction result and the actual signal, the system dynamically calculates the compensation coefficient and compensates the signal based on the compensation coefficient and the difference between the predicted signal and the actual signal.

[0073] According to the prediction results, the signal parameters are dynamically adjusted for compensation:

[0074]

[0075] Among them, x comp (t) is the compensated signal, λ is the compensation coefficient, is the pre-compensation prediction signal.

[0076] S4: Aiming at the data transmission needs of the Internet of Things, optimize the satellite communication data transmission solution and realize dynamic resource allocation and optimized scheduling through the virtualized network management and scheduling system.

[0077] Furthermore, the scheme for optimizing satellite communication data transmission includes: when the signal gain of the smart antenna array is lower than a preset threshold value θ gain When the optimization process is triggered, the signal gain threshold θ is set. gain =10dB, when the actual measured value is less than the preset threshold, the adaptive adjustment algorithm of the antenna array is started.

[0078] When the remaining power of the device is lower than θ bat When the satellite signal quality is Q sat Higher than the ground signal quality Q ground When the power threshold is set, satellite communication is used first; bat =20% when E remaining <θ bat And time Q sat >Q ground , switch to satellite communication mode.

[0079] When the predicted signal distortion D predExceeding the maximum allowable distortion θ distortion When , perform signal compensation; set the maximum distortion threshold θ distortion =5%, when D pred >θ distortion When , the signal compensation algorithm is started.

[0080] According to the data transmission requirements of IoT devices demand and the current network load L current , dynamically adjust resource allocation; set network load threshold θ load =80%; when L current >θ load And R demand When the priority is high, resources are allocated first. The resource allocation formula is:

[0081]

[0082] Among them, W priority is the priority weight.

[0083] It should be noted that the normal operation state is that the smart antenna array optimization is performed once every 4 hours, and the energy recovery system is bat The system operates continuously, with satellite signal predictions performed every 30 minutes;

[0084] Emergency is when E remaining <θ bat And Q sat >Q ground When D pred >θ distortion When the signal compensation algorithm is executed immediately, the antenna array is adjusted;

[0085] Peak hours are the peak period of IoT data transmission. The calculation of data transmission demand of IoT devices takes into account the dynamic adjustment of data transmission priority. current >θ load The system automatically enables the standby resource pool.

[0086] Furthermore, dynamic resource allocation and optimized scheduling use improved adaptive coding and modulation technology to predict channel conditions in the future and adjust coding and modulation strategies in advance;

[0087] Assume that the channel condition prediction value is C t , the coding modulation strategy is S t , then the improved ACM model is expressed as:

[0088] S t =f(C t ,θ)

[0089] Among them, θ is the parameter of the machine learning model;

[0090] According to the predicted channel conditions, resource allocation is dynamically adjusted. Based on multiple objectives such as transmission rate, power consumption, and delay, a multi-objective optimization algorithm is used for scheduling. The next prediction and scheduling are optimized based on the scheduling results and feedback from the actual network status.

[0091] Example 2 is an embodiment of the present invention, which provides a Ku-band dual-mode satellite communication method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0092] According to the parameters of the private network satellite Asia-7 and the public network satellite Asia-Pacific 6D, and in accordance with the company's satellite communication private network configuration requirements, when using the Asia-Pacific 7 satellite, a single local oscillator LNB is used, with an operating frequency of 12.25-12.75GHz and a local oscillator frequency of 11.3GHz; when using the Asia-Pacific 6D satellite, a dual local oscillator wideband LNB is used, with an operating frequency of 10.7-12.75GHz and a local oscillator frequency of 9.75GHz / 10.6GHz.

[0093] According to the coverage map of Asia Satellite 7, the landing field strength in the designated area is 50dBW. Theoretically, a 0.6-meter aperture antenna can be used. Since the equipment used by Asia Satellite 7 is a 1.2-meter automatic portable antenna + 16W power amplifier, according to the equivalent conversion method, a 1.2-meter antenna + 16W power amplifier is equivalent to a 0.6-meter antenna + 40W power amplifier.

