A dual-mode handheld satellite terminal communication method, terminal, device and medium

Abstract

This invention provides a dual-mode handheld satellite terminal communication method, terminal, device, and medium. The method includes: receiving high-orbit satellite signals and low-orbit satellite signals through the dual-mode handheld satellite terminal and processing them into digital signals respectively; extracting required signal quality indicators from each digital signal; determining the real-time weight of each signal quality indicator; determining the comprehensive quality score of the high-orbit satellite signal and the low-orbit satellite signal according to the signal quality indicators and their corresponding weights; selecting the signal with the highest comprehensive quality score as the optimal communication signal; and using the selected optimal communication signal for data transmission to achieve communication with the satellite. This invention can select the satellite signal with the best quality in real time for communication, avoiding problems such as communication interruption and data transmission errors caused by selecting poor-quality signals, significantly improving communication performance and user experience.

Description

Technical Field

[0001] This invention relates to the field of satellite communication technology, and in particular to a dual-mode handheld satellite terminal communication method, terminal, device and medium with dynamic adaptive signal quality indicators. Background Technology

[0002] With the continuous development of satellite communication technology, handheld satellite terminals play an important role in many fields such as emergency communication, field exploration, and military applications. Currently, handheld satellite terminals typically need to receive signals from satellites in different orbits, such as high-orbit satellite signals (the commonly used handheld terminal voice communication satellite is Tiantong satellite, S-band) and low-orbit satellite signals (the commonly used handheld terminal voice communication satellite is the State Grid constellation, L-band), to meet communication needs in different scenarios.

[0003] However, existing handheld satellite terminals often lack an effective dynamic evaluation mechanism for selecting between high-Earth orbit (HEO) and low-Earth orbit (LEO) satellite signals during communication. They typically employ fixed signal selection strategies, such as selecting signals based on preset priorities or manually switching signals in specific scenarios. This fixed selection strategy has the following problems:

[0004] 1. The inability to flexibly adjust based on real-time signal quality may lead to the selection of a lower quality signal for communication in certain situations, thereby affecting communication performance and user experience.

[0005] 2. When the propagation environment of satellite signals changes, such as weather changes or terrain obstruction, the fixed signal selection strategy cannot adapt in time and cannot give full play to the advantages of high-orbit and low-orbit satellites.

[0006] Therefore, there is an urgent need in the existing technology for a satellite terminal communication method that can dynamically and adaptively select the best communication signal based on signal quality indicators, in order to solve the above problems and improve the communication performance and reliability of handheld satellite terminals. Summary of the Invention

[0007] To address the problems existing in the prior art, a dual-mode handheld satellite terminal communication method, terminal, device and medium are provided. The aim is to solve the problem that existing handheld satellite terminals lack an effective dynamic evaluation mechanism for selecting high-orbit satellite signals and low-orbit satellite signals during communication, so as to realize the flexible selection of the best communication signal based on the real-time signal quality, thereby improving the communication effect and user experience.

[0008] The first aspect of this invention proposes a dual-mode handheld satellite terminal communication method, comprising:

[0009] The dual-mode handheld satellite terminal receives high-orbit and low-orbit satellite signals and processes them into digital signals respectively.

[0010] Extract the required signal quality metrics from each digital signal;

[0011] Determine the real-time weights of each signal quality indicator;

[0012] The overall quality scores for high-orbit and low-orbit satellite signals are determined based on signal quality indicators and their corresponding weights.

[0013] The signal with the highest overall quality score is selected as the best communication signal. The handheld satellite terminal uses the selected best communication signal to transmit data and achieve communication with the satellite.

[0014] As a preferred option, it also includes continuously monitoring changes in signal quality indicators during communication, and recalculating the overall signal quality score and selecting the best communication signal when a significant change in the signal quality indicators is detected.

[0015] As a preferred embodiment, the signal quality indicators include signal strength, signal-to-noise ratio, bit error rate, signal stability, and signal delay.

[0016] As a preferred embodiment, determining the real-time weights of each signal quality index specifically includes:

[0017] Based on historical data and real-time monitoring data, establish a mapping relationship between signal quality indicators and weights;

[0018] The weights of each signal quality indicator are adjusted in real time based on the changing trends of the signal quality indicators and the actual application scenarios.

[0019] As a preferred approach, machine learning or adaptive algorithms are used to adjust the weights of each signal quality index in real time.

