RSSI-based communication frequency selection method and apparatus

Abstract

This invention relates to the field of radio frequency communication technology and discloses a communication frequency selection method and apparatus based on RSSI. The method includes: sweeping a target frequency band using step units to obtain a set of sweep points; performing peak detection on the sweep point set to obtain the peak received signal strength and interference frequencies; calculating at least one third-order intermodulation point within the target frequency band based on each interference frequency; fitting the sweep point set, each interference frequency, and each third-order intermodulation point to obtain a target sweep point set; performing weighted calculations on each target sweep point in the target sweep point set based on antenna weighting coefficients and the center frequency to obtain a received signal strength weighted value; and selecting the optimal frequency point based on each received signal strength weighted value. Therefore, implementing this invention can improve the accuracy and reliability of communication frequency selection, extend communication distance, and ensure the comprehensiveness and accuracy of frequency selection, thereby improving the stability and anti-interference capability of wireless audio communication.

Description

Technical Field

[0001] This invention relates to the field of radio frequency communication technology, and in particular to a communication frequency selection method and apparatus based on RSSI. Background Technology

[0002] In the field of wireless communication, UHF wireless audio communication is widely used due to its transmission characteristics. In practical scenarios, one receiver is often paired with two or four transmitters, and multiple transmitter-receiver sets may operate simultaneously. To ensure communication quality, the receiver needs to select a frequency with low interference and stable signal to establish a connection with the transmitter. RSSI (Received Signal Strength Indicator), as a key parameter characterizing the signal strength at a frequency point, has been widely used for interference frequency point identification in wireless communications such as 4G, WIFI, and Bluetooth. Specifically, the receiver obtains the RSSI value of each frequency point within the target frequency band by scanning the frequency and identifies the frequency point corresponding to the high RSSI value as an interference frequency point.

[0003] However, RSSI value tables cannot characterize the parasitic interference frequencies generated by third-order intermodulation, leading to the possibility that the selected frequency may fall precisely at the third-order intermodulation interference point. This results in insufficient reliability and adaptability of frequency selection, potentially causing problems such as short communication distance and dropped audio due to third-order intermodulation interference, making it difficult to meet the communication needs of multiple devices working collaboratively in complex radio frequency environments. Therefore, it is particularly important to propose a technical solution that can improve the accuracy and reliability of communication frequency selection, thereby enhancing the stability and anti-interference capability of wireless audio communication. Summary of the Invention

[0004] This invention provides a communication frequency selection method and apparatus based on RSSI, which can improve the accuracy and reliability of communication frequency selection, thereby improving the stability and anti-interference capability of wireless audio communication.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses a communication frequency selection method based on RSSI, the method comprising: Based on a preset step unit, the target frequency band corresponding to the wireless audio receiver is swept to obtain a set of sweep points. The set of sweep points includes multiple sweep points and the received signal strength value of each sweep point. Peak detection is performed on the frequency sweep point set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength. Based on each interference frequency point, at least one third-order intermodulation point in the target frequency band is calculated. The target sweep point set is obtained by fitting the sweep point set, each interference frequency point, and each third-order intermodulation point. The antenna weighting coefficients of the wireless audio receiver and the center frequency of the target frequency band are determined. Based on the antenna weighting coefficients and the center frequency, a weighted calculation is performed on each target frequency sweep point in the target frequency sweep point set to obtain the received signal strength weighted value of each target frequency sweep point. Based on the weighted value of the received signal strength of each target frequency sweep point, the optimal frequency point is selected from each target frequency sweep point.

[0006] As an optional implementation, in the first aspect of the present invention, the method further includes: Each target frequency sweep point in the target frequency sweep point set is sorted in ascending order according to the received signal strength value to obtain the sorted target frequency sweep point set. Obtain the transmitter bandwidth of the wireless audio transmitter and the preset security bandwidth, and calculate the first optimal distance threshold based on the transmitter bandwidth and the security bandwidth; The total number of interference points in the target frequency sweep point set, including the interference frequency points and the third-order intermodulation points, is counted, and the interference point density is calculated based on the total number of interference points and the bandwidth of the target frequency band. Determine whether the interference point density is greater than a preset interference point density threshold. When the interference point density is greater than the interference point density threshold, determine a second optimal point distance threshold based on the first optimal point distance threshold. The first optimal point distance threshold is greater than the second optimal point distance threshold. Based on the first optimal point distance threshold or the second optimal point distance threshold, at least one recommended point is selected from the sorted target frequency sweep point set to obtain a recommended point set.