[0094] The Ku-band dual-mode satellite portable station with an equivalent aperture of 0.6 meters has been successfully developed. It uses the latest antenna technology and automatic star alignment system, and integrates the current emergency communication network and Internet modem into a satellite portable station. It is portable and can be easily connected to the company's emergency communication network or the Internet at any location, providing the greatest communication guarantee for emergency rescue and disaster relief.

[0095] The shared parts such as power amplifier, antenna servo system, power supply, etc. are all relatively expensive. After sharing, the work of two satellite ground stations can be achieved with the price of one satellite ground station, which can greatly save investment.

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0097] Embodiment 3, the third embodiment of the present invention, is different from the first two embodiments in that:

[0098] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0099] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0100] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0101] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0102] Example 4, reference Figure 3 , which is an embodiment of the present invention, provides a dual-mode satellite communication system based on Ku band, characterized by: comprising a dual-mode satellite portable station module 1, an energy management and communication switching module 2, a signal processing and optimization module 3, a data transmission optimization module 4, and a virtualized network management and scheduling system module 5;

[0103] Dual-mode satellite portable station module 1 is responsible for starting and operating the dual-mode satellite portable station, performing intelligent antenna array optimization and rapid satellite positioning to ensure a stable connection with the satellite;

[0104] Energy management and communication switching module 2 improves the endurance of the equipment through energy recovery and energy-saving systems, and intelligently switches between satellite communication and ground communication according to communication needs, using a multi-parameter weighted evaluation model to determine the optimal communication path;

[0105] Signal processing and optimization module 3 predicts and compensates satellite signals, uses recursive neural network (RNN) to predict signals, and dynamically calculates compensation coefficients to optimize signal quality. At the same time, pseudo-random frequency hopping sequence and spread spectrum technology are used to improve communication security and anti-interference capabilities.

[0106] Data transmission optimization module 4 optimizes satellite communication data transmission solutions for IoT data transmission needs, including regular optimization of smart antenna arrays, operation of energy recovery systems, regular execution of signal prediction, and automatic response and resource allocation in emergency situations and peak hours;

[0107] The virtualized network management and scheduling system module 5 realizes dynamic resource allocation and optimal scheduling, adopts a multi-objective optimization algorithm for resource allocation and scheduling, and optimizes the prediction and scheduling process based on feedback.

[0108] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A Ku-band dual-mode satellite communication method, characterized in that: include, Start the dual-mode satellite portable station, optimize the intelligent antenna array, and perform rapid satellite positioning; Improve equipment endurance through energy recovery and energy-saving systems, and switch between satellite and ground communications based on communication needs; Predict and compensate satellite signals, and use anti-interference and anti-interception technologies to improve communication security; In response to the data transmission needs of the Internet of Things, the satellite communication data transmission solution is optimized, and dynamic resource allocation and optimized scheduling are achieved through a virtualized network management and scheduling system.

2. A Ku-band dual-mode satellite communication method according to claim 1, characterized in that: The intelligent antenna array optimization includes using sensors to collect current terrain and environmental data, cleaning and formatting the collected environmental data through a preprocessing algorithm to obtain a data set, using an improved mathematical model to predict beamforming, and adjusting the weight of the antenna array according to the prediction result to achieve optimal beamforming.

3. A Ku-band dual-mode satellite communication method according to claim 2, characterized in that: The switching between satellite communication and ground communication includes collecting current satellite parameters in real time, building a multi-parameter weighted evaluation model, and evaluating the pros and cons of each potential communication path; Set the weight coefficients for communication path evaluation, including signal strength weight, signal quality weight, link delay weight, and link bandwidth weight. For each potential path i, calculate the comprehensive score Score i , sort the potential paths according to the scores to obtain an ordered path list; Select Score i The highest path is taken as the current optimal communication path. When there are multiple paths Score i If the two are the same, the historical communication data and environmental change trends are further considered to make decisions.

4. A Ku-band dual-mode satellite communication method as claimed in claim 3, characterized in that: The prediction and compensation of satellite signals includes using a recurrent neural network (RNN) to predict signals based on historical data and current environmental parameters; The system analyzes the signal prediction value output by the RNN model and compares it with the actual signal to determine the degree of signal attenuation or interference. Based on the difference between the prediction result and the actual signal, the system dynamically calculates the compensation coefficient and compensates the signal based on the compensation coefficient and the difference between the predicted signal and the actual signal.

