A method and system for processing radio frequency signals of a high-frequency transceiver chip

By collecting and analyzing RF signals in the RF transceiver chip, determining the effective split control node and optimal transmission channel, and adjusting the processing parameters, the problem of insufficient processing timeliness during RF signal transmission is solved, and signal transmission efficiency and quality are improved.

CN119254264BActive Publication Date: 2025-02-18GUANGZHOU HANCHEN INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202411746479.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-02
Publication Date
2025-02-18
Estimated Expiration
2044-12-02

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Abstract

The present invention discloses a method and system for processing radio frequency signals of a high-frequency transceiver chip, which relates to the field of signal transmission technology, and includes the following steps: analyzing the characteristic values ​​of radio frequency signals of each sub-control node, determining the radio frequency signal labels of each sub-control node, obtaining effective radio frequency signal data of the sub-control node, determining the optimal channel for radio frequency signal transmission, analyzing the index parameters for comprehensive processing evaluation of radio frequency signals, and adjusting the execution parameters for radio frequency signal processing. The present invention can more comprehensively and accurately understand the quality level of radio frequency signals, accurately determine the optimal channel for radio frequency signal transmission, and improve the efficiency and quality of signal transmission. At the same time, it can flexibly adjust the execution parameters for radio frequency signal processing to adapt to different signal processing requirements, thereby improving the effectiveness and adaptability of signal processing.
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Description

Technical Field

[0001] The present invention relates to the field of signal transmission technology, and in particular to a method and system for processing radio frequency signals of a high-frequency transceiver chip. Background Art

[0002] In the context of the rapid development of modern communication technology, with the widespread application of wireless communication equipment and the continuous improvement of communication quality and efficiency requirements, the RF signals generated by high-frequency transceiver chips require more accurate and efficient processing methods.

[0003] Prior art, such as the invention patent with announcement number: CN117713870B, is a multi-antenna RF transceiver switch circuit and RF chip, which discloses a multi-antenna RF transceiver switch circuit and RF chip. The multi-antenna RF transceiver switch circuit includes an antenna port, a transceiver matching module, a switch module and a RF port electrically connected in sequence; the antenna port includes at least 3, the transceiver matching module includes at least 3, the switch module includes at least one, the input end of each transceiver matching module is respectively connected to an antenna port, and the output end of the transceiver matching module is connected to the input end of the switch module; each transceiver matching module includes a first inductor and a first capacitor, the first end of the first inductor is connected to the first end of the first capacitor and serves as the input end of the transceiver matching module, the second end of the first capacitor is grounded, and the second end of the first inductor serves as the output end of the transceiver matching module.

[0004] The prior art, such as the invention patent with announcement number: CN111245472B, is a radio frequency transceiver chip, a synchronization system and method for radio frequency transceiver chips, including: a mixer, an analog-to-digital converter, a receiving local oscillator unit, a transmitting local oscillator unit, a digital-to-analog converter and a digital unit. The receiving link is a zero intermediate frequency architecture, composed of a mixer and an analog-to-digital converter, and the receiving local oscillator unit is a fractional frequency synthesizer; the transmitting link is a radio frequency direct acquisition architecture, composed of a digital-to-analog converter, and the transmitting local oscillator unit is an integer frequency synthesizer; the inputs of the fractional frequency synthesizer and the integer frequency synthesizer are reference clocks and synchronization signals. When synchronizing multiple chips, the integer frequency synthesis of the transmitting link is synchronized first, and then the fractional frequency synthesis of the receiving link is synchronized; the fractional frequency synthesis synchronization includes the synchronization of the fractional frequency division module and the synchronization of the multi-mode frequency division module.

[0005] It can be seen from the above scheme that in actual application scenarios, RF signals will be affected by many factors, such as changes in the quality of RF signals during actual transmission, which will affect the transmission effect of RF signals and is not conducive to improving the performance of RF transceiver chips in actual applications. However, the current analysis of RF transceiver chips often focuses on the circuit structure and basic function implementation of the chip itself, which will lead to defects such as insufficient timeliness in the signal transmission process of the RF transceiver chip. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a method and system for processing radio frequency signals of a high-frequency transceiver chip, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a method for processing radio frequency signals of a high radio frequency transceiver chip, which is characterized in that it includes the following steps: S1, within a preset monitoring period, the regional edge receiver collects the radio frequency signals of the high radio frequency transceiver chips of each sub-control node for spectrum analysis to obtain the characteristic values ​​of the radio frequency signals of each sub-control node.

[0008] S2, determining the radio frequency signal label of each sub-control node according to the radio frequency signal characteristic value of each sub-control node, wherein the radio frequency signal label of each sub-control node includes a valid sub-control node and an invalid sub-control node, thereby counting each valid sub-control node, and summarizing and processing the data of the radio frequency signal of the valid sub-control node at the regional edge receiver.

[0009] S3, collecting the state parameters of each communication channel between the regional edge receiver and the central controller, and determining the optimal channel for RF signal transmission according to the RF signal data of the effective sub-control nodes.

[0010] S4, analyzing and processing the radio frequency signal received by the central controller, acquiring radio frequency signal processing parameters, analyzing and processing them to obtain radio frequency signal comprehensive processing evaluation indicator parameters, and adjusting radio frequency signal processing execution parameters based on the radio frequency signal comprehensive processing evaluation indicator parameters.

[0011] The second aspect of the present invention provides a system for processing radio frequency signals of high radio frequency transceiver chips, characterized in that it includes: a radio frequency signal analysis module, which is used for collecting radio frequency signals of high radio frequency transceiver chips of each sub-control node by a regional edge receiver within a preset monitoring period for spectrum analysis to obtain the characteristic values ​​of the radio frequency signals of each sub-control node.

[0012] The effective sub-control node analysis module is used to determine the radio frequency signal label of each sub-control node according to the radio frequency signal characteristic value of each sub-control node, and the radio frequency signal label of each sub-control node includes an effective sub-control node and an invalid sub-control node, thereby counting each effective sub-control node and summarizing and processing them at the regional edge receiver to obtain the radio frequency signal data of the effective sub-control node.

[0013] The module for determining the optimal channel for RF signal transmission is used to collect the status parameters of each communication channel between the regional edge receiver and the central controller, and determine the optimal channel for RF signal transmission based on the RF signal data of the effective sub-control nodes.

[0014] The RF signal processing execution parameter adjustment module is used to analyze and process the RF signal received by the central controller, obtain the RF signal processing parameters for analysis and processing to obtain the RF signal comprehensive processing evaluation indicator parameters, and adjust the RF signal processing execution parameters based on the RF signal comprehensive processing evaluation indicator parameters.