[0007] As an optional implementation, in the first aspect of the present invention, the step of performing a weighted calculation on each target frequency sweep point in the target frequency sweep point set according to the antenna weighting coefficient and the center frequency point to obtain a weighted value of the received signal strength of each target frequency sweep point includes: The spacing weighting coefficient is determined based on either the first optimal point distance threshold or the second optimal point distance threshold. For each of the recommended points in the set of recommended points, calculate the first absolute distance between the recommended point and the center frequency point, and calculate the second absolute distance between the recommended point and the nearest interference frequency point or third-order intermodulation point; For each of the recommended points in the set of recommended points, a first weighting term is calculated based on the antenna weighting coefficient and the first absolute distance of the recommended point, and a second weighting term is calculated based on the distance weighting coefficient and the second absolute distance of the recommended point; The received signal strength weighted value for each recommended point is calculated based on the received signal strength value, the first weighting term, and the second weighting term for each recommended point.

[0008] As an optional implementation, in the first aspect of the present invention, the method further includes: Calculate the average signal strength and standard deviation of the signal strength for each received signal strength value in the frequency sweep point set, and calculate the dynamic peak detection threshold based on the average signal strength and standard deviation of the signal strength; Valid frequency sweep points with received signal strength values ​​greater than the dynamic peak detection threshold are selected from the set of frequency sweep points to obtain a set of valid frequency sweep points.

[0009] As an optional implementation, in the first aspect of the present invention, the step of performing peak detection on the frequency sweep set to obtain at least one peak value of the received signal strength and an interference frequency point corresponding to each peak value of the received signal strength includes: Determine the initial scale parameters; For each effective frequency sweep point in the set of effective frequency sweep points, the left first-order derivative and the right first-order derivative corresponding to the effective frequency sweep point are calculated based on the initial scale parameter. For each valid frequency sweep point in the set of valid frequency sweep points, determine whether the left first derivative value of the valid frequency sweep point is greater than zero and whether the right first derivative value is less than zero. When the left first derivative value is greater than zero and the right first derivative value is less than zero, determine that the received signal strength value of the valid frequency sweep point is the peak value of the received signal strength, and determine that the valid frequency sweep point is an interference frequency point. For each valid frequency sweep point in the set of valid frequency sweep points, when the left first derivative value is less than or equal to zero and / or the right first derivative value is greater than or equal to zero, the initial scale parameter is adjusted to obtain the target scale parameter, and the operation of calculating the left first derivative value and the right first derivative value based on the target scale parameter is triggered.

[0010] As an optional implementation, in the first aspect of the present invention, the step of selecting the optimal frequency point from each of the target frequency sweep points based on the received signal strength weighted value of each target frequency sweep point includes: Among each target frequency sweep point, the target frequency sweep point with the smallest weighted value of received signal strength is selected as the optimal frequency point; The optimal frequency point is determined as the new interference frequency point, and iterative calculation is performed based on the new interference frequency point and each interference frequency point to obtain the set of optimal frequency points corresponding to the target frequency band. Determine the maximum number of communication frequency points corresponding to the target frequency band, and determine whether the number of optimal frequency points in the optimal frequency point set reaches the maximum number of communication frequency points, and determine whether the number of iterations reaches a preset iteration number threshold; When the number of optimal frequency points reaches the maximum number of communication frequency points, and / or the number of iterations reaches the iteration number threshold, the set of optimal frequency points is determined to be the set of saturated optimal frequency points corresponding to the target frequency band, and the set of saturated optimal frequency points is output.

[0011] As an optional implementation, in the first aspect of the present invention, the method further includes: Determine the target optimal frequency point from the set of saturated optimal frequency points, and establish a communication connection between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point; During the audio transmission communication between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point, communication effect parameters are monitored. These communication effect parameters include at least one of audio drop rate, signal-to-noise ratio, transmission delay, and signal bit error rate. The communication performance score corresponding to the target optimal frequency point is calculated based on the communication performance parameters, and it is determined whether the communication performance score is less than a preset score threshold. When the communication performance score is less than the score threshold, the target optimal frequency point is determined to be a communication dead point, and the communication dead point and the communication performance parameters are associated and stored in the dead point set. The set of optimal saturation frequencies is updated based on the set of bad points.

[0012] A second aspect of the present invention discloses a communication frequency selection device based on RSSI, the device comprising: The frequency sweeping module is used to sweep the target frequency band corresponding to the wireless audio receiver based on a preset step unit to obtain a set of sweeping points. The set of sweeping points includes multiple sweeping points and the received signal strength value of each sweeping point. The peak detection module is used to perform peak detection on the frequency sweep point set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength, and to calculate at least one third-order intermodulation point in the target frequency band based on each interference frequency point. The fitting module is used to fit the set of frequency sweep points, each of the interference frequency points, and each of the third-order intermodulation points to obtain the target set of frequency sweep points. The determining module is used to determine the antenna weighting coefficients of the wireless audio receiver and the center frequency of the target frequency band; The calculation module is used to perform weighted calculations on each target frequency sweep point in the target frequency sweep point set according to the antenna weighting coefficient and the center frequency point, so as to obtain the received signal strength weighted value of each target frequency sweep point; The filtering module is used to filter the optimal frequency point among the target frequency sweep points according to the weighted value of the received signal strength of each target frequency sweep point.