5. A Ku-band dual-mode satellite communication method as claimed in claim 4, characterized in that: The anti-interference and anti-interception technology includes generating a pseudo-random frequency hopping sequence to avoid interference and interception on a fixed frequency: f n =f start +(n·Δf+φ(n))mod F Among them, f n is the nth frequency hopping frequency, f start is the starting frequency, Δf is the frequency interval, F is the frequency hopping bandwidth, and φ(n) is the pseudo-random number sequence; Use pseudo-random codes to spread the signal to improve signal concealment and anti-interference capabilities: s spread (t)=s(t)·c(t) Among them, s spread (t) is the spread spectrum signal, s(t) is the original signal, and c(t) is the pseudo-random code.

6. A Ku-band dual-mode satellite communication method as claimed in claim 5, characterized in that: The optimized satellite communication data transmission scheme includes: the normal operation state is that the smart antenna array optimization is performed once every 4 hours, and the energy recovery system is bat The system operates continuously, with satellite signal predictions performed every 30 minutes; Emergency is when E remaining <θ bat And Q sat >Q ground When D pred >θ distortion When the signal compensation algorithm is executed immediately, the antenna array is adjusted; Peak hours are the peak period of IoT data transmission. The calculation of data transmission demand of IoT devices takes into account the dynamic adjustment of data transmission priority. current >θ load When the system automatically enables the backup resource pool; Among them, E remaining Indicates the current remaining power of the device, Q sat Indicates the current quality of the satellite signal, Q ground Indicates the current quality of the ground signal, D pred represents the predicted satellite signal distortion, θ distortion The maximum signal distortion threshold allowed is L current Indicates the current network load, θ load Indicates the current load threshold.

7. A Ku-band dual-mode satellite communication method according to claim 6, characterized in that: The dynamic resource allocation and optimized scheduling include using improved adaptive coding and modulation technology to predict channel conditions in the future and adjust coding and modulation strategies in advance; Assume that the channel condition prediction value is C t , the coding modulation strategy is S t , then the improved ACM model is expressed as: S t =f(C t ,i) Among them, θ is the parameter of the machine learning model; According to the predicted channel conditions, resource allocation is dynamically adjusted. Based on the consideration of multiple objectives such as transmission rate, power consumption, and delay, a multi-objective optimization algorithm is used for scheduling. The next prediction and scheduling are optimized based on the scheduling results and feedback from the actual network status.

8. A system using a Ku-band dual-mode satellite communication method as claimed in any one of claims 1 to 7, characterized in that: It includes dual-mode satellite portable station module, energy management and communication switching module, signal processing and optimization module, data transmission optimization module, virtualized network management and scheduling system module; The dual-mode satellite portable station module is responsible for starting and operating the dual-mode satellite portable station, performing intelligent antenna array optimization and rapid satellite positioning, and ensuring a stable connection with the satellite; The energy management and communication switching module improves the endurance of the equipment through energy recovery and energy-saving systems, and intelligently switches between satellite communication and ground communication according to communication needs, using a multi-parameter weighted evaluation model to determine the optimal communication path; The signal processing and optimization module predicts and compensates satellite signals, uses a recursive neural network (RNN) to predict signals, and dynamically calculates compensation coefficients to optimize signal quality. At the same time, it uses pseudo-random frequency hopping sequences and spread spectrum technology to improve communication security and anti-interference capabilities. The data transmission optimization module optimizes the satellite communication data transmission scheme according to the data transmission requirements of the Internet of Things, including regular optimization of the smart antenna array, operation of the energy recovery system, regular execution of signal prediction, and automatic response and resource allocation in emergency situations and peak hours; The virtualized network management and scheduling system module realizes dynamic resource allocation and optimized scheduling, adopts a multi-objective optimization algorithm to perform resource allocation and scheduling, and optimizes the prediction and scheduling process based on feedback.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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