[0015] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:

[0016] (1) The present invention provides a method and system for processing radio frequency signals of a high-frequency transceiver chip. By collecting the radio frequency signals of the high-frequency transceiver chips of each sub-control node through a regional edge receiver for spectrum analysis, the quality level of the radio frequency signal can be understood more comprehensively and accurately, and the optimal channel for radio frequency signal transmission can be accurately determined, thereby improving the efficiency and quality of signal transmission. At the same time, the radio frequency signal processing execution parameters can be flexibly adjusted to adapt to different signal processing requirements, thereby improving the effectiveness and adaptability of signal processing.

[0017] (2) The present invention can clearly divide each sub-control node into a valid sub-control node and an invalid sub-control node by determining the RF signal label of each sub-control node according to the RF signal characteristic value of each sub-control node, which is helpful for the subsequent centralized processing and analysis of the valid nodes and avoids the interference of the invalid nodes on the overall signal processing. At the same time, the statistics of the RF signal data of the valid sub-control nodes provide an important basis for further analysis of the optimal channel for RF signal transmission, making data processing more targeted and efficient, and being able to better optimize the signal transmission path and processing strategy according to the actual situation.

[0018] (3) The present invention determines the optimal channel for RF signal transmission based on the RF signal data of the effective sub-control nodes, and can comprehensively evaluate the advantages and disadvantages of each communication channel for RF signal transmission, reduce the interference to the signal during the transmission process, improve the integrity and accuracy of the signal, thereby improving the signal transmission quality. At the same time, the signal can be preferentially transmitted through the most suitable channel, avoiding the waste of resources on channels with poor quality.

[0019] (4) The present invention can achieve accurate optimization of signal processing by adjusting the RF signal processing execution parameters based on the RF signal comprehensive processing evaluation indicator parameters, thereby avoiding unnecessary waste of resources. At the same time, the optimized signal processing can also reduce signal retransmission and other situations, further improving the efficiency of resource utilization, including computing resources, storage resources, and communication channel resources.

[0020] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0022] Figure 2 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] See also Figure 1 As shown, an embodiment of the present invention provides a method for processing radio frequency signals of a high radio frequency transceiver chip, which is characterized in that it includes the following steps: S1, within a preset monitoring period, a regional edge receiver collects the radio frequency signals of the high radio frequency transceiver chips of each sub-control node for spectrum analysis to obtain the characteristic values ​​of the radio frequency signals of each sub-control node.

[0025] It should be noted that the regional edge receiver is a device that is responsible for collecting the radio frequency signals of the high-frequency transceiver chips of each sub-control node and performing spectrum analysis at the edge of a specific area.

[0026] In this embodiment, the characteristic value of the radio frequency signal of each sub-control node is obtained, and the specific analysis process is as follows: the regional edge receiver collects the radio frequency signal of the high-frequency transceiver chip of each sub-control node for spectrum analysis to obtain the radio frequency signal quality data of each sub-control node.

[0027] It should be noted that the RF signal quality data of each sub-control node can be obtained by performing spectrum analysis on the signal and extracting it from the spectrum analysis results, or it can be collected and analyzed using external monitoring equipment of a high-RF transceiver chip. The external monitoring equipment of the high-RF transceiver chip includes a spectrum analyzer, a power meter, etc.

[0028] The radio frequency signal quality data of each sub-control node includes the signal strength, bit error rate, frequency bandwidth, frequency variation, signal-to-noise ratio and phase noise of the radio frequency signal of each sub-control node.

[0029] It should be understood that the signal strength refers to a measure of the energy of a radio frequency signal during propagation, which is used to reflect the strength of the signal and is measured in decibels.

[0030] The bit error rate refers to the ratio of the number of erroneous code elements to the total number of transmitted code elements during the transmission of RF signals.

[0031] Frequency bandwidth refers to the frequency range occupied by the RF signal, indicating the width of the signal on the frequency axis.

[0032] The frequency variation refers to the difference between the maximum and minimum values ​​of the frequency of the RF signal within a preset monitoring period.

[0033] The signal-to-noise ratio refers to the ratio of the signal power to the noise power in the RF signal.

[0034] According to the radio frequency signal quality data of each sub-control node, the radio frequency signal characteristic value of each sub-control node is obtained through analysis and processing.

[0035] The characteristic value of the radio frequency signal of each sub-control node is a numerical result of quantifying the quality data of the radio frequency signal of each sub-control node, and is used to characterize the quality level of the radio frequency signal of each sub-control node.

[0036] In a specific embodiment, the characteristic value of the radio frequency signal of each sub-control node is obtained in the following manner:

[0037] Extract the radio frequency signal reference quality data preset in the database, wherein the radio frequency signal reference quality data includes a reference signal strength, a reference bit error rate, a reference frequency bandwidth, a reference frequency variation, a reference signal-to-noise ratio and a reference phase noise of the radio frequency signal.

[0038] It should be noted that the radio frequency signal reference quality data is obtained by averaging historical data of radio frequency signal quality data before establishing the database.

[0039] ,

[0040] in, is the characteristic value of the RF signal of the jth sub-control node, is the signal strength of the RF signal of the jth sub-control node, is the reference signal strength of the RF signal, is the bit error rate of the RF signal of the jth sub-control node, is the reference bit error rate of the RF signal, is the frequency bandwidth of the RF signal of the jth sub-control node, is the reference frequency bandwidth of the RF signal, is the frequency change of the RF signal of the jth sub-control node, is the reference frequency change of the RF signal, is the signal-to-noise ratio of the RF signal of the jth sub-control node, is the reference signal-to-noise ratio of the RF signal, is the phase noise of the RF signal of the jth sub-control node, is the reference phase noise of the RF signal, is the signal strength weight, is the bit error rate weight, is the frequency bandwidth weight, is the frequency variation weight, is the signal-to-noise ratio weight, is the phase noise weight, j is the number of each sub-control node, , n is the number of sub-control nodes, is a natural constant.

[0041] It should be noted that the signal strength weight, bit error rate weight, frequency bandwidth weight, frequency change weight, signal-to-noise ratio weight and phase noise weight all have a value range between 0 and 1. In this embodiment, the signal strength weight is a signal strength weight preset in the database, which represents the numerical value of the influence of the signal strength on the characteristic value of the RF signal of the sub-control node; the bit error rate weight is a bit error rate weight preset in the database, which represents the numerical value of the influence of the bit error rate on the characteristic value of the RF signal of the sub-control node; the frequency bandwidth weight is a frequency bandwidth weight preset in the database, which represents the numerical value of the influence of the frequency bandwidth on the characteristic value of the RF signal of the sub-control node; the frequency change weight is a frequency change weight preset in the database, which represents the numerical value of the influence of the frequency change on the characteristic value of the RF signal of the sub-control node; the signal-to-noise ratio weight is a signal-to-noise ratio weight preset in the database, which represents the numerical value of the influence of the signal-to-noise ratio on the characteristic value of the RF signal of the sub-control node; The phase noise weight is a phase noise weight preset in the database, which represents the numerical value of the influence of phase noise on the characteristic value of the radio frequency signal of the sub-control node. When used, the preset signal strength weight, bit error rate weight, frequency bandwidth weight, frequency change weight, signal-to-noise ratio weight and phase noise weight can be directly obtained from the database. The corresponding relationship can be a pre-set mapping relationship. For example, the signal strength, bit error rate, frequency bandwidth, frequency change, signal-to-noise ratio and phase noise are respectively mapped with the signal strength weight, bit error rate weight, frequency bandwidth weight, frequency change weight, signal-to-noise ratio weight and phase noise weight preset in the database to form a mapping set. The real-time signal strength, bit error rate, frequency bandwidth, frequency change, signal-to-noise ratio and phase noise are respectively input into the mapping set to obtain the signal strength weight, bit error rate weight, frequency bandwidth weight, frequency change weight, signal-to-noise ratio weight and phase noise weight, wherein the mapping relationship is one-to-one correspondence.

[0042] It should also be noted that in this embodiment, the characteristic value of the sub-control node RF signal is obtained by processing the signal strength, bit error rate, frequency bandwidth, frequency change, signal-to-noise ratio and phase noise of the sub-control node RF signal, taking into account the mutual influence between these parameters. For example, when the signal strength is weak, the signal is more susceptible to noise and interference, resulting in an increase in the bit error rate. The signal-to-noise ratio is the ratio of signal power to noise power. When the signal strength increases, the signal-to-noise ratio will increase when the noise power is relatively stable. For a given transmission power, when the frequency bandwidth increases, the energy of the signal at each frequency point will be dispersed, resulting in a relative decrease in signal strength in the frequency domain. Phase noise can cause instability in the signal phase. When the signal strength is weak, the impact of phase noise on the signal will be more obvious. The bit error rate is inversely proportional to the signal-to-noise ratio. A higher signal-to-noise ratio means that the signal is clearer relative to the noise, and it is easier for the receiving end to correctly identify the information carried by the signal, so the bit error rate is lower. A wider frequency bandwidth may introduce more noise and interference, thereby increasing the bit error rate.

[0043] In a specific embodiment, by analyzing the characteristic values ​​of the radio frequency signals of the sub-control nodes, the radio frequency signal characteristics of each sub-control node can be fully understood. For effective sub-control nodes, their data can be further analyzed to optimize signal transmission. For invalid sub-control nodes, corresponding measures can be taken or they can be directly ignored, thereby improving the signal processing efficiency of the entire system.

[0044] S2, determining the radio frequency signal label of each sub-control node according to the radio frequency signal characteristic value of each sub-control node, wherein the radio frequency signal label of each sub-control node includes a valid sub-control node and an invalid sub-control node, thereby counting each valid sub-control node, and summarizing and processing the data of the radio frequency signal of the valid sub-control node at the regional edge receiver.

[0045] In a specific embodiment, by determining the radio frequency signal tag of each sub-control node, system resources can be reasonably allocated. For example, for effective sub-control nodes with good signal quality, more computing resources and communication bandwidth can be allocated to ensure their signal transmission, while for invalid sub-control nodes, resource allocation can be reduced to avoid resource waste and make more effective use of system resources.

[0046] In this embodiment, the radio frequency signal label of each sub-control node is determined, and the specific determination process is as follows: the radio frequency signal label of each sub-control node includes a valid sub-control node and an invalid sub-control node.

[0047] Extract the sub-control node radio frequency signal characteristic threshold preset in the database.

[0048] It should be understood that the threshold value of the characteristic radio frequency signal of the sub-control node is extracted from the database and is used to reflect the critical value of the characteristic radio frequency signal of the sub-control node.

[0049] In a specific embodiment, the threshold value of the characteristic radio frequency signal of the sub-control node is pre-set in the database and can be obtained by a variety of methods. For example, a large number of different radio frequency signal characteristic parameter sample data are collected, and these sample data are subjected to detailed statistical analysis and processing to obtain the evaluation value of the radio frequency signal characteristic of the sub-control node, and then these evaluation values ​​are weighted averaged or calculated by taking a specific percentile value to obtain the threshold value of the characteristic radio frequency signal of the sub-control node, or experienced experts in the field of radio frequency signal processing judge the limit of the characteristic radio frequency signal of the sub-control node based on their long-term accumulated experience to set the threshold value.

[0050] If the RF signal characteristic value of a sub-control node is greater than the RF signal characteristic threshold of the sub-control node, the RF signal label of the sub-control node is defined as a valid sub-control node; if the RF signal characteristic value of a sub-control node is less than or equal to the RF signal characteristic threshold of the sub-control node, the RF signal label of the sub-control node is defined as an invalid sub-control node.

[0051] It should be noted that if the RF signal characteristic value of a sub-control node is greater than the RF signal characteristic threshold of the sub-control node, it means that the RF signal quality of the sub-control node meets the requirements and can effectively transmit and process signals. Its signal strength, bit error rate, frequency bandwidth and other indicators are within an acceptable range. The RF signal label of the sub-control node is defined as a valid sub-control node, so that the relevant effective sub-control node RF signal data can be subsequently counted and processed. If the RF signal characteristic value of a sub-control node is less than or equal to the RF signal characteristic threshold of the sub-control node, it means that the RF signal quality of the sub-control node does not meet the requirements. There may be problems such as weak signal strength, high bit error rate, unreasonable frequency bandwidth, etc., and the signal cannot be effectively transmitted and processed. The RF signal label of the sub-control node is defined as an invalid sub-control node, and the node can be ignored in subsequent processing. At the same time, the warning information is uploaded to the controller to remind personnel to adjust the invalid node.

[0052] In a specific embodiment, by determining the RF signal label of each sub-control node according to the RF signal characteristic value of each sub-control node, each sub-control node can be clearly divided into a valid sub-control node and an invalid sub-control node, which is helpful for the subsequent centralized processing and analysis of the valid nodes and avoids the interference of the invalid nodes on the overall signal processing. At the same time, the statistics of the RF signal data of the valid sub-control nodes provide an important basis for further analysis of the optimal channel for RF signal transmission, making data processing more targeted and efficient, and being able to better optimize the signal transmission path and processing strategy according to the actual situation.

[0053] In this embodiment, the effective sub-control node radio frequency signal data includes the number of effective sub-control nodes, the standard deviation of the radio frequency signal characteristic values ​​of the effective sub-control nodes, the total power of the effective sub-control node signals and the average spectrum occupancy of the effective sub-control nodes.

[0054] It should be noted that the standard deviation of the effective sub-control node radio frequency signal characteristic value is specifically obtained as follows: ,in, is the standard deviation of the RF signal characteristic value of the effective sub-control node, is the RF signal characteristic value of the rth effective sub-control node, r is the number of each effective sub-control node, , t is the number of effective sub-control nodes.

[0055] It should be understood that the effective sub-control node radio frequency signal data is obtained by aggregating effective node signal data and analyzing it through a regional edge receiver.

[0056] S3, collecting the state parameters of each communication channel between the regional edge receiver and the central controller, and determining the optimal channel for RF signal transmission according to the RF signal data of the effective sub-control nodes.

[0057] In this embodiment, the optimal channel for radio frequency signal transmission is determined, and the specific determination process is as follows: according to the radio frequency signal data of the effective sub-control node, the radio frequency signal indicator parameters are analyzed and obtained.

[0058] In a specific embodiment, the radio frequency signal indicator parameter is obtained in the following manner:

[0059] Extract the ideal effective sub-control node radio frequency signal data preset in the database, wherein the ideal effective sub-control node radio frequency signal data includes the number of ideal nodes, the standard deviation of the characteristic value of the radio frequency signal of the ideal node, the total power of the ideal node signal and the average spectrum occupancy of the ideal node.

[0060] The radio frequency signal indicator parameter is a numerical result of quantifying the radio frequency signal data of the effective sub-control node and the ideal effective radio frequency signal data of the sub-control node, and is used to characterize the comprehensive quality of the radio frequency signal data of the effective sub-control node.

[0061] ,

[0062] in, is the RF signal indicator parameter, is the number of effective sub-control nodes, is the ideal number of nodes, is the standard deviation of the RF signal characteristic value of the effective sub-control node, is the standard deviation of the eigenvalue of the ideal node RF signal, is the total signal power of the effective sub-control node, is the total signal power of the ideal node, is the average spectrum occupancy of effective sub-control nodes, is the average spectrum occupancy of the ideal node, is the weight of the number of effective sub-control nodes, is the standard deviation weight of the RF signal characteristic value of the effective sub-control node, is the total power weight of the effective sub-control node signal, is the average spectrum occupancy weight of the effective sub-control nodes, is a natural constant.

[0063] It should be noted that the weight of the number of effective sub-control nodes, the weight of the standard deviation of the RF signal characteristic values ​​of the effective sub-control nodes, the weight of the total power of the effective sub-control node signals and the weight of the average spectrum occupancy rate of the effective sub-control nodes all have a value range between 0 and 1. In this embodiment, the weight of the number of effective sub-control nodes is the weight of the number of effective sub-control nodes preset in the database, which represents the numerical value of the influence of the number of effective sub-control nodes on the RF signal indicator parameters, the weight of the standard deviation of the RF signal characteristic values ​​of the effective sub-control nodes is the weight of the standard deviation of the RF signal characteristic values ​​of the effective sub-control nodes preset in the database, which represents the numerical value of the influence of the standard deviation of the RF signal characteristic values ​​of the effective sub-control nodes on the RF signal indicator parameters, the weight of the total power of the effective sub-control node signals is the weight of the total power of the effective sub-control node signals preset in the database, which represents the numerical value of the influence of the total power of the effective sub-control node signals on the RF signal indicator parameters, the weight of the average spectrum occupancy rate of the effective sub-control nodes is the weight of the average spectrum occupancy rate of the effective sub-control nodes preset in the database, which represents the numerical value of the influence of the average spectrum occupancy rate of the effective sub-control nodes on the RF signal indicator parameters, When in use, the preset effective sub-control node number weights, effective sub-control node RF signal characteristic value standard deviation weights, effective sub-control node signal total power weights and effective sub-control node average spectrum occupancy weights can be directly obtained from the database, and the corresponding relationship can be a pre-set mapping relationship. For example, the effective sub-control node number, the effective sub-control node RF signal characteristic value standard deviation weights, the effective sub-control node signal total power weights and the effective sub-control node average spectrum occupancy weights are respectively formed with the effective sub-control node number weights, effective sub-control node RF signal characteristic value standard deviation weights, effective sub-control node signal total power weights and effective sub-control node average spectrum occupancy weights preset in the database to form a mapping set, and the real-time effective sub-control node number, effective sub-control node RF signal characteristic value standard deviation weights, effective sub-control node signal total power weights and effective sub-control node average spectrum occupancy weights are respectively input into the mapping set to obtain the effective sub-control node number weights, effective sub-control node RF signal characteristic value standard deviation weights, effective sub-control node signal total power weights and effective sub-control node average spectrum occupancy weights, wherein the mapping relationship is one-to-one correspondence.

[0064] It should also be noted that in this embodiment, the radio frequency signal indicator parameters are obtained by processing according to the number of effective sub-control nodes, the standard deviation of the radio frequency signal characteristic values ​​of the effective sub-control nodes, the total power of the effective sub-control node signals, and the average spectrum occupancy of the effective sub-control nodes. This is to take into account the mutual influence between these parameters. For example, when the number of effective sub-control nodes is large, the standard deviation of the radio frequency signal characteristic values ​​may be relatively large, because more nodes mean that the signal sources are more diverse, and the signal characteristics of different nodes may be quite different, resulting in an increase in the discreteness of the characteristic values. An increase in the number of effective sub-control nodes usually leads to an increase in the total power of the effective sub-control node signals. Each effective sub-control node has a certain signal power. When the number of nodes increases, the total power will be accumulated accordingly. An increase in the number of effective sub-control nodes may lead to a change in the average spectrum occupancy. If the newly added nodes overlap with the original nodes in the spectrum, the average spectrum occupancy may increase. When the standard deviation of the radio frequency signal characteristic value is large, it may mean that the signal fluctuates greatly, which may affect the total power of the effective sub-control node signals. If the signal fluctuation is caused by a large change in the signal strength of some nodes, the total power may also fluctuate greatly. When the total signal power increases, if the spectrum range is relatively fixed, the average spectrum occupancy will increase.

[0065] In a specific embodiment, analyzing the RF signal indicator parameters helps to optimize the signal transmission path, allowing the signal to be transmitted in the most appropriate channel, reducing signal loss and interference during transmission, and improving the quality and efficiency of signal transmission.

[0066] The signal transmission correction value corresponding to each indicator parameter interval stored in the database is extracted, and the signal transmission correction value corresponding to the extracted radio frequency signal indicator parameter is mapped and marked as the radio frequency signal transmission correction value.

[0067] The state parameters of each communication channel include channel bandwidth, channel delay, channel noise power and channel load rate of each communication channel.

[0068] It should be noted that the state parameters of each communication channel are collected by connecting the communication channel interface to a detection device, and the detection device includes a spectrum analyzer, a power meter, and the like.

[0069] It should be noted that the channel bandwidth of the communication channel refers to the frequency range that the communication channel can accommodate.

[0070] Channel latency refers to the time it takes for a signal to travel from the sender to the receiver in a communication channel.

[0071] Channel noise power refers to the power of the noise present in the communication channel.

[0072] The channel load rate refers to the ratio of the signal flow being transmitted in the communication channel to the maximum carrying capacity of the channel.

[0073] According to the state parameters of each communication channel, a state index of each communication channel is analyzed, and the state index of each communication channel is used to characterize the stability of the signal transmission state of each communication channel.

[0074] In a specific embodiment, the state indicators of each communication channel are obtained in the following manner:

[0075] The communication channel reference state parameters stored in the database are extracted, wherein the communication channel reference state parameters include a reference channel bandwidth, a reference channel delay, a reference channel noise power, and a reference channel load rate of the communication channel.

[0076] ,

[0077] in, is the state indicator of the i-th communication channel, is the channel bandwidth of the i-th communication channel, is the reference channel bandwidth of the communication channel, is the channel delay of the i-th communication channel, is the reference channel delay of the communication channel, is the channel noise power of the i-th communication channel, is the reference channel noise power of the communication channel, is the channel load rate of the i-th communication channel, is the reference channel load rate of the communication channel, is the channel bandwidth weight, is the channel delay weight, is the channel noise power weight, is the channel load rate weight, i is the number of each communication channel, , m is the number of communication channels.

[0078] It should be noted that the channel bandwidth weight, channel delay weight, channel noise power weight and channel load rate weight all have a value range between 0 and 1. In this embodiment, the channel bandwidth weight is a channel bandwidth weight preset in the database, which indicates the numerical value of the influence of the channel bandwidth on the communication channel status index. The channel delay weight is a channel delay weight preset in the database, which indicates the numerical value of the influence of the channel delay on the communication channel status index. The channel noise power weight is a channel noise power weight preset in the database, which indicates the numerical value of the influence of the channel noise power on the communication channel status index. The channel load rate weight is a channel load rate weight preset in the database, which indicates the influence of the channel load rate on the communication channel status index. The numerical value of the influence degree of the channel status indicator can be directly used to obtain the preset channel bandwidth weight, channel delay weight, channel noise power weight and channel load rate weight from the database, and the corresponding relationship can be a pre-set mapping relationship. For example, the channel bandwidth, channel delay, channel noise power and channel load rate are respectively mapped with the channel bandwidth weight, channel delay weight, channel noise power weight and channel load rate weight preset in the database to form a mapping set, and the real-time channel bandwidth, channel delay, channel noise power and channel load rate are respectively input into the mapping set to obtain the channel bandwidth weight, channel delay weight, channel noise power weight and channel load rate weight, wherein the mapping relationship is one-to-one correspondence.

[0079] It should also be noted that in this embodiment, the communication channel state index is obtained by processing according to the channel bandwidth, channel delay, channel noise power and channel load rate of the communication channel, taking into account the mutual influence between these parameters. For example, a wider channel bandwidth usually means that the signal can pass through the channel faster, resulting in a reduced channel delay. A wider channel bandwidth may introduce more noise, resulting in an increase in channel noise power. When the channel bandwidth increases, if the signal flow remains unchanged, the channel load rate will decrease. A longer channel delay may cause the signal to be interfered with by more noise in the channel, because the longer the signal stays in the channel, the more susceptible it is to noise. When the channel load rate increases, the channel delay may increase, because more signals are transmitted in the channel, which may cause the signal to queue and wait for an increase, thereby increasing the channel delay. Higher noise power may interfere with the transmission of the signal, making some signals unable to pass through the channel normally, thereby reducing the effective load rate of the channel.

[0080] In a specific embodiment, by analyzing the status indicators of each communication channel, it is helpful to improve the signal transmission efficiency. By selecting a channel with good channel status indicators for transmission and adjusting the signal transmission method according to the channel characteristics, the loss and interference of the signal during the transmission process can be reduced, so that the signal can reach the destination faster and more accurately, thereby improving the signal transmission efficiency of the entire system.

[0081] According to the status indicators of each communication channel and the RF signal transmission correction value, the transmission priority evaluation value of each communication channel is analyzed, the communication channel with the largest transmission priority evaluation value is extracted, and it is marked as the optimal channel for RF signal transmission.

[0082] In a specific embodiment, each communication channel transmits a priority evaluation value, and the specific acquisition method is as follows:

[0083] ,

[0084] in, Transmit the priority evaluation value for the i-th communication channel, is the state indicator of the i-th communication channel, is the RF signal transmission correction value, i is the number of each communication channel, , m is the number of communication channels.

[0085] In a specific embodiment, the communication channel with the largest transmission priority evaluation value can be extracted by the following method: ,in, Prioritize the maximum value for the communication channel transmission, Transmit the priority evaluation value for the i-th communication channel, , m is the number of communication channels, and the communication channel corresponding to the maximum value of the communication channel transmission priority evaluation is extracted and marked as the optimal channel for RF signal transmission.

[0086] It should be noted that as the environment and signal conditions change, the RF signal data of the effective sub-control node will also change, thereby affecting the RF signal transmission correction value, and then leading to the re-determination of the optimal channel for RF signal transmission. This dynamic determination mechanism enables the system to adaptively adjust the signal transmission path to better adapt to different working scenarios and signal environments, ensuring that the system can maintain good signal transmission performance under various circumstances.

[0087] In a specific embodiment, by determining the optimal channel for RF signal transmission based on the RF signal data of the effective sub-control node, it is possible to comprehensively evaluate the advantages and disadvantages of each communication channel for RF signal transmission, reduce interference to the signal during transmission, improve signal integrity and accuracy, and thus improve signal transmission quality. At the same time, the signal can be preferentially transmitted through the most suitable channel, avoiding wasting resources on channels of poor quality.

[0088] S4, analyzing and processing the radio frequency signal received by the central controller, acquiring radio frequency signal processing parameters, analyzing and processing them to obtain radio frequency signal comprehensive processing evaluation indicator parameters, and adjusting radio frequency signal processing execution parameters based on the radio frequency signal comprehensive processing evaluation indicator parameters.

[0089] In this embodiment, the radio frequency signal processing parameters include average signal strength, average bit error rate, average frequency bandwidth and average signal rise time of the radio frequency signal.

[0090] It should be understood that the radio frequency signal processing parameters can be obtained by analyzing and processing external analysis equipment of the central controller, such as a spectrum analyzer, a power meter, etc.

[0091] In this embodiment, the RF signal comprehensive processing evaluation indicator parameters are analyzed, and the specific process is as follows: extract the verification RF signal processing parameters stored in the database, and the verification RF signal processing parameters include the verification signal strength, verification bit error rate, verification frequency bandwidth and verification signal rise time of the RF signal.

[0092] It should be noted that the verification radio frequency signal processing parameters are obtained by performing mean processing on the radio frequency signal processing parameters before establishing the database.

[0093] According to each communication channel state indicator, the communication channel state indicator corresponding to the optimal channel for radio frequency signal transmission is screened out and recorded as the communication channel optimal state indicator.

[0094] According to the RF signal processing parameters, the verification RF signal processing parameters and the communication channel optimal state index analysis and processing, the RF signal comprehensive processing evaluation indicator parameters are obtained.

[0095] The RF signal comprehensive processing evaluation indicator parameter is a numerical result of quantifying RF signal processing parameters, verifying RF signal processing parameters and communication channel optimal state indicators, and is used to characterize the processing difficulty of the RF signal after the central storage receives the RF signal.

[0096] In a specific embodiment, the radio frequency signal comprehensive processing evaluation indicator parameter is obtained in the following manner:

[0097] ,

[0098] in, To evaluate the index parameters for comprehensive processing of RF signals, is the average signal strength of the RF signal, To verify the signal strength of the RF signal, is the average bit error rate of the RF signal, is the verification bit error rate of the RF signal, is the average frequency bandwidth of the RF signal, To verify the frequency bandwidth of the RF signal, is the average signal rise time of the RF signal, is the rise time of the verification signal of the RF signal, is the average signal strength weight, is the average bit error rate weight, is the average frequency bandwidth weight, is the average signal rise time weight, is the optimal state indicator of the communication channel, is a natural constant.

[0099] It should be noted that the average signal strength weight, the average bit error rate weight, the average frequency bandwidth weight and the average signal rise time weight all have a value range between 0 and 1. In this embodiment, the average signal strength weight is the average signal strength weight preset in the database, which indicates the numerical value of the influence of the average signal strength on the RF signal comprehensive processing evaluation indicator parameter, the average bit error rate weight is the average bit error rate weight preset in the database, which indicates the numerical value of the influence of the average bit error rate on the RF signal comprehensive processing evaluation indicator parameter, the average frequency bandwidth weight is the average frequency bandwidth weight preset in the database, which indicates the numerical value of the influence of the average frequency bandwidth on the RF signal comprehensive processing evaluation indicator parameter, and the average signal rise time weight is the average signal rise time weight preset in the database, which indicates the average signal rise time. The numerical value of the degree of influence on the index parameter of the comprehensive processing evaluation of the radio frequency signal can be directly obtained from the database when used. The preset average signal strength weight, average bit error rate weight, average frequency bandwidth weight and average signal rise time weight can be a pre-set mapping relationship. For example, the average signal strength, average bit error rate, average frequency bandwidth and average signal rise time are respectively mapped with the average signal strength weight, average bit error rate weight, average frequency bandwidth weight and average signal rise time weight preset in the database to form a mapping set. The real-time average signal strength, average bit error rate, average frequency bandwidth and average signal rise time are respectively input into the mapping set to obtain the average signal strength weight, average bit error rate weight, average frequency bandwidth weight and average signal rise time weight, wherein the mapping relationship is one-to-one correspondence.

[0100] It should also be noted that in this embodiment, the RF signal comprehensive processing evaluation indicator parameters are obtained by analyzing and processing the RF signal processing parameters, verifying the RF signal processing parameters and the communication channel optimal state index, taking into account the mutual influence between these parameters. For example, if the channel bandwidth corresponding to the communication channel optimal state index is narrow, then the average frequency bandwidth in the RF signal processing parameters may be limited and cannot give full play to its original possible bandwidth. At the same time, if the channel delay corresponding to the communication channel optimal state index is large, it may cause the average signal rise time in the RF signal processing parameters to increase, because the signal transmission time in the channel becomes longer, and the rise process will also be affected accordingly.

[0101] In a specific embodiment, by analyzing the RF signal comprehensive processing evaluation indicator parameters, the processing difficulty of the central controller after receiving the RF signal can be fully understood, providing a basis for subsequent targeted optimization of the signal processing process and improving the signal processing effect.

[0102] In this embodiment, the RF signal processing execution parameters are adjusted based on the RF signal comprehensive processing evaluation indicator parameters. The specific process is as follows: extracting the RF signal comprehensive quality index threshold preset in the database.

[0103] It should be understood that the RF signal comprehensive quality index threshold is extracted from a database and is used to reflect the critical value of the RF signal comprehensive quality.

[0104] In a specific embodiment, the threshold value of the comprehensive quality index of the radio frequency signal is pre-set in the database and can be obtained by a variety of methods. For example, a large number of comprehensive quality parameter sample data of radio frequency signals in different frequency bands and under different interference environments are collected, and these sample data are subjected to detailed statistical analysis and processing to obtain the comprehensive quality evaluation value of the radio frequency signal, and then these evaluation values ​​are weighted averaged or calculated by taking a specific percentile value to obtain the comprehensive quality index threshold value of the radio frequency signal, or experienced experts in the field of radio frequency signal processing judge the limit of the comprehensive quality of the radio frequency signal based on their long-term accumulated experience to set the threshold value.

[0105] If the RF signal comprehensive processing evaluation indicator parameter is less than or equal to the RF signal comprehensive quality index threshold, the RF signal processing execution parameter is not changed.

[0106] If the RF signal comprehensive processing evaluation indicator parameter is greater than the RF signal comprehensive quality index threshold, difference processing is performed to obtain the RF signal comprehensive processing evaluation deviation value, and the central controller adjustment parameters corresponding to each RF signal comprehensive processing evaluation deviation value interval preset in the database are extracted, and the central controller adjustment parameters corresponding to the extracted RF signal comprehensive processing evaluation deviation values ​​are mapped and marked as the central controller RF target adjustment parameters, thereby adjusting the RF signal processing execution parameters based on the central controller RF target adjustment parameters.

[0107] If the RF signal comprehensive processing evaluation indicator parameter is less than or equal to the RF signal comprehensive quality index threshold, it means that the current processing effect of the RF signal is within an acceptable range and the signal quality meets the expected standard. At this time, there is no need to change the signal processing execution parameters of the central controller. Maintaining the existing signal processing method can ensure the normal transmission and processing of the signal. If the RF signal comprehensive processing evaluation indicator parameter is greater than the RF signal comprehensive quality index threshold, it means that the current processing effect of the RF signal does not meet the expected standard and there is a problem with the signal quality. It may be caused by a variety of reasons such as insufficient signal strength, too high bit error rate, inappropriate frequency bandwidth, poor communication channel status, etc. Further measures need to be taken to improve the signal processing effect.

[0108] It should be noted that, in a specific embodiment, assuming that the threshold value of the RF signal comprehensive quality index is 5, and the RF signal comprehensive processing evaluation indicator parameter actually calculated is 6, then the RF signal comprehensive processing evaluation deviation value obtained by difference processing is 6-5=1, and then the preset RF signal comprehensive processing evaluation deviation value intervals are searched in the database, and the central controller adjustment parameters corresponding to the interval where 1 is located are extracted. It is assumed that the central controller adjustment parameters corresponding to the interval are to increase the signal amplifier gain by 20%, and adjust the modulation mode at the same time, such as from Quadrature Phase Shift Keying to 16-Quadrature Amplitude Modulation. These parameter mappings are extracted and marked as central controller RF target adjustment parameters. Finally, the RF signal processing execution parameters are adjusted based on these central controller RF target adjustment parameters, that is, the signal amplifier gain is increased and the modulation mode is changed as required to improve the RF signal processing effect.

[0109] In a specific embodiment, by adjusting the RF signal processing execution parameters based on the RF signal comprehensive processing evaluation indicator parameters, accurate optimization of signal processing can be achieved, and unnecessary waste of resources can be avoided. At the same time, the optimized signal processing can also reduce signal retransmission and the like, further improving resource utilization efficiency, including computing resources, storage resources, and communication channel resources.

[0110] See also Figure 2 As shown, an embodiment of the present invention provides a system for processing radio frequency signals of a high-frequency transceiver chip, characterized in that it includes: a radio frequency signal analysis module, which is used for collecting the radio frequency signals of the high-frequency transceiver chips of each sub-control node by a regional edge receiver within a preset monitoring period for spectrum analysis to obtain the characteristic values ​​of the radio frequency signals of each sub-control node.

[0111] The effective sub-control node analysis module is used to determine the radio frequency signal label of each sub-control node according to the radio frequency signal characteristic value of each sub-control node, and the radio frequency signal label of each sub-control node includes an effective sub-control node and an invalid sub-control node, thereby counting each effective sub-control node and summarizing and processing them at the regional edge receiver to obtain the radio frequency signal data of the effective sub-control node.

[0112] The module for determining the optimal channel for RF signal transmission is used to collect the status parameters of each communication channel between the regional edge receiver and the central controller, and determine the optimal channel for RF signal transmission based on the RF signal data of the effective sub-control nodes.

[0113] The RF signal processing execution parameter adjustment module is used to analyze and process the RF signal received by the central controller, obtain the RF signal processing parameters for analysis and processing to obtain the RF signal comprehensive processing evaluation indicator parameters, and adjust the RF signal processing execution parameters based on the RF signal comprehensive processing evaluation indicator parameters.

[0114] It should be noted that the radio frequency signal processing system of the high radio frequency transceiver chip provided by the present invention is applied to large factories. The system collects the radio frequency signals of the high radio frequency transceiver chips of each sub-control node through the regional edge receiver for spectrum analysis, and can monitor the signal quality between devices in real time, solving the problem that humans cannot detect the signal status in real time, improving production efficiency, optimizing resource utilization, and enhancing the adaptability of the system.

[0115] In a specific embodiment, by providing a method and system for processing radio frequency signals of a high radio frequency transceiver chip, the radio frequency signals of the high radio frequency transceiver chips of each sub-control node are collected by a regional edge receiver for spectrum analysis, so that the quality level of the radio frequency signal can be understood more comprehensively and accurately, and the optimal channel for radio frequency signal transmission can be accurately determined, thereby improving the efficiency and quality of signal transmission. At the same time, the radio frequency signal processing execution parameters can be flexibly adjusted to adapt to different signal processing requirements, thereby improving the effectiveness and adaptability of signal processing.

[0116] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0117] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A method for processing radio frequency signals of a high-frequency transceiver chip, characterized in that: The following steps are involved: S1, within a preset monitoring period, the regional edge receiver collects the radio frequency signal of the high-frequency transceiver chip of each sub-control node for spectrum analysis to obtain the characteristic value of the radio frequency signal of each sub-control node; S2, determining the radio frequency signal label of each sub-control node according to the radio frequency signal characteristic value of each sub-control node, wherein the radio frequency signal label of each sub-control node includes a valid sub-control node and an invalid sub-control node, thereby counting each valid sub-control node, and summarizing and processing the valid sub-control node radio frequency signal data at the regional edge receiver; S3, collecting the state parameters of each communication channel between the regional edge receiver and the central controller, and determining the optimal channel for RF signal transmission according to the RF signal data of the effective sub-control nodes; S4, analyzing and processing the radio frequency signal received by the central controller, acquiring radio frequency signal processing parameters, analyzing and processing them to obtain radio frequency signal comprehensive processing evaluation indicator parameters, and adjusting radio frequency signal processing execution parameters based on the radio frequency signal comprehensive processing evaluation indicator parameters.

2. The method for processing radio frequency signals of a high-frequency transceiver chip according to claim 1, characterized in that: The specific analysis process of obtaining the characteristic value of the radio frequency signal of each sub-control node is as follows: The regional edge receiver collects the RF signals of the high-frequency transceiver chips of each sub-control node for spectrum analysis and obtains the RF signal quality data of each sub-control node; The radio frequency signal quality data of each sub-control node includes the signal strength, bit error rate, center frequency, frequency bandwidth, frequency variation, signal-to-noise ratio and phase noise of the radio frequency signal of each sub-control node; According to the radio frequency signal quality data of each sub-control node, the characteristic value of the radio frequency signal of each sub-control node is obtained by analyzing and processing; The characteristic value of the radio frequency signal of each sub-control node is a numerical result of quantifying the quality data of the radio frequency signal of each sub-control node, and is used to characterize the quality level of the radio frequency signal of each sub-control node.

3. The method for processing radio frequency signals of a high-frequency transceiver chip according to claim 2, characterized in that: The specific determination process of determining the radio frequency signal label of each sub-control node is as follows: The radio frequency signal tags of each sub-control node include valid sub-control nodes and invalid sub-control nodes; Extracting the radio frequency signal characteristic threshold of the sub-control node preset in the database; If the RF signal characteristic value of a sub-control node is greater than the RF signal characteristic threshold of the sub-control node, the RF signal label of the sub-control node is defined as a valid sub-control node; if the RF signal characteristic value of a sub-control node is less than or equal to the RF signal characteristic threshold of the sub-control node, the RF signal label of the sub-control node is defined as an invalid sub-control node.

4. The method for processing radio frequency signals of a high-frequency transceiver chip according to claim 1, characterized in that: The effective sub-control node radio frequency signal data includes the number of effective sub-control nodes, the standard deviation of the characteristic value of the radio frequency signal of the effective sub-control nodes, the total power of the effective sub-control node signal and the average spectrum occupancy rate of the effective sub-control nodes.

5. The method for processing radio frequency signals of a high-frequency transceiver chip according to claim 4, characterized in that: The specific determination process of determining the optimal channel for RF signal transmission is as follows: According to the radio frequency signal data of the effective sub-control nodes, the radio frequency signal indicator parameters are analyzed and obtained; Extracting the signal transmission correction value corresponding to each indicator parameter interval stored in the database, and mapping the extracted signal transmission correction value corresponding to the RF signal indicator parameter to be marked as the RF signal transmission correction value; The state parameters of each communication channel include channel bandwidth, channel delay, channel noise power and channel load rate of each communication channel; Analyzing the status indicators of each communication channel according to the status parameters of each communication channel, wherein the status indicators of each communication channel are used to characterize the stability of the signal transmission status of each communication channel; According to the status indicators of each communication channel and the RF signal transmission correction value, the transmission priority evaluation value of each communication channel is analyzed, the communication channel with the largest transmission priority evaluation value is extracted, and it is marked as the optimal channel for RF signal transmission.

6. The method for processing radio frequency signals of a high-frequency transceiver chip according to claim 5, characterized in that: The radio frequency signal processing parameters include average signal strength, average bit error rate, average frequency bandwidth and average signal rise time of the radio frequency signal.

7. The method for processing radio frequency signals of a high-frequency transceiver chip according to claim 6, characterized in that: The analysis and processing obtains the RF signal comprehensive processing evaluation indicator parameters, and the specific process is as follows: Extracting verification radio frequency signal processing parameters stored in a database, wherein the verification radio frequency signal processing parameters include verification signal strength, verification bit error rate, verification frequency bandwidth, and verification signal rise time of the radio frequency signal; According to each communication channel state indicator, the communication channel state indicator corresponding to the optimal channel for radio frequency signal transmission is screened out and recorded as the communication channel optimal state indicator; According to the RF signal processing parameters, the verification RF signal processing parameters and the communication channel optimal state index analysis and processing, the RF signal comprehensive processing evaluation indicator parameters are obtained; The RF signal comprehensive processing evaluation indicator parameter is a numerical result of quantifying RF signal processing parameters, verifying RF signal processing parameters and communication channel optimal state indicators, and is used to characterize the processing difficulty of the RF signal after the central storage receives the RF signal.

8. The method for processing radio frequency signals of a high-frequency transceiver chip according to claim 7, characterized in that: The specific process of adjusting the RF signal processing execution parameters based on the RF signal comprehensive processing evaluation indicator parameters is as follows: Extracting a preset radio frequency signal comprehensive quality index threshold in a database; If the RF signal comprehensive processing evaluation indicator parameter is less than or equal to the RF signal comprehensive quality index threshold, the signal processing execution parameter of the central controller is not changed; If the RF signal comprehensive processing evaluation indicator parameter is greater than the RF signal comprehensive quality index threshold, difference processing is performed to obtain the RF signal comprehensive processing evaluation deviation value, and the central controller adjustment parameters corresponding to each RF signal comprehensive processing evaluation deviation value interval preset in the database are extracted, and the central controller adjustment parameters corresponding to the extracted RF signal comprehensive processing evaluation deviation value are mapped and marked as the central controller RF target adjustment parameters, thereby adjusting the RF signal processing execution parameters.

9. The method for processing radio frequency signals of a high-frequency transceiver chip according to claim 7, characterized in that: The transmission priority evaluation value of each communication channel is obtained in the following manner: , in, Transmit the priority evaluation value for the i-th communication channel, is the state indicator of the i-th communication channel, is the RF signal transmission correction value, i is the number of each communication channel, , m is the number of communication channels.

10. A radio frequency signal processing system for a high-frequency transceiver chip, characterized in that: include: The RF signal analysis module is used to collect the RF signals of the high-RF transceiver chips of each sub-control node by the regional edge receiver within a preset monitoring period for spectrum analysis to obtain the RF signal characteristic values ​​of each sub-control node; The effective sub-control node analysis module is used to determine the radio frequency signal label of each sub-control node according to the radio frequency signal characteristic value of each sub-control node, and the radio frequency signal label of each sub-control node includes an effective sub-control node and an invalid sub-control node, thereby counting each effective sub-control node, and summarizing and processing at the regional edge receiver to obtain the radio frequency signal data of the effective sub-control node; The optimal channel determination module for radio frequency signal transmission is used to collect the state parameters of each communication channel between the regional edge receiver and the central controller, and determine the optimal channel for radio frequency signal transmission based on the radio frequency signal data of the effective sub-control node; The RF signal processing execution parameter adjustment module is used to analyze and process the RF signal received by the central controller, obtain the RF signal processing parameters for analysis and processing to obtain the RF signal comprehensive processing evaluation indicator parameters, and adjust the RF signal processing execution parameters based on the RF signal comprehensive processing evaluation indicator parameters.

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