Radio frequency control method and apparatus for a flip satellite communication device

Abstract

This invention relates to the field of radio frequency (RF) control for intelligent communication terminals, specifically to an RF control method and apparatus for a flip-up satellite communication device. The method includes the following steps: system power-on initialization and full data link self-test; real-time acquisition and preprocessing of multi-source data; morphological state determination and intelligent switching of operating modes; right-hand circularly polarized wave spatial synthesis data control in satellite communication mode; closed-loop dynamic impedance adaptive matching data control using multi-parameter fusion; satellite communication link establishment and data transmission control; long-term updating and optimization of the user-personalized impedance model; and communication task termination and system state reset. This invention achieves coordinated control of RF and morphological aspects, improving the overall performance of the RF system and enhancing the long-term adaptability of the device.

Description

Technical Field

[0001] This invention belongs to the field of radio frequency control of intelligent communication terminals, specifically relating to radio frequency control methods and devices for flip-up satellite communication equipment. Background Technology

[0002] As satellite internet technology fully penetrates the consumer market, integrating geostationary orbit satellite communication capabilities into wrist-worn smartwatches has become a core development direction for the smart wearable industry. Geostationary orbit satellites are approximately 36,000 kilometers above the Earth's surface, resulting in significant free-space path loss during signal transmission. This necessitates ground terminals possessing high antenna radiation efficiency, optimal polarization matching characteristics, stable impedance matching capabilities, and strong anti-interference capabilities.

[0003] Existing technologies, when miniaturizing geostationary orbit satellite communication systems to the form of a flip-up smartwatch, mainly adopt fixed-form radio frequency control schemes. They allocate radio frequency resources based on traditional two-dimensional motherboard layout topology design, and achieve circular polarization wave synthesis through hardware circularly polarized microstrip antennas. Some schemes attempt to use static tunable matching networks to compensate for impedance drift. The core relies on the "form data and optimal impedance" mapping table pre-calibrated in a standard test environment during the production stage for impedance adjustment.

[0004] However, existing radio frequency control methods have the following fundamental drawbacks: Existing fixed-form RF solutions do not incorporate the mechanical adjustment parameters of flip-up devices. The antenna is susceptible to coupling from human tissue and obstruction by internal metal structures, resulting in significant RF energy loss. Traditional RF layouts have high clearance requirements, fragmenting the internal space of the device and making it impossible to simultaneously integrate high-performance satellite communication units and high-capacity energy storage units. Reliance on hardware for circular polarization synthesis is inefficient, and statically pre-calibrated impedance meters cannot adapt to individual user differences and dynamic wearing environments, leading to poor communication reliability and the risk of hardware burnout. Summary of the Invention

[0005] The purpose of this invention is to provide a radio frequency control method for a flip-up satellite communication device, and at the same time, to provide a radio frequency control device for a flip-up satellite communication device, so as to solve the problems mentioned in the background art.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: A radio frequency control method for a flip-up satellite communication device includes the following steps: After the system is powered on, it performs initialization and full data link self-test, and then enters the normal low-power mode. Real-time acquisition of mechanical displacement and sensor data; The equipment status is determined at fixed intervals and divided into three states, with automatic switching of working modes. After entering satellite communication mode, the single radio frequency signal is divided into two paths. One path is directly fed into the first radiation unit, and the other path is fed into the second radiation unit after phase delay, and a right-hand circularly polarized wave is synthesized in free space. Based on real-time multi-source data and pre-calibration mapping table and correction coefficient table, the impedance matching control word is dynamically calculated, and closed-loop control is performed through VSWR feedback. When the parameter deviation exceeds the preset threshold, local self-calibration is initiated. Establish a satellite communication link and transmit data, dynamically adjust the transmission power and radio frequency parameters during transmission, and perform self-calibration periodically; After the communication mission is completed, analyze the impedance matching data, update the user-specific impedance parameter table, optimize the personalized impedance model, shut down satellite communication-related processes in an orderly manner, and restore the normal low-power mode.

[0007] Furthermore, the morphological state determination step specifically involves: reading valid morphological data values ​​at fixed intervals and comparing them with preset first and second morphological thresholds; if Q consecutive determination data values ​​are all less than the first morphological threshold, the state is determined to be closed; if Q consecutive determination data values ​​are between the first and second morphological thresholds, the state is determined to be transitional; if Q consecutive determination data values ​​are between the second morphological threshold and the maximum morphological threshold, the state is determined to be satellite communication.

[0008] Furthermore, the morphological state determination step specifically involves: reading valid morphological displacement data at fixed sampling intervals, calculating the morphological change rate and acceleration, constructing a three-dimensional feature vector, calculating the posterior probability of three states: closure, transition, and satellite communication, updating the cumulative confidence of each state, and suppressing random noise interference; if the cumulative confidence of a certain state exceeds the threshold and continues for M sampling times, it is determined to be the corresponding state.