[0020] As a preferred embodiment, the method for determining the comprehensive quality score includes:

[0021] The signal quality indices of high-orbit and low-orbit satellite signals are weighted and summed to calculate the overall quality score of the high-orbit and low-orbit satellite signals respectively.

[0022] As a preferred embodiment, the signal strength is obtained by measuring the power of the received signal; the signal-to-noise ratio is determined by calculating the ratio of signal power to noise power; the bit error rate is determined by statistically analyzing the ratio of the number of erroneous bits during transmission to the total number of bits; the signal stability is measured by calculating the standard deviation of the signal strength or signal-to-noise ratio; and the signal delay can be obtained by measuring the time delay from when the signal is transmitted from the satellite to when it is received by the receiving terminal.

[0023] A second aspect of the present invention provides a dual-mode handheld satellite terminal, comprising:

[0024] L-band communication module, used to receive low-Earth orbit satellite signals;

[0025] S-band communication module, used to receive signals from high-orbit satellites;

[0026] The data processing module is used to execute the dual-mode handheld satellite terminal communication method described in the first aspect.

[0027] A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in the first aspect for the dual-mode handheld satellite terminal communication method.

[0028] The fourth aspect of the present invention provides a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, are used to implement the process corresponding to the dual-mode handheld satellite terminal communication method described in the first aspect.

[0029] Compared with existing technologies, the beneficial effects of adopting the above technical solution are as follows:

[0030] 1. Improved communication performance and user experience: Through dynamic evaluation based on signal quality indicators, the best quality satellite signal can be selected for communication in real time, avoiding communication interruptions and data transmission errors caused by selecting poor quality signals, thus significantly improving communication performance and user experience.

[0031] 2. Fully leverage the advantages of high-orbit and low-orbit satellites: The method of this invention can flexibly select high-orbit or low-orbit satellite signals for communication based on the actual signal quality, giving full play to the advantages of high-orbit satellites, such as wide coverage and strong penetration, and low-orbit satellite signals, such as low transmission delay and high transmission rate. This improves the communication performance and reliability of handheld satellite terminals in different scenarios, and has significant practical value and innovation.

[0032] 3. High adaptability: It adopts machine learning algorithms or adaptive algorithms to dynamically adjust the weight of signal quality indicators, which can adapt to signal changes in different environments. It has strong adaptability and robustness and can be widely used in various complex satellite communication scenarios. Attached Figure Description

[0033] Figure 1 This is a flowchart of the dual-mode handheld satellite terminal communication method proposed in this invention.

[0034] Figure 2 This is a schematic diagram of a dual-mode handheld satellite terminal proposed in an embodiment of the present invention.

[0035] Figure 3 This is a schematic diagram illustrating the implementation process of the dual-mode handheld satellite terminal communication method proposed in this embodiment of the invention. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0037] Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of this application. Unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other. Furthermore, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be performed in a different order than that shown here.

[0038] The term "comprising" and any variations thereof in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive protection. For example, a process, method, system, product, or apparatus that comprises a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0039] In this application, "multiple" can mean at least two, such as two, three, or more, and the embodiments of this application do not impose any limitations. The data collection, dissemination, and use in the technical solution of this application all comply with relevant national laws and regulations.

[0040] To address the lack of an effective dynamic evaluation mechanism for selecting between high-orbit and low-orbit satellite signals during communication in existing handheld satellite terminals, this application proposes a dual-mode handheld satellite terminal communication method. This method enables flexible selection of the optimal communication signal based on real-time signal quality, thereby improving communication performance and user experience. Please refer to... Figure 1 The specific plan is as follows:

[0041] Step 1: Receive high-orbit satellite signals and low-orbit satellite signals through a dual-mode handheld satellite terminal, and process them into digital signals respectively.

[0042] In this embodiment, high-orbit satellite signals and low-orbit satellite signals are received through two independent antennas of the dual-mode handheld satellite terminal. The high-orbit satellite signals are Tiantong S-band signals, and the low-orbit satellite signals are L-band narrowband signals.

[0043] Then, preprocessing operations such as amplification, filtering, AD / DA analog-to-digital conversion, and modulation / demodulation are performed on the high-orbit satellite signals and low-orbit satellite signals respectively to obtain digital signals.

[0044] Step 2: Extract the required signal quality indicators from each digital signal.

[0045] In this embodiment, the signal quality indicators mainly consider signal strength, signal-to-noise ratio (SNR), bit error rate (BER), signal stability, and signal delay. However, in practical applications, other indicators can be added as needed. Selecting the optimal communication signal based on these indicators can reflect the quality of the satellite signal and provide an accurate basis for signal selection.