[0013] As an optional implementation, in a second aspect of the invention, the apparatus further includes: The sorting module is used to sort each target frequency sweep point in the target frequency sweep point set in ascending order according to the received signal strength value, so as to obtain the sorted target frequency sweep point set. The acquisition module is used to acquire the transmitter bandwidth of the wireless audio transmitter and the preset security bandwidth, and calculate the first optimal distance threshold based on the transmitter bandwidth and the security bandwidth. The statistics module is used to count the total number of interference points of the interference frequency points and the third-order intermodulation points in the target frequency sweep point set, and to calculate the interference point density based on the total number of interference points and the bandwidth of the target frequency band. The judgment module is used to determine whether the interference point density is greater than a preset interference point density threshold. When the interference point density is greater than the interference point density threshold, a second optimal point distance threshold is determined based on the first optimal point distance threshold. The first optimal point distance threshold is greater than the second optimal point distance threshold. The filtering module is further configured to filter at least one recommended point from the sorted target frequency sweep point set according to the first optimal point distance threshold or the second optimal point distance threshold, so as to obtain a recommended point set.

[0014] As an optional implementation, in the second aspect of the present invention, the calculation module performs a weighted calculation on each target frequency sweep point in the target frequency sweep point set based on the antenna weighting coefficient and the center frequency point to obtain the received signal strength weighted value of each target frequency sweep point. Specifically, this includes: The spacing weighting coefficient is determined based on either the first optimal point distance threshold or the second optimal point distance threshold. For each of the recommended points in the set of recommended points, calculate the first absolute distance between the recommended point and the center frequency point, and calculate the second absolute distance between the recommended point and the nearest interference frequency point or third-order intermodulation point; For each of the recommended points in the set of recommended points, a first weighting term is calculated based on the antenna weighting coefficient and the first absolute distance of the recommended point, and a second weighting term is calculated based on the distance weighting coefficient and the second absolute distance of the recommended point; The received signal strength weighted value for each recommended point is calculated based on the received signal strength value, the first weighting term, and the second weighting term for each recommended point.

[0015] As an optional implementation, in a second aspect of the present invention, the calculation module is further configured to calculate the average signal strength and the standard deviation of the signal strength for each received signal strength value in the frequency sweep point set, and to calculate a dynamic peak detection threshold based on the average signal strength and the standard deviation of the signal strength; The filtering module is further configured to filter valid frequency sweep points in the set of frequency sweep points whose received signal strength values ​​are greater than the dynamic peak detection threshold, thereby obtaining a set of valid frequency sweep points.

[0016] As an optional implementation, in the second aspect of the present invention, the peak detection module performs peak detection on the frequency sweep set to obtain at least one received signal strength peak and the interference frequency point corresponding to each received signal strength peak. Specifically, this includes: Determine the initial scale parameters; For each effective frequency sweep point in the set of effective frequency sweep points, the left first-order derivative and the right first-order derivative corresponding to the effective frequency sweep point are calculated based on the initial scale parameter. For each valid frequency sweep point in the set of valid frequency sweep points, determine whether the left first derivative value of the valid frequency sweep point is greater than zero and whether the right first derivative value is less than zero. When the left first derivative value is greater than zero and the right first derivative value is less than zero, determine that the received signal strength value of the valid frequency sweep point is the peak value of the received signal strength, and determine that the valid frequency sweep point is an interference frequency point. For each valid frequency sweep point in the set of valid frequency sweep points, when the left first derivative value is less than or equal to zero and / or the right first derivative value is greater than or equal to zero, the initial scale parameter is adjusted to obtain the target scale parameter, and the operation of calculating the left first derivative value and the right first derivative value based on the target scale parameter is triggered.

[0017] As an optional implementation, in a second aspect of the present invention, the filtering module filters the optimal frequency point among the target frequency sweep points based on the weighted value of the received signal strength of each target frequency sweep point, specifically including: Among each target frequency sweep point, the target frequency sweep point with the smallest weighted value of received signal strength is selected as the optimal frequency point; The optimal frequency point is determined as the new interference frequency point, and iterative calculation is performed based on the new interference frequency point and each interference frequency point to obtain the set of optimal frequency points corresponding to the target frequency band. Determine the maximum number of communication frequency points corresponding to the target frequency band, and determine whether the number of optimal frequency points in the optimal frequency point set reaches the maximum number of communication frequency points, and determine whether the number of iterations reaches a preset iteration number threshold; When the number of optimal frequency points reaches the maximum number of communication frequency points, and / or the number of iterations reaches the iteration number threshold, the set of optimal frequency points is determined to be the set of saturated optimal frequency points corresponding to the target frequency band, and the set of saturated optimal frequency points is output.