[0009] Furthermore, the dynamic impedance matching steps are as follows: extract the basic optimal matching control word based on the morphological data range; extract the corresponding correction coefficients based on contact impedance, wearing pressure, sweating status, and ambient temperature level; calculate the comprehensive correction coefficient according to the preset weighted weights; calculate the corrected initial optimal matching control word by combining the basic control word and the comprehensive correction coefficients and send it to the impedance matching adjustment module; collect the antenna port voltage standing wave ratio data in real time and feed it back, and perform maintenance, fine-tuning, or local self-calibration operations according to the standing wave ratio.

[0010] Furthermore, the local self-calibration process specifically includes: locking the current parameter range, traversing the matching control words, recording the corresponding VSWR, filtering the optimal control word, calculating the actual correction coefficient, updating the correction coefficient table, and storing it.

[0011] Furthermore, the optimized personalized impedance model specifically involves: extracting all valid impedance matching and multi-dimensional parameter data from this communication, and filtering out invalid data; classifying and statistically analyzing the data by morphological range and multi-dimensional parameter level, and calculating the average actual optimal matching control word for each category; if the difference between the average control word and the corresponding entry in the user's personalized parameter table exceeds the update threshold, updating the entry; storing the updated personalized parameter table in the user's exclusive data area and binding it to the user's identity; and adjusting the multi-dimensional impedance correction coefficient table incrementally based on the personalized parameter table.

[0012] Furthermore, the right-hand circularly polarized wave synthesis step includes: the baseband signal processing module generates a standard S-band radio frequency carrier digital signal and transmits it to the radio frequency signal distribution module; the single signal is divided into two radio frequency branch digital signals with equal power and consistent phase; the first signal is fed into the first radio frequency radiation unit after fixed matching processing to radiate the first linearly polarized wave; the second signal is fed into the second radio frequency radiation unit after 90-degree precise phase delay and fixed matching processing to radiate the second linearly polarized wave; the two orthogonal linearly polarized waves are vector superimposed in free space to synthesize a right-hand circularly polarized wave.

[0013] Furthermore, the right-hand circularly polarized wave synthesis step also includes: receiving satellite beacon signals and calculating the signal-to-noise ratio; if it is lower than the optimal threshold, fine-tuning the phase delay in small steps until the signal-to-noise ratio meets the standard.

[0014] A radio frequency control device for a flip-up satellite communication device, comprising: The system initialization module is used to perform system power-on initialization and full data link self-test; The data acquisition and preprocessing module is used to acquire multi-source data in real time and perform preprocessing. The form status determination module is used to determine the form status of the device and perform intelligent switching of working modes; A circular polarization synthesis control module is used to achieve spatial synthesis of right-hand circularly polarized waves in satellite communication mode. The dynamic impedance matching module is used to achieve closed-loop dynamic impedance adaptive matching with multi-parameter fusion. The communication link control module is used to establish satellite communication links and control data transmission. The personalized model update module is used to build and optimize user-personalized impedance models; The system status reset module is used to restore the system to its normal state after the communication task is completed.

[0015] Beneficial effects: Enables coordinated control of radio frequency and form factor, establishes a linkage mechanism between device form factor and radio frequency parameters, effectively reduces human interference with the antenna, optimizes internal space utilization, and balances communication performance and battery life.

[0016] To improve the overall performance of the RF system, efficient circular polarization synthesis and closed-loop dynamic impedance matching are achieved through a purely data-driven approach, significantly improving signal transmission quality and communication stability.

[0017] It enhances the long-term adaptability of the device, has online self-calibration and user-personalized model optimization capabilities, can adapt to different usage scenarios and user characteristics, and reduces system power consumption through multi-mode switching. Attached Figure Description

[0018] Figure 1 This is a flowchart of the radio frequency control method for the flip-type satellite communication device of the present invention; Figure 2 This is a flowchart of the system power-on initialization and full data link self-test in an embodiment of the present invention; Figure 3 This is a flowchart illustrating the real-time acquisition and preprocessing of multi-source data in an embodiment of the present invention. Figure 4 This is a flowchart of the morphological state determination and working mode switching based on threshold comparison in an embodiment of the present invention. Figure 5 This is a flowchart of the multi-dimensional dynamic morphological state determination process based on a Bayesian probability model in an embodiment of the present invention. Figure 6 This is a flowchart of the right-hand circularly polarized wave spatial synthesis control in satellite communication mode according to an embodiment of the present invention; Figure 7 This is a flowchart of the closed-loop dynamic impedance adaptive matching control with multi-parameter fusion in an embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0020] This invention provides a radio frequency control method for a flip-up satellite communication device, such as... Figure 1 As shown, the steps include: After the system is powered on, it performs initialization and full data link self-test, and then enters the normal low-power mode. Real-time acquisition of mechanical displacement and sensor data; The equipment status is determined at fixed intervals and divided into three states, with automatic switching of working modes. After entering satellite communication mode, the single radio frequency signal is divided into two paths. One path is directly fed into the first radiation unit, and the other path is fed into the second radiation unit after a 90-degree phase delay, and a right-hand circularly polarized wave is synthesized in free space. Based on real-time multi-source data and pre-calibration mapping table and correction coefficient table, the impedance matching control word is dynamically calculated, and closed-loop control is performed through VSWR feedback. When the parameter deviation is large, local self-calibration is initiated. Establish a satellite communication link and transmit data, dynamically adjust the transmission power and radio frequency parameters during transmission, and perform self-calibration periodically; After the communication mission is completed, analyze the impedance matching data, update the user-specific impedance parameter table, optimize the personalized impedance model, shut down satellite communication-related processes in an orderly manner, and restore the normal low-power mode.

[0021] The technical solutions in the embodiments of the present invention will be described more clearly and completely below in conjunction with the embodiments of the present invention.

[0022] Example 1: This example provides a radio frequency control method for a flip-up satellite communication device, including: S100: System power-on initialization and full data link self-test. After the device is powered on, the central data processing unit executes the system initialization program to complete the parameter configuration and function self-test of all data interfaces, processing modules and storage units to ensure smooth data link.

[0023] The full data link self-test includes self-tests of the mechanical morphology data acquisition interface, radio frequency parameter control interface, satellite communication data processing unit, energy management data interface, multi-dimensional human body and environment parameter acquisition interface, and multi-parameter fusion impedance correction module.

[0024] Specifically, such as Figure 2 As shown, this step includes the following sub-steps: S110: Initialize the mechanical form data acquisition interface, set the sampling rate and transmission format parameters, perform zero-point calibration, and calibrate the fully closed, flat position of the equipment as the reference zero point; S120: Self-test RF parameter control interface, detects the status of RF signal allocation and phase delay control interface, and configures RF parameters to the initial default values ​​for normal communication; S130: Self-test satellite communication data processing unit, load basic firmware and default parameters, and verify the read and write functions of non-volatile memory unit; S140: Self-test energy management data interface, reads the remaining capacity and voltage data of the energy storage unit, and confirms the high voltage output capability; S150: Initialize the multi-dimensional human body and environmental parameter acquisition interface, set the skin contact impedance, the sampling rate and parameters of the wear pressure sensor, and perform zero-point and range calibration; S160: Initialize the multi-parameter fusion impedance correction module, set the weighting of correction coefficients and self-calibration trigger threshold, and initialize the buffer and data queue; S170: Load basic form-impedance mapping table and multi-dimensional impedance correction coefficient table data, verify data integrity, and if damaged, load factory default values ​​and record the error. S180: After the self-test is completed, the device enters the normal low-power mode, shuts down the satellite communication data processing process, only enables the daily communication process, and starts real-time acquisition of mechanical form and multi-dimensional human body environment parameters.

[0025] It is known that through a comprehensive system initialization and self-test process, it is possible to ensure that all modules of the device work normally, avoid communication failures caused by hardware or software malfunctions, and at the same time, by calibrating the fully closed position of the device as the reference zero point, an accurate reference basis is provided for subsequent determination of the form and state.

[0026] It also includes S200: real-time acquisition and preprocessing of multi-source data. The central data processing unit acquires various raw data in real time at a preset sampling rate, eliminates noise and individual sensor differences through moving average filtering and linear calibration, obtains effective data and stores it in a high-speed cache.

[0027] The multi-source data includes mechanical displacement data, skin contact resistance data, wearing pressure data, skin temperature data, and environmental temperature and humidity data.

[0028] Specifically, such as Figure 3 As shown, this step includes the following sub-steps: S210: The mechanical form data acquisition interface outputs an analog voltage signal, which is converted into a digital form signal via analog-to-digital conversion; S220: Transmits digital form signals to the central data processing unit via a standard serial bus; S230: Collects raw analog signals of skin contact impedance, wearing pressure, skin temperature, and ambient temperature and humidity, and converts them into corresponding digital signals via analog-to-digital conversion; S240: Sends all multi-dimensional digital signals to the central data processing unit via a standard serial bus; S250: Performs moving average filtering on the raw data of morphology, contact resistance, pressure, temperature, and temperature and humidity, and sets the corresponding filter window size; S260: Reads factory calibration parameters and performs linear calibration on all multi-dimensional valid data; S270: Stores preprocessed valid data in an internal cache and updates it at fixed time intervals.

[0029] Optionally, the size of the moving average filter window can be adjusted according to the actual application scenario. For example, in a scenario with intense motion, the filter window can be appropriately increased to improve data stability, while in a static scenario, the filter window can be appropriately decreased to improve response speed.

[0030] It also includes S300: form status determination and intelligent switching of working mode. The central data processing unit determines the form status of the equipment according to a fixed period and divides it into three states: closed, transition and satellite communication. It automatically performs mode switching to balance system resources and power consumption.

[0031] The morphological state determination is based on comparing the preprocessed mechanical morphological data with a preset morphological threshold.

[0032] Specifically, such as Figure 4 As shown, this step includes the following sub-steps: S310: Read the valid morphological data value at fixed intervals and compare it with the preset first and second morphological thresholds; S320: If the data for Q consecutive determinations is less than the first form threshold, it is determined to be in a closed state, and the normal low-power mode is maintained. S330: If the data for Q consecutive judgments is between the thresholds of the first and second forms, it is judged as a transitional state. The normal mode is maintained and data changes are continuously monitored. S340: If the data for Q consecutive determinations is between the second form threshold and the maximum form threshold, it is determined to be in satellite communication state, and the activation operation is performed: start high-voltage power output, wake up satellite communication data processing unit, close unnecessary processes, and configure initial radio frequency parameters for satellite communication. S350: If the data is less than the second-mode threshold for Q consecutive times in satellite communication mode, execute the satellite communication mode shutdown operation: terminate the communication task, cut off the high voltage supply, hibernate the satellite communication unit, and resume the normal communication process.

[0033] For example, the first morphology threshold can be set to 10 degrees, the second morphology threshold can be set to 45 degrees, the maximum morphology threshold can be set to 90 degrees, and the number of consecutive judgments Q can be set to 3. When the device flips to more than 45 degrees and the judgment data is ≥45 degrees for 3 consecutive times, it is determined that it has entered the satellite communication state.

[0034] In a further embodiment, considering the dynamic characteristics of morphological changes and distinguishing between user-initiated flipping and passive displacement, there is a risk of mode switching delay or false triggering. A multi-dimensional dynamic morphological state determination method is proposed, which quantifies state confidence through a probabilistic model, filters random noise and passive interference, and significantly improves the accuracy and robustness of the determination. Specifically, such as... Figure 5 As shown, it includes the following sub-steps: S310′: Read effective morphological displacement data at fixed sampling intervals, calculate the morphological change rate and acceleration, and construct a three-dimensional feature vector; S320′: Calculate the posterior probabilities of three states: closure, transition, and satellite communication, based on a Bayesian probability model; S330′: The cumulative confidence of each state is updated using the exponential moving average method to suppress random noise interference; S340′: If the cumulative confidence of a certain state exceeds the threshold and continues for M sampling times, it is determined to be the corresponding state; S350′: When the satellite communication state is determined, the activation operation is performed, which starts the high-voltage power output, wakes up the satellite communication data processing unit, closes unnecessary processes, and configures the initial radio frequency parameters. S360′: If the confidence level of the closed state meets the standard and continues for M time periods under satellite communication status, execute the mode shutdown operation to terminate the communication task, cut off the high voltage supply, hibernate the satellite communication unit, and resume the normal communication process.

[0035] In specific implementation, the central difference method is used in S310′ to calculate the velocity and acceleration of morphological changes, and the formula is as follows: ; ; in, For the first Each sampling time The preprocessed mechanical displacement data represents the equipment's flipping angle. The preprocessing includes moving average filtering and noise reduction of the original mechanical displacement data and linear calibration of factory parameters to obtain stable, accurate and effective displacement data. For the first Each sampling time The corresponding rate of change of the mechanical form of the equipment; For the first Each sampling time The corresponding acceleration of the mechanical changes in the equipment; For the first Each sampling time Preprocessed mechanical displacement data; For the first Each sampling time Preprocessed mechanical displacement data; The data sampling interval is the time difference between two adjacent sampling times. The sampling time sequence number; This represents the total number of sampling points for the preprocessed continuous mechanical displacement data.

[0036] In each fixed sampling period, the preprocessed mechanical displacement data, the corresponding moment-to-moment morphological change velocity data and morphological change acceleration data are combined into a three-dimensional numerical vector to construct a three-dimensional feature vector, which is used as the input of the Bayesian probability model to calculate the posterior probability of the three states: closure, transition, and satellite communication.

[0037] In specific implementation, the Bayesian posterior probability calculation in S320′ includes: Let the three states be: These correspond to the closed, transitional, and satellite communication states, respectively. Based on the feature vector at the current moment... Calculate the posterior probability of each state: ; in, In order to observe three-dimensional feature vectors Under these conditions, the equipment is in a state of readiness. The posterior probability; For the device's first Types of morphological states, among which These correspond to the closed state, the transition state, and the satellite communication state, respectively. The device is in a state The prior probability, with initial values ​​obtained from statistics during the production phase, for example, is set to... , , The subsequent updates are based on the posterior probability from the previous time step. It is a likelihood function, representing the state of the device. Observed eigenvectors The probability of; To , , Summation operation is performed on the three device states; , To correspond to the first The likelihood function and prior probability under each state.

[0038] Likelihood function It follows a three-dimensional Gaussian distribution, that is: ; in, For state The corresponding three-dimensional feature covariance matrix, For state The corresponding three-dimensional feature covariance matrix The determinant, Covariance matrix The inverse matrix, For state The corresponding three-dimensional feature mean vector.

[0039] Mean vector The average values ​​of displacement, velocity, and acceleration in each state are described and obtained through statistical fitting of numerous user measurements before mass production. For example, in a closed state... The equipment was basically flat and showed no obvious signs of flipping. This indicates an average flip angle of 5.0°, an average velocity of 0.2° / s, and an average acceleration of 0.05° / s²; transition state. The device is slowly flipping, somewhere between a closed state and a satellite communication orientation. This indicates an average flip angle of 25.0°, an average velocity of 3.5° / s, and an average acceleration of 1.2° / s²; satellite communication status. The equipment flipped into place and remained stable with almost no dynamic changes. This indicates an average flip angle of 60.0°, an average velocity of 0.3° / s, and an average acceleration of 0.08° / s².

[0040] covariance matrix Describing the dispersion and pairwise correlation of angle, velocity, and acceleration under the same state, this is obtained from statistical analysis of massive amounts of measured data during the production phase, using a 3rd-order symmetric positive definite matrix, for example, in a closed state. The covariance matrix is ​​stable with minimal fluctuations, and the three components (covariance, attitude, and volatility) are weakly correlated. The diagonal lines represent the variance of each feature (angle fluctuation 1.2, velocity fluctuation 0.04, acceleration fluctuation 0.01), while the off-diagonal lines represent the covariance between pairs of features, characterizing the degree of correlation; transition state The covariance matrix, when artificially flipped, exhibits large fluctuations and strong correlations in angle, velocity, and acceleration. Satellite communication status The covariance matrix, after being flipped and frozen, shows that the attitude stabilizes again, and the fluctuations return to a smaller level. .

[0041] During implementation, and By substituting the three-dimensional Gaussian likelihood function, the likelihood probability of each state can be calculated. Then, the posterior probability and cumulative confidence can be obtained by using Bayes' theorem to complete the intelligent determination of morphological state.

[0042] In specific implementation, the cumulative update of state confidence in S330′ adopts the exponential moving average method to accumulate state confidence and suppress instantaneous noise. The formula is as follows: ; in, for Moment State The cumulative confidence level, The smoothing coefficient of the exponential moving average has a range of values. For example, take .

[0043] In specific implementation, the S340′ state transition determination includes: like and (e.g., confidence threshold) ), and this state continues consecutive sampling times (e.g.) If the current state is determined to be... ; in, for The cumulative confidence level of the device being in a closed state at any given time. for The cumulative confidence level of the device in a transitional state at any given time. for The cumulative confidence level of the device being in satellite communication status at any given time.

[0044] If the current status is satellite communication ,and continued At that moment, immediately execute the satellite communication mode shutdown operation; If the confidence level of any state is lower than The previous effective state remains unchanged.

[0045] The output result is the currently determined device state. And the corresponding operating mode switching instructions.

[0046] It also includes S400: right-hand circularly polarized wave spatial synthesis data control in satellite communication mode. After the device enters satellite communication mode, it synthesizes high-purity right-hand circularly polarized waves in free space through signal power allocation and precise phase delay processing, and fine-tunes the phase according to the signal-to-noise ratio of the beacon signal.

[0047] The spatial synthesis of right-hand circularly polarized waves is achieved through the vector superposition of two orthogonal linearly polarized waves.

[0048] Specifically, such as Figure 6 As shown, this step includes the following sub-steps: S410: The baseband signal processing module generates a standard-compliant S-band radio frequency carrier digital signal and transmits it to the radio frequency signal distribution module; S420: Divides a single signal into two equal-power, phase-consistent radio frequency digital signals; S430: The first signal is fed into the first radio frequency radiation unit after fixed matching processing, and radiates the first line polarized wave; S440: The second signal, after undergoing a precise 90-degree phase delay and fixed matching, is fed into the second radio frequency radiation unit to radiate the second line polarized wave; S450: Two orthogonal linearly polarized waves are vectored in free space to synthesize a right-hand circularly polarized wave; S460: Receives satellite beacon signals and calculates the signal-to-noise ratio (SNR). If the SNR is lower than the optimal threshold, it fine-tunes the phase delay in small steps until the SNR meets the target.

[0049] It is known that spatial synthesis of right-hand circularly polarized waves can be achieved through a purely data-driven approach, without the need for complex hardware circularly polarized antenna structures. This can effectively save internal space in the equipment while improving polarization synthesis efficiency and polarization purity.

[0050] It also includes S500: multi-parameter fusion closed-loop dynamic impedance adaptive matching data control. The central data processing unit combines real-time multi-source data with pre-calibration mapping table and correction coefficient table to dynamically calculate and adjust impedance matching parameters. Closed-loop control is performed through VSWR feedback. When the parameter deviation is large, local self-calibration is initiated.

[0051] The multi-parameter fusion includes the fusion of mechanical morphology data, skin contact resistance data, wearing pressure data, sweating status data, and ambient temperature data.

[0052] Specifically, such as Figure 7 As shown, this step includes the following sub-steps: S510: Production stage pre-calibration basic form - impedance mapping table and multi-dimensional impedance correction coefficient table, stored in non-volatile memory unit; S520: Real-time acquisition of various types of preprocessed valid data; S530: Extract the corresponding basic optimal matching control word based on the morphological data range; S540: Extract corresponding correction coefficients based on contact impedance, wearing pressure, sweating status, and ambient temperature level; S550: Calculate the comprehensive correction coefficient according to the preset weighted weights; S560: Calculate the basic control word with the comprehensive correction coefficient to obtain the corrected initial optimal matching control word and perform rounding and amplitude limiting processing; S570: Sends the control word to the impedance matching parameter adjustment module; S580: Adjust the module to reconstruct the equivalent impedance of the antenna feed terminal and initially compensate for impedance drift; S590: Real-time acquisition and feedback of antenna port voltage standing wave ratio data; S5100: If VSWR ≤ optimal threshold, maintain the current control word; S5110: If the optimal threshold < VSWR ≤ fine-tuning threshold, fine-tune the control word in two directions with small steps until the VSWR converges; S5120: If the VSWR > fine-tuning threshold, start the local impedance scan self-calibration process: lock the current parameter range, traverse the matching control word, record the corresponding VSWR, filter the optimal control word, calculate the actual correction coefficient, update the correction coefficient table and store it. S5130: Repeat the above steps to achieve closed-loop adaptive impedance adjustment.

[0053] Optionally, the weighting of the correction coefficient can be adjusted according to the actual application scenario. For example, in sports scenarios where sweating is excessive, the weight of the sweating correction coefficient can be appropriately increased.

[0054] It also includes S600: satellite communication link establishment and data transmission control. After completing the radio frequency parameter configuration, it initiates a satellite network access request to establish a communication link, dynamically adjusts the transmission power and radio frequency parameters during transmission, and performs self-calibration periodically.

[0055] Specifically, this step includes the following sub-steps: S610: Scans satellite downlink frequency bands and searches for synchronization signals; S620: Completes carrier and frame synchronization, and parses satellite system information and timing parameters; S630: Sends a network access request data frame, which includes device identity and communication capability information; S640: Receives satellite network access confirmation, allocates communication resources, and establishes a two-way link; S650: Performs voice, SMS or data transmission according to user instructions, and monitors link quality parameters in real time; S660: Dynamically adjusts transmit power based on link quality to reduce energy consumption; S670: Continuously acquires multi-source data and adjusts impedance matching and polarization synthesis parameters in real time; S680: Performs active local self-calibration at fixed intervals; S690: If the link quality deteriorates to the minimum threshold and cannot be recovered, automatically initiate a link reconstruction request.

[0056] It also includes S700: long-term updates and optimizations of user-personalized impedance models. After the communication task is completed, the impedance matching data is analyzed, the user-personalized impedance parameter table is updated, and the personalized impedance model is gradually built and optimized.

[0057] Specifically, this step includes the following sub-steps: S710: Extract all effective impedance matching and multi-dimensional parameter data from this communication and organize them into a dataset; S720: Filter out invalid data and retain valid data with VSWR in the optimal range; S730: Classify and statistically analyze data according to morphological data range and multi-dimensional parameter levels, and calculate the average actual optimal matching control word for each category; S740: If the difference between the average control word and the corresponding entry in the user-personalized parameter table exceeds the update threshold, update the entry. S750: Stores the updated personalized parameter table in the user's exclusive data area and binds it to the user's identity; S760: Incrementally adjusts the multi-dimensional impedance correction coefficient table based on the personalized parameter table; S770: Retain the dataset from the most recent N communications; if the dataset exceeds this limit, remove the oldest data.

[0058] It also includes S800: communication task completion and system state reset. When the communication task is completed or the satellite communication state is exited, the relevant processes are closed in an orderly manner, data is stored, resources are released, and the normal low-power mode is restored.

[0059] Specifically, this step includes the following sub-steps: S810: Generates and sends a link termination request signal to notify the satellite to release communication resources; S820: Confirmation of satellite link failure; S830: Shut down the high-voltage supply to the satellite communication radio frequency unit and stop signal transmission and reception; S840: Performs user-customized impedance model update operation; S850: Sets the satellite communication data processing unit to deep sleep mode to save relevant data; S860: Resume normal communication process and restore RF parameters to their initial default state; S870: If the device is in a closed state, further reduce power consumption and enter low-power standby.

[0060] This embodiment realizes the radio frequency control of the flip-up satellite communication device through a purely data-driven approach, establishes a precise linkage mechanism between mechanical morphology data and radio frequency parameters, effectively reduces human interference with the antenna, optimizes internal space utilization, and balances communication performance and battery life.

[0061] Example 2: Based on Example 1, this example further refines the exception handling process and multi-user adaptation mechanism.

[0062] The system includes step S900: system exception handling process, which monitors the working status of each module in real time during equipment operation and performs corresponding exception handling operations when an exception is detected.

[0063] System anomalies include data acquisition anomalies, radio frequency control anomalies, satellite communication anomalies, and energy management anomalies.

[0064] Specifically, this step includes the following sub-steps: S910: Real-time monitoring of the output status of each data acquisition interface; if an abnormal data acquisition is detected, the corresponding interface is reinitialized and a calibration operation is performed. S920: Real-time monitoring of the feedback status of the RF parameter control interface. If an RF control abnormality is detected, the RF parameters are reset and the impedance matching process is re-executed. S930: Monitors the status of satellite communication links in real time. If a communication anomaly is detected, it automatically initiates a link reconstruction request. If the reconstruction fails, it prompts the user to check the device status. S940: Monitors the voltage and remaining capacity of the energy storage unit in real time. If insufficient energy is detected, it automatically shuts down the satellite communication function and prompts the user to charge.

[0065] It also includes the S1000: multi-user adaptation mechanism, which automatically identifies the user's identity and loads the corresponding personalized impedance model when the device is used by multiple users.

[0066] Specifically, this step includes the following sub-steps: S1010: Obtains the user's biometric information through the biometric recognition module; S1020: Compare the acquired biometric information with the pre-stored user biometric database; S1030: If the comparison is successful, load the corresponding user's personalized impedance parameter table and correction coefficient table; S1040: If the comparison fails, create a new user account and initialize a blank personalized impedance model.

[0067] Optionally, the biometric identification module can use fingerprint recognition, facial recognition, or vein recognition.

[0068] This embodiment improves the stability and reliability of equipment operation through a comprehensive exception handling process; and through a multi-user adaptation mechanism, the equipment can meet the usage needs of multiple users simultaneously, thus improving the equipment's versatility.

[0069] Example 3: This example provides a radio frequency control device for a flip-up satellite communication device, used to implement the radio frequency adaptive control method described in the above examples.

[0070] The device includes: The system initialization module is used to perform system power-on initialization and full data link self-test; The data acquisition and preprocessing module is used to acquire multi-source data in real time and perform preprocessing. The form status determination module is used to determine the form status of the device and perform intelligent switching of working modes; A circular polarization synthesis control module is used to achieve spatial synthesis of right-hand circularly polarized waves in satellite communication mode. The dynamic impedance matching module is used to achieve closed-loop dynamic impedance adaptive matching with multi-parameter fusion. The communication link control module is used to establish satellite communication links and control data transmission. The personalized model update module is used to build and optimize user-personalized impedance models; The system status reset module is used to restore the system to its normal state after the communication task is completed.

[0071] The modules interact with each other via an internal bus.

[0072] Specifically: The system initialization module is connected to the data acquisition and preprocessing module, the morphology and state determination module, the circular polarization synthesis control module, the dynamic impedance matching module, the communication link control module, the personalized model update module, and the system state reset module, respectively. The data acquisition and preprocessing module is connected to the morphology and state determination module, the dynamic impedance matching module, and the personalized model update module, respectively. The morphology and state determination module is connected to the circular polarization synthesis control module, the dynamic impedance matching module, and the communication link control module, respectively. The circular polarization synthesis control module is connected to the communication link control module; The dynamic impedance matching module is connected to the communication link control module; The communication link control module is connected to the personalized model update module; The personalized model update module is connected to the system status reset module.

[0073] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make substitutions for some of the technical features. Any modifications, substitutions, or improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A radio frequency control method for a flip-up satellite communication device, characterized in that, Includes the following steps: After the system is powered on, it performs initialization and full data link self-test, and then enters the normal low-power mode. Real-time acquisition of mechanical displacement and sensor data; determination of equipment status at fixed intervals; classification into three states; automatic switching of working modes. After entering satellite communication mode, the single radio frequency signal is divided into two paths. One path is directly fed into the first radiation unit, and the other path is fed into the second radiation unit after phase delay, and a right-hand circularly polarized wave is synthesized in free space. Based on real-time multi-source data and pre-calibration mapping table and correction coefficient table, the impedance matching control word is dynamically calculated, and closed-loop control is performed through VSWR feedback. When the parameter deviation exceeds the preset threshold, local self-calibration is initiated. Establish a satellite communication link and transmit data, dynamically adjust the transmission power and radio frequency parameters during transmission, and perform self-calibration periodically; After the communication mission is completed, analyze the impedance matching data, update the user-specific impedance parameter table, optimize the personalized impedance model, shut down satellite communication-related processes in an orderly manner, and restore the normal low-power mode.

2. The radio frequency control method for the flip-type satellite communication device according to claim 1, characterized in that, The specific steps for determining the morphological state are as follows: valid morphological data values ​​are read at fixed intervals and compared with preset first and second morphological thresholds; if the data values ​​are all less than the first morphological threshold for Q consecutive times, it is determined to be a closed state; if the data values ​​are between the first and second morphological thresholds for Q consecutive times, it is determined to be a transitional state; if the data values ​​are between the second morphological threshold and the maximum morphological threshold for Q consecutive times, it is determined to be a satellite communication state.

3. The radio frequency control method for the flip-type satellite communication device according to claim 1, characterized in that, The specific steps for determining the morphological state are as follows: valid morphological displacement data are read at fixed sampling intervals, the morphological change rate and acceleration are calculated, a three-dimensional feature vector is constructed, the posterior probability of three states (closed, transition, and satellite communication) is calculated, the cumulative confidence of each state is updated, and random noise interference is suppressed; if the cumulative confidence of a certain state exceeds the threshold and continues for M sampling times, it is determined to be the corresponding state.

4. The radio frequency control method for the flip-up satellite communication device according to claim 2 or 3, characterized in that, The dynamic impedance matching steps are as follows: extract the basic optimal matching control word based on the morphological data range; extract the corresponding correction coefficients based on contact impedance, wearing pressure, sweating status, and ambient temperature level; and calculate the comprehensive correction coefficient according to the preset weighted weights. The basic control word is calculated with the comprehensive correction coefficient to obtain the corrected initial optimal matching control word, which is then sent to the impedance matching adjustment module. The system collects and feeds back the antenna port voltage standing wave ratio (VSWR) data in real time, and performs maintenance, fine-tuning, or local self-calibration operations based on the VSWR value.

5. The radio frequency control method for the flip-type satellite communication device according to claim 1, characterized in that, The local self-calibration process specifically involves: locking the current parameter range, traversing the matching control words, recording the corresponding VSWR, filtering the optimal control word, calculating the actual correction coefficient, updating the correction coefficient table, and storing it.

6. The radio frequency control method for the flip-type satellite communication device according to claim 1, characterized in that, The optimized personalized impedance model specifically involves: extracting all valid impedance matching and multi-dimensional parameter data from this communication, filtering out invalid data; classifying and statistically analyzing data according to morphological data ranges and multi-dimensional parameter levels, and calculating the average actual optimal matching control word for each category. If the difference between the average control word and the corresponding entry in the user-personalized parameter table exceeds the update threshold, update the entry. The updated personalized parameter table is stored in the user's exclusive data area and bound to the user's identity; The multi-dimensional impedance correction coefficient table is adjusted incrementally based on the personalized parameter table.

7. The radio frequency control method for the flip-up satellite communication device according to claim 1, characterized in that, The right-hand circularly polarized wave synthesis step includes: the baseband signal processing module generates a standard S-band radio frequency carrier digital signal and transmits it to the radio frequency signal distribution module; the single signal is divided into two radio frequency branch digital signals with equal power and consistent phase; the first signal is fed into the first radio frequency radiation unit after fixed matching processing to radiate the first linearly polarized wave; the second signal is fed into the second radio frequency radiation unit after 90-degree precise phase delay and fixed matching processing to radiate the second linearly polarized wave; the two orthogonal linearly polarized waves are vector superimposed in free space to synthesize a right-hand circularly polarized wave.

8. The radio frequency control method for the flip-up satellite communication device according to claim 7, characterized in that, The right-hand circularly polarized wave synthesis step further includes: receiving satellite beacon signals and calculating the signal-to-noise ratio; if it is lower than the optimal threshold, fine-tuning the phase delay in small steps until the signal-to-noise ratio meets the target.

9. An apparatus for using the radio frequency control method of the flip-up satellite communication device according to claim 1, characterized in that, include: The system initialization module is used to perform system power-on initialization and full data link self-test; The data acquisition and preprocessing module is used to acquire multi-source data in real time and perform preprocessing. The form status determination module is used to determine the form status of the device and perform intelligent switching of working modes; A circular polarization synthesis control module is used to achieve spatial synthesis of right-hand circularly polarized waves in satellite communication mode. The dynamic impedance matching module is used to achieve closed-loop dynamic impedance adaptive matching with multi-parameter fusion. The communication link control module is used to establish satellite communication links and control data transmission. The personalized model update module is used to build and optimize user-personalized impedance models; The system status reset module is used to restore the system to its normal state after the communication task is completed.

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