[0046] Specifically, signal strength can be obtained by measuring the power of the received signal; signal-to-noise ratio (SNR) can be determined by calculating the ratio of signal power to noise power; bit error rate (BER) can be calculated by statistically analyzing the ratio of the number of erroneous bits to the total number of bits during transmission; signal stability can be measured by evaluating the fluctuation of the signal over a period of time, such as by calculating the standard deviation of signal strength or SNR; and signal delay can be obtained by measuring the time delay from when the signal is transmitted from the satellite to when it is received by the receiving terminal.

[0047] Step 3: Determine the real-time weights of each signal quality index.

[0048] After determining the signal quality indicators, it is also necessary to determine the real-time weights of each signal quality indicator. Since the influence of each signal quality indicator on the communication effect varies in different signal environments, this embodiment adopts a real-time dynamic adjustment method to determine the weights.

[0049] Specifically, the process begins by analyzing historical data and real-time monitoring signal quality indicators to establish a mapping relationship between these indicators and their weights. Then, machine learning or adaptive algorithms are used to dynamically adjust the weights of each signal quality indicator based on its changing trends and the specific application scenario. For example, in environments with strong signal interference, the weight of the signal-to-noise ratio (SNR) can be increased; in applications with high real-time requirements, the weight of signal delay can be increased.

[0050] This invention uses machine learning or adaptive algorithms to dynamically adjust the weights, which can automatically optimize the weight allocation of each signal quality index in the comprehensive evaluation according to the signal changes in different environments, making the comprehensive evaluation results of signal quality more accurate and reasonable, and improving the accuracy and reliability of signal selection.

[0051] Step 4: Determine the comprehensive quality scores of high-orbit satellite signals and low-orbit satellite signals respectively based on the signal quality indicators and corresponding weights.

[0052] Based on the weights determined in real time, the signal quality indicators of high-orbit and low-orbit satellite signals are weighted and summed to calculate the comprehensive quality scores of high-orbit and low-orbit satellite signals respectively.

[0053] In one embodiment, the formula for calculating the overall quality score can be: S = w1 × signal strength + w2 × signal-to-noise ratio - w3 × bit error rate - w4 × stability + w5 × delay. Where w1, w2, w3, w4, and w5 are the weighting coefficients for signal strength, signal-to-noise ratio, bit error rate, stability, and delay, respectively, and are adjusted according to actual test data and application scenarios.

[0054] Step 5: Select the signal with the highest overall quality score as the best communication signal. The handheld satellite terminal uses the selected best communication signal to transmit data and achieve communication with the satellite.

[0055] Finally, the overall quality scores of the high-orbit and low-orbit satellite signals are compared, and the signal with the higher overall quality score is selected as the current optimal communication signal. The handheld satellite terminal uses the selected optimal communication signal to transmit data through the communication module, thus achieving communication with the satellite.

[0056] In one embodiment, the method further includes: continuously monitoring changes in signal quality indicators during communication; and when a significant change in signal quality indicators is detected, recalculating the overall signal quality score and selecting the optimal communication signal to ensure that the optimal communication signal is always selected for communication.

[0057] Figure 2 An embodiment of a dual-mode handheld satellite terminal is illustrated, comprising: an L-band communication module for receiving low-Earth orbit (LEO) satellite signals; an S-band communication module for receiving high-Earth orbit (HEO) satellite signals; and a data processing module (MCU) for executing the aforementioned dual-mode handheld satellite terminal communication method. Applying a signal selection method based on dynamic evaluation of signal quality indicators to the dual-mode handheld satellite terminal enables flexible switching between HEO and LEO satellite signals, fully leveraging the advantages of both types of satellite signals. This improves the communication performance and user experience of the handheld satellite terminal in various complex environments, demonstrating significant practical value and innovation.

[0058] In practical applications, a dual-mode satellite handheld terminal can be an Android-based mobile phone equipped with both L-band and S-band antennas. Its operation and use are no different from a regular Android phone, except that it uses satellite signals for communication. The following section combines... Figure 3 This application provides a detailed explanation of the communication signal selection process for dual-mode handheld satellite terminals based on dynamic evaluation of signal quality indicators.

[0059] The dual-mode satellite handheld terminal is a mobile phone based on the Android system equipped with both L-band and S-band antennas. Its operation and use are no different from a regular Android phone, except that it uses satellite signals for communication. The communication signal selection process for the dual-mode handheld satellite terminal based on dynamic evaluation of signal quality indicators is as follows:

[0060] S1 Terminal Power-On: When the handheld satellite terminal is powered on, or when data needs to be transmitted, it begins searching for networks and enters the S-2 network search.

[0061] S2. Network Search: After the terminal is powered on, it begins to search for available satellite networks and simultaneously receives L-band and S-band signals. S3. The L-band communication module / S-band communication module starts working and receives L / S signals.

[0062] S3, L-band communication module / S-band communication module: The terminal receives signals through L-band and S-band antennas respectively, and processes the signals through their respective communication modules, including amplification, filtering, analog-to-digital conversion, and demodulation. Signal processing in these two bands is performed in parallel, and the demodulated digital signal is transmitted to the terminal MCU processor through the module's serial port.

[0063] S4. Signal Quality Index Extraction: After receiving the digital signal reported by the module, the MCU processor extracts the signal quality index information of the L-band and S-band, including signal strength, signal-to-noise ratio, bit error rate, and other information required by the signal quality comprehensive evaluation algorithm in S7.

[0064] S5. Real-time data monitoring / historical data: The system monitors signal quality indicators in real time and analyzes them in conjunction with historical data to establish a mapping relationship between signal quality indicators and weights.

[0065] S6. Dynamic Weight Adjustment: Based on real-time and historical data, the weights of each signal quality indicator are dynamically adjusted. This step is to adapt to different signal environments and improve the accuracy of the assessment. For example, by analyzing the impact of each signal quality indicator on communication performance under different environmental conditions, initial weight values ​​are determined. Then, machine learning or adaptive algorithms are used to dynamically adjust the weights of each signal quality indicator based on the changing trends of the indicators and the actual application scenario. For example, in environments with strong signal interference, the weight of the signal-to-noise ratio (SNR) is increased through algorithmic adjustment, giving SNR a more significant role in the comprehensive signal quality assessment; in applications with high real-time requirements, the weight of signal delay is increased to more accurately assess the impact of real-time performance on communication performance. The weight values ​​and signal quality indicators are incorporated into S7 - Comprehensive Signal Quality Assessment.

[0066] S7. Comprehensive Signal Quality Assessment: Using adjusted weights, the signal quality of the L-band and S-band is comprehensively assessed, and their respective comprehensive quality scores are calculated. For example, for high-orbit satellite signals, the comprehensive quality score S = w1 × signal strength + w2 × signal-to-noise ratio - w3 × bit error rate - w4 × stability + w5 × delay. Here, w1, w2, w3, w4, and w5 are the weighting coefficients for signal strength, signal-to-noise ratio, bit error rate, stability, and delay, respectively, and are adjusted based on actual test data and application scenarios. For low-orbit satellite signals, the same formula is used to calculate the comprehensive quality score. By comparing the comprehensive quality scores of high-orbit and low-orbit satellite signals, the satellite signal with the best current quality is determined.

[0067] S8. Select the network with the higher overall score: Compare the overall quality scores of the L-band and S-band, and select the network with the higher score as the current communication network.

[0068] S9. Data Transmission: Data is transmitted through the selected optimal network. The data is sent to the corresponding network's S-3 communication module for modulation, digital-to-analog conversion, filtering, and amplification. Then, the data is transmitted into free space using an antenna. Simultaneously, the signal quality of the current network is continuously monitored and reported to S10 to determine if the network signal quality is gradually deteriorating to the point of being unusable, until data transmission ends.

[0069] S10. Current network signal quality gradually deteriorates to unusable status: During data transmission, the current network signal quality is continuously monitored. If the signal quality gradually deteriorates to unusable status, the process returns to S4-S7 to reassess the signal quality and reselect the network. (Because State Grid and Tiantong currently belong to different operator-managed core networks and authentication systems, if the handheld terminal is in the middle of a voice call, it cannot directly switch to another operator's network; the call must be interrupted and the number redialed. Data transmission, however, can be completed seamlessly without the user's awareness through a data interruption and retransmission mechanism.) If the signal quality is available, the network remains unchanged to avoid data transmission congestion caused by frequent network switching.

[0070] The following describes an electronic device embodiment of this application, which can be used to execute the high-precision frequency offset estimation method described in the above embodiments of this application. For details not disclosed in the electronic device embodiments, please refer to the embodiments of the method described in the above application.

[0071] An electronic device according to an embodiment of this application includes: a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed corresponding to the dual-mode handheld satellite terminal communication method described in the first aspect.

[0072] This embodiment also proposes a computer system suitable for implementing the electronic device of this application. The computer system includes a Central Processing Unit (CPU), which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) or a program loaded from storage into random access memory (RAM), such as executing the methods described in the above embodiments. Various programs and data required for system operation are also stored in RAM. The CPU, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0073] The following components are connected to the I / O interface: input sections including keyboards, mice, etc.; output sections including cathode ray tubes (CRTs), liquid crystal displays (LCDs), and speakers; storage sections including hard drives; and communication sections including network interface cards such as LAN (Local Area Network) cards and modems. The communication sections perform communication processing via networks such as the Internet. Drives are also connected to the I / O interface as needed. Removable storage media, such as disks, optical discs, magneto-optical discs, semiconductor memories, etc., are installed on the drives as needed so that computer programs read from them can be installed into the storage section as required.

[0074] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication component, and / or installed from a removable storage medium. When the computer program is executed by a central processing unit (CPU), it performs various functions defined in the system of this application.

[0075] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such transmitted data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0076] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0077] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0078] In another aspect, this application also provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the dual-mode handheld satellite terminal communication method described in the above embodiments.

[0079] In another aspect, this application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or it may exist independently and not assembled into the electronic device. The computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to implement the dual-mode handheld satellite terminal communication method described in the above embodiments.

[0080] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0081] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the method according to the embodiments of this application.

[0082] For those skilled in the art, the specific meanings of the above terms in this invention can be understood according to the specific circumstances; the accompanying drawings in the embodiments are used to clearly and completely describe the technical solutions in the embodiments of this invention. Obviously, the described embodiments are some embodiments of this invention, but not all embodiments. Generally, the components of the embodiments of this invention described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0083] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

[0084] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A dual-mode handheld satellite terminal communication method, characterized in that, include: The dual-mode handheld satellite terminal receives high-orbit and low-orbit satellite signals and processes them into digital signals respectively. Extract the required signal quality indicators from each digital signal; the signal quality indicators include signal strength, signal-to-noise ratio, bit error rate, signal stability, and signal delay; Determine the real-time weights of each signal quality indicator; The overall quality scores for high-orbit and low-orbit satellite signals are determined based on signal quality indicators and their corresponding weights. The signal with the highest overall quality score is selected as the best communication signal. The handheld satellite terminal uses the selected best communication signal to transmit data and achieve communication with the satellite. The determination of the real-time weights of each signal quality indicator specifically includes: establishing a mapping relationship between signal quality indicators and weights based on historical data and real-time monitoring data; adjusting the weights of each signal quality indicator in real time according to the changing trends of the signal quality indicators and the actual application scenarios; wherein, machine learning algorithms or adaptive algorithms are used to adjust the weights of each signal quality indicator in real time. The method for determining the overall quality score includes: weighting and summing the various signal quality indicators of the high-orbit satellite signal and the low-orbit satellite signal, and calculating the overall quality score of the high-orbit satellite signal and the low-orbit satellite signal respectively.

2. The dual-mode handheld satellite terminal communication method according to claim 1, characterized in that, Also includes: During communication, changes in signal quality indicators are continuously monitored. When a significant change in signal quality indicators is detected, the overall signal quality score is recalculated and the optimal communication signal is selected.

3. The dual-mode handheld satellite terminal communication method according to claim 1, characterized in that, The signal strength is obtained by measuring the power of the received signal; the signal-to-noise ratio is determined by calculating the ratio of signal power to noise power; the bit error rate is determined by statistically analyzing the ratio of the number of erroneous bits to the total number of bits during transmission; the signal stability is measured by calculating the standard deviation of the signal strength or signal-to-noise ratio; and the signal delay can be obtained by measuring the time delay from when the signal is transmitted from the satellite to when it is received by the receiving terminal.

4. A dual-mode handheld satellite terminal, characterized in that, include: L-band communication module, used to receive low-Earth orbit satellite signals; S-band communication module, used to receive signals from high-orbit satellites; The data processing module is used to execute the dual-mode handheld satellite terminal communication method according to any one of claims 1 to 3.

5. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed corresponding to the dual-mode handheld satellite terminal communication method as described in any one of claims 1 to 3.

6. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the program instructions are executed by the processor, they are used to implement the process corresponding to the dual-mode handheld satellite terminal communication method according to any one of claims 1 to 3.

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