[0018] As an optional implementation, in a second aspect of the present invention, the determining module is further configured to determine a target optimal frequency point in the set of saturated optimal frequency points, and establish a communication connection between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point; The device further includes: The monitoring module is used to monitor communication effect parameters during the audio transmission communication between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point. The communication effect parameters include at least one of audio drop rate, signal-to-noise ratio, transmission delay, and signal bit error rate. The calculation module is further configured to calculate the communication performance score corresponding to the target optimal frequency point based on the communication performance parameters, and determine whether the communication performance score is less than a preset score threshold. When the communication performance score is less than the score threshold, the target optimal frequency point is determined to be a communication dead point, and the communication dead point and the communication performance parameters are associated and stored in the dead point set. The update module is used to update the set of saturated optimal frequency points based on the set of bad points.

[0019] A third aspect of the present invention discloses another communication frequency selection device based on RSSI, the device comprising: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute some or all of the steps in the RSSI-based communication frequency selection method according to any of the first aspects of the present invention.

[0020] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the RSSI-based communication frequency selection method described in any of the first aspects of the present invention.

[0021] Compared with the prior art, the present invention has the following beneficial effects: In this embodiment of the invention, the target frequency band corresponding to the wireless audio receiver is swept based on a preset step unit to obtain a set of swept frequency points. Peak detection is performed on the set of swept frequency points to obtain at least one peak value of received signal strength and the interference frequency point corresponding to each peak value of received signal strength. Based on each interference frequency point, at least one third-order intermodulation point in the target frequency band is calculated. The set of swept frequency points, each interference frequency point, and each third-order intermodulation point are fitted to obtain a target swept frequency point set. The antenna weighting coefficient of the wireless audio receiver and the center frequency point of the target frequency band are determined. Based on the antenna weighting coefficient and the center frequency point, each target swept frequency point in the target swept frequency point set is weighted to obtain a weighted value of the received signal strength of each target swept frequency point. Based on the weighted value of the received signal strength of each target swept frequency point, the optimal frequency point is selected from each target swept frequency point. It is evident that implementing this invention can comprehensively cover both explicit and implicit third-order intermodulation interference, improve the accuracy and reliability of communication frequency selection, ensure precise matching between the optimal frequency and receiver antenna characteristics, extend communication distance, and simultaneously guarantee the comprehensiveness and accuracy of frequency selection, thereby improving the stability and anti-interference capability of wireless audio communication. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart illustrating a communication frequency selection method based on RSSI disclosed in an embodiment of the present invention; Figure 2 This is a schematic diagram of an RSSI value table disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of another RSSI value table disclosed in an embodiment of the present invention; Figure 4 This is a schematic diagram of another RSSI value table disclosed in an embodiment of the present invention; Figure 5 This is a flowchart illustrating another RSSI-based communication frequency selection method disclosed in an embodiment of the present invention. Figure 6 This is a schematic diagram of the structure of a communication frequency selection device based on RSSI disclosed in an embodiment of the present invention; Figure 7 This is a schematic diagram of another RSSI-based communication frequency selection device disclosed in an embodiment of the present invention; Figure 8This is a schematic diagram of another RSSI-based communication frequency selection device disclosed in an embodiment of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0026] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0027] This invention discloses a communication frequency selection method and apparatus based on RSSI, which can comprehensively cover both dominant interference and latent third-order intermodulation interference, improve the accuracy and reliability of communication frequency selection, accurately match the optimal frequency with the receiver antenna characteristics, extend the communication distance, and ensure the comprehensiveness and accuracy of frequency selection, thereby improving the stability and anti-interference capability of wireless audio communication. Detailed descriptions follow.

[0028] Example 1 Please see Figure 1 , Figure 1 This is a flowchart illustrating a communication frequency selection method based on RSSI disclosed in an embodiment of the present invention. Wherein, Figure 1The described RSSI-based communication frequency selection method can be applied to an RSSI-based communication frequency selection device. This device may include an intelligent server or intelligent platform for intelligently filtering communication frequencies. The intelligent server may be a local server or a cloud server; this embodiment of the invention does not limit the scope. Figure 1 As shown, the RSSI-based communication frequency selection method may include the following operations: 101. Based on the preset step unit, the target frequency band corresponding to the wireless audio receiver is scanned to obtain the set of scan points.

[0029] In this embodiment of the invention, optionally, RSSI represents the received signal strength value, that is, the quantized indication of the signal strength at the current frequency point received by the radio frequency receiver. The value range is 0-255. A larger RSSI value indicates a better signal strength and stronger interference, and vice versa. The preset step unit represents the frequency interval between two adjacent sweep points during frequency sweeping. In this invention, 0.1MHz can be used as the minimum step unit to ensure the precision of the frequency sweep coverage and accurately capture the signal strength of each frequency point. The target frequency band corresponding to the wireless audio receiver can be determined first, for example, 550MHz-608MHz. Then, based on the preset step unit, the target frequency band is swept, sequentially traversing each sweep point and collecting the RSSI value (received signal strength value) of each sweep point. The "sweep point - RSSI value" data is then organized into a sweep point set, which can include multiple sweep points and each sweep point itself. Further details can be found in the following sections. Figure 2 , Figure 2 This is a schematic diagram of an RSSI value table disclosed in an embodiment of the present invention, as shown below. Figure 2 As shown, the RSSI values ​​of each frequency sweep point can be organized into an RSSI value table. The RSSI value table can intuitively display the RSSI value changes and magnitude ratios of each frequency sweep point. This invention does not impose any limitations.

[0030] 102. Perform peak detection on the frequency sweep point set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength. Based on each interference frequency point, calculate at least one third-order intermodulation point in the target frequency band.

[0031] In this embodiment of the invention, optionally, AMPD (Automatic Multi-Scale Peak Finder) can be used to perform peak detection on the frequency sweep set, determine at least one received signal strength peak, and determine the frequency sweep point corresponding to each received signal strength peak as an interference frequency point; for the identified interference frequency points, if there are two or more interference frequency points, the third-order intermodulation formulas 2F1-F2, 2F2-F1 (two frequency point combinations) and F can be used. i +F j -Fk (Multi-frequency point combination) Calculate all possible intermodulation points, and then select the effective intermodulation points that fall within the target frequency band as third-order intermodulation points. This invention does not limit the scope of the invention.

[0032] 103. Fit the set of sweep frequency points, each interference frequency point, and each third-order intermodulation point to obtain the target sweep frequency point set.

[0033] In this embodiment of the invention, optionally, the set of frequency sweep points, each of the interference frequencies, and each of the third-order intermodulation points can be fitted to obtain a target set of frequency sweep points. Specifically, the RSSI values ​​in the original set of frequency sweep points can be used as a basis. The RSSI peak characteristics at the positions corresponding to the interference frequencies are retained, and virtual RSSI peaks (with peak intensity referenced to the RSSI peak values ​​of the corresponding interference frequencies) are generated at the positions corresponding to the third-order intermodulation points. An interpolation smoothing algorithm is then used to fuse and fit the original data with the features of the interference frequencies and the third-order intermodulation points, eliminating data abrupt changes and obtaining a target set of frequency sweep points that comprehensively reflects the actual interference situation. Please refer to [link to relevant documentation]. Figure 3 , Figure 3 This is a schematic diagram of another RSSI value table disclosed in an embodiment of the present invention, as shown below. Figure 3 As shown, Figure 3 Yes Figure 2 The RSSI value table is obtained by fitting the interference frequency point difference to the RSSI value table.

[0034] 104. Determine the antenna weighting coefficients of the wireless audio receiver and the center frequency of the target frequency band. Based on the antenna weighting coefficients and the center frequency, perform weighted calculations on each target frequency sweep point in the target frequency sweep point set to obtain the weighted value of the received signal strength of each target frequency sweep point.

[0035] In this embodiment of the invention, optionally, the antenna weighting coefficient of the wireless audio receiver and the center frequency of the target frequency band can be determined. Specifically, the antenna weighting coefficient can be set according to the matching degree between the resonant frequency of the wireless audio receiver's antenna and the target frequency band. For example, when the deviation between the antenna resonant frequency and the center frequency is ≤10MHz, the coefficient is 0.1. The center frequency can be calculated from the upper and lower limits of the target frequency band, such as: frequency band [630, 698] (unit: MHz), whose center frequency is 664MHz. For each target sweep point in the target sweep point set, its absolute distance from the center frequency is calculated. Then, a weighting term is calculated based on the antenna weighting coefficient and the absolute distance. The received signal strength weighting value is calculated based on the weighting term and the original RSSI value of the target sweep point.

[0036] 105. Based on the weighted value of the received signal strength of each target frequency sweep point, select the optimal frequency point from each target frequency sweep point.

[0037] In this embodiment of the invention, optionally, the weighted values ​​of the received signal strength of all target frequency sweep points are compared, and the target frequency sweep point with the smallest weighted value is selected as the optimal frequency point. This frequency point has the characteristics of low interference and good antenna compatibility, which can ensure stable communication between the receiver and the transmitter.

[0038] It is evident that implementation Figure 1 The described RSSI-based communication frequency selection method can scan the target frequency band corresponding to the wireless audio receiver based on a preset step unit to obtain a set of scanned frequency points. Peak detection is then performed on the scanned frequency point set to obtain at least one peak received signal strength and the corresponding interference frequency point for each peak received signal strength. Based on each interference frequency point, at least one third-order intermodulation point within the target frequency band is calculated. The scanned frequency point set, each interference frequency point, and each third-order intermodulation point are then fitted to obtain the target scanned frequency point set. This determines the antenna weighting coefficients of the wireless audio receiver and the target frequency band. The center frequency is used, and based on the antenna weighting coefficient and the center frequency, a weighted calculation is performed on each target frequency sweep point in the target frequency sweep point set to obtain the weighted value of the received signal strength of each target frequency sweep point. Based on the weighted value of the received signal strength of each target frequency sweep point, the optimal frequency point is selected from each target frequency sweep point to fully cover both explicit interference and implicit third-order intermodulation interference, improve the accuracy and reliability of communication frequency selection, make the optimal frequency point accurately match the characteristics of the receiver antenna, extend the communication distance, and at the same time ensure the comprehensiveness and accuracy of frequency selection, thereby improving the stability and anti-interference capability of wireless audio communication.

[0039] In an optional embodiment, the RSSI-based communication frequency selection method may further include the following operations: Calculate the average signal strength and standard deviation of the signal strength for each received signal strength value in the frequency sweep point set, and calculate the dynamic peak detection threshold based on the average signal strength and standard deviation of the signal strength; Valid frequency sweep points with received signal strength values ​​greater than the dynamic peak detection threshold are selected from the set of frequency sweep points to obtain the set of valid frequency sweep points.

[0040] In this optional embodiment, the received signal strength (RSSI) values ​​of all frequency sweep points in the sweep point set can be extracted, and then the average signal strength and standard deviation of the signal strength of all RSSI values ​​can be calculated. Then, the dynamic peak detection threshold can be calculated based on the 3σ principle. Optionally, the dynamic peak detection threshold can also be a fixed value preset based on experience, such as 120. This embodiment does not limit this.

[0041] In this optional embodiment, each frequency point in the frequency sweep point set can be traversed, and its RSSI value can be compared with the dynamic peak detection threshold. Frequency sweep points with RSSI values ​​greater than the dynamic peak detection threshold are selected to form an effective frequency sweep point set. This set only contains frequency points with significant signal strength, and frequency sweep points with low RSSI values ​​corresponding to noise are removed. Subsequent peak detection is only performed on the effective frequency sweep point set, which can greatly reduce the amount of computation, avoid false peak identification caused by noise interference, and improve the accuracy of peak detection.

[0042] As can be seen, implementing this optional embodiment can calculate the average and standard deviation of the received signal strength values ​​in the frequency sweep set, calculate a dynamic peak detection threshold based on the average and standard deviation, and select a set of valid frequency sweep points with received signal strength values ​​greater than the dynamic peak detection threshold from the frequency sweep set. This allows the peak detection threshold to dynamically adapt to the interference distribution in different scenarios, avoiding false detections or missed detections caused by fixed thresholds. At the same time, limiting the threshold to a reasonable range ensures that all valid frequency sweep points are frequencies with actual interference significance. This not only eliminates redundant data caused by noise interference, simplifies the computation of subsequent peak detection, and improves the efficiency of the algorithm, but also ensures the accuracy of peak detection. This lays a reliable foundation for subsequent interference frequency point identification and third-order intermodulation point calculation, indirectly improving the overall reliability of communication frequency point selection.

[0043] In another optional embodiment, performing peak detection on the frequency sweep set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength may include the following operations: Determine the initial scale parameters; For each effective frequency sweep point in the set of effective frequency sweep points, calculate the left first-order derivative and the right first-order derivative value corresponding to the effective frequency sweep point based on the initial scale parameter. For each valid frequency sweep point in the set of valid frequency sweep points, determine whether the left first derivative value of the valid frequency sweep point is greater than zero and whether the right first derivative value is less than zero. When the left first derivative value is greater than zero and the right first derivative value is less than zero, determine that the received signal strength value of the valid frequency sweep point is the peak value of the received signal strength, and determine that the valid frequency sweep point is an interference frequency point. For each valid frequency sweep point in the set of valid frequency sweep points, when the left first derivative value is less than or equal to zero and / or the right first derivative value is greater than or equal to zero, the initial scale parameter is adjusted to obtain the target scale parameter, and the operation of calculating the left first derivative value and the right first derivative value based on the target scale parameter is triggered.

[0044] In this optional embodiment, the initial scale parameter optionally represents the sampling interval parameter used to calculate the first derivative in the AMPD peak detection algorithm, typically 3-5. For each valid sweep point in the set of valid sweep points, the left and right first derivative values ​​corresponding to that valid sweep point can be calculated based on the initial scale parameter, wherein the left first derivative value is defined as:

[0045] Define the value of the right-hand first derivative as:

[0046] in, This represents the left-hand first derivative value corresponding to the effective sweep point under the initial scale parameter k. This represents the right-hand first derivative value corresponding to the effective sweep point under the initial scale parameter k. This represents the RSSI value of the effective sweep point i. This represents the RSSI value of the k-th valid sweep point to the left of valid sweep point i. This represents the RSSI value of the kth valid sweep point to the right of valid sweep point i, which is not limited in this embodiment.

[0047] In this optional embodiment, for each valid frequency sweep point in the set of valid frequency sweep points, it can be determined whether the left-hand first derivative value of the valid frequency sweep point is greater than zero and whether the right-hand first derivative value is less than zero. When the left-hand first derivative value is greater than zero and the right-hand first derivative value is less than zero, that is, when... and When the signal intensity at effective frequency sweep point i shows a trend of first rising and then falling, which conforms to the characteristics of a peak, the received signal strength at this effective frequency sweep point is determined to be the peak received signal strength (RSSI peak), and the frequency point corresponding to this frequency sweep point is determined to be the interference frequency point. When the left first derivative value is less than or equal to zero and / or the right first derivative value is greater than or equal to zero, it indicates that no peak value is detected under the current scale parameter k, and the scale parameter needs to be adjusted. Specifically, taking the initial scale parameter k=3 as an example, the initial scale parameter can be adjusted sequentially in the order of k=4, k=5, and the first derivative value calculation and peak value determination operation are repeated after each adjustment. Optionally, after obtaining multiple received signal strength peak values ​​and interference frequency points, the frequency difference between adjacent interference frequency points can be calculated. If the difference is less than 0.5MHz, it can be determined as a repeated peak value, such as signal diffusion caused by the same interference source. Therefore, only the peak value with the largest RSSI value and the corresponding interference frequency point are retained. This embodiment does not limit this.

[0048] As can be seen, implementing this optional embodiment can perform sliding window smoothing on the effective frequency sweep point set, determine the initial scale parameters and calculate the left and right first-order derivative values ​​of each effective frequency sweep point, determine the peak value of the received signal strength and the interference frequency points based on the derivative values, dynamically adjust the initial scale parameters to obtain the target scale parameters, and remove duplicate peaks. The smoothing process eliminates interference caused by sudden changes in signal noise, improves the accuracy of weak interference peak identification, avoids peak omissions by adaptively adjusting the scale parameters, adapts to RSSI peak features of different widths, and retains real and independent interference frequency points through deduplication, ensuring the accuracy of interference frequency point identification. This provides accurate input for subsequent third-order intermodulation point calculation and fitting processing, effectively avoids frequency selection bias, and further improves the reliability and anti-interference capability of wireless audio communication frequency point selection.

[0049] In yet another optional embodiment, selecting the optimal frequency point among each target frequency sweep point based on the received signal strength weighted value for each target frequency sweep point may include the following operations: The target frequency point with the smallest weighted value of received signal strength is selected from each target frequency sweep point as the optimal frequency point; The optimal frequency point is determined as the new interference frequency point. Iterative calculations are performed based on the new interference frequency point and each interference frequency point to obtain the set of optimal frequency points corresponding to the target frequency band. Determine the maximum number of communication frequency points corresponding to the target frequency band, and determine whether the number of optimal frequency points in the optimal frequency point set reaches the maximum number of communication frequency points, and whether the number of iterations reaches the preset iteration number threshold; When the number of optimal frequency points reaches the maximum number of communication frequency points, and / or the number of iterations reaches the iteration threshold, the optimal frequency point set is determined as the saturated optimal frequency point set corresponding to the target frequency band, and the saturated optimal frequency point set is output.

[0050] In this optional embodiment, the target frequency point with the smallest weighted value of received signal strength can be selected from each target frequency sweep point as the optimal frequency point. Then, the optimal frequency point is determined as the new interference frequency point, and the new interference frequency point is added to the target frequency sweep point set. Specifically, as shown... Figure 4 As shown, Figure 4 This is a schematic diagram of another RSSI value table disclosed in an embodiment of the present invention, as shown below. Figure 4 As shown, the first recommended frequency point, 563MHz, is added to the RSSI value table, with a corresponding RSSI value of 89. Then, iterative calculations are performed based on the newly added interference frequency point and each interference frequency point to obtain the optimal frequency point set corresponding to the target frequency band. Specifically, based on the updated interference frequency point set, the third-order intermodulation point calculation, frequency point set fitting, weighted calculation, and optimal frequency point selection steps are re-executed to obtain the second optimal frequency point.

[0051] In this optional embodiment, the maximum number of communication frequency points M can be calculated based on the bandwidth of the target frequency band and the optimal distance threshold. The calculation formula is: M = (target frequency band upper limit frequency - target frequency band lower limit frequency) / preset step unit - 2 × optimal distance threshold / preset step unit. When the number of optimal frequency points reaches the maximum number of communication frequency points, and / or the number of iterations reaches the iteration number threshold, the optimal frequency point set is determined as the saturated optimal frequency point set corresponding to the target frequency band, and the saturated optimal frequency point set is output.

[0052] As can be seen, implementing this optional embodiment can select the target frequency sweep point with the smallest weighted value of received signal strength as the optimal frequency point, use this optimal frequency point as a new interference frequency point for iterative calculation to obtain the optimal frequency point set, determine the maximum number of communication frequency points corresponding to the target frequency band, determine the saturated optimal frequency point set based on the number of optimal frequency points and the iteration number threshold, and output it. The optimal frequency point resources are continuously expanded through the iterative mechanism to meet the needs of one receiver paired with multiple transmitters or multiple sets of transmit-receive equipment working together. The maximum number of frequency points is calculated based on the frequency band bandwidth and spacing threshold to avoid excessive frequency point density or resource waste. The iteration number threshold is used to control the infinite iteration to avoid occupying computing resources, taking into account both algorithm efficiency and practicality, fully exploring the available frequency band resources, and significantly improving the adaptability and resource utilization of wireless audio communication in complex radio frequency environments.

[0053] In yet another optional embodiment, the RSSI-based communication frequency selection method may further include the following operations: Determine the target optimal frequency point from the set of saturated optimal frequency points, and establish a communication connection between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point; During the audio transmission communication between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point, the communication effect parameters are monitored. The communication effect parameters include at least one of the following: audio drop rate, signal-to-noise ratio, transmission delay, and signal bit error rate. The communication performance score corresponding to the target optimal frequency point is calculated based on the communication performance parameters, and it is determined whether the communication performance score is less than the preset score threshold. When the communication performance score is less than the score threshold, the target optimal frequency point is determined to be a communication failure point, and the communication failure point and the communication performance parameters are associated and stored in the failure point set. The set of saturated optimal frequency points is updated based on the set of bad points.

[0054] In this optional embodiment, a target optimal frequency point can be determined from the set of saturated optimal frequency points. The target optimal frequency point can be a randomly selected frequency point or the frequency point with the smallest weighted value of received signal strength in the set of saturated optimal frequency points. A communication connection between the wireless audio receiver and the corresponding wireless audio transmitter can be established based on the target optimal frequency point. During the audio transmission communication between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point, communication effect parameters are monitored. The communication effect parameters include at least one of audio drop rate, signal-to-noise ratio, transmission delay, and bit error rate. The audio drop rate is expressed in units of... The ratio of lost audio data packets to the total number of transmitted data packets reflects the continuity of audio transmission, with a preset acceptable standard of less than or equal to 5%. The signal-to-noise ratio (SNR) is the ratio of the useful signal strength to the noise signal strength (in dB), reflecting the purity of the signal, with a preset acceptable standard of greater than or equal to 15 dB. Transmission delay is the time difference (in ms) between the transmission of the audio signal from the transmitter to the receiver's reception and reconstruction, reflecting real-time performance, with a preset acceptable standard of less than or equal to 10 ms. The bit error rate (BER) is the ratio of the number of erroneous bits during transmission to the total number of transmitted bits, reflecting the accuracy of transmission, with a preset acceptable standard of ≤10 BER. -4 This embodiment is not limited.

[0055] In this optional embodiment, the communication effect score corresponding to the target optimal frequency point can be calculated based on the communication effect parameters. The specific scoring rules can be set according to the actual situation. For example, the full score of the communication effect score is 100 points, that is, the sum of the full scores of each communication effect parameter is 100 points. For example, the full score of audio drop rate is 40, signal-to-noise ratio is 30, transmission delay is 20, and signal error rate is 10. If the audio drop rate is less than or equal to 5%, it gets 40 points. For every 1% exceeding the limit, 5 points are deducted, with a minimum of 0 points. Then, the scores of each communication effect parameter are added together to obtain the communication effect score corresponding to the target optimal frequency point. The system determines whether the communication performance score is less than a preset score threshold. If the communication performance score is less than the score threshold, the target optimal frequency point is identified as a communication failure point. The communication failure point and communication performance parameters are associated and stored in the failure point set. The saturated optimal frequency point set is updated based on the failure point set. Specifically, if a communication failure point is recorded ≥3 times in the failure point set, it indicates that the frequency point has a stable performance defect and is permanently removed. If the number of records is <3 times, it indicates that the frequency point may be affected by temporary interference and is temporarily marked. This embodiment does not impose any limitations.

[0056] As can be seen, implementing this optional embodiment can determine the target optimal frequency point and establish a communication connection from the saturated optimal frequency point set. During audio transmission, it monitors communication effect parameters, calculates a communication effect score based on these parameters, identifies communication dead points, stores the dead points in the dead point set, updates the saturated optimal frequency point set, and re-selects frequency points from the updated set to establish connections. It can intuitively verify the actual communication effect of frequency points through quantitative parameters, avoiding the disconnect between the "optimal frequency point" selected by the algorithm and the actual usage effect. By dynamically optimizing the saturated optimal frequency point set through the dead point set, it can eliminate stable dead points and reduce the priority of temporary dead points, while automatically re-selecting points to establish connections. This effectively solves the communication interruption problem caused by frequency point performance attenuation under dynamic interference environment, and significantly improves the continuity, stability and robustness of wireless audio communication.

[0057] Example 2 Please see Figure 5 , Figure 5 This is a flowchart illustrating a communication frequency selection method based on RSSI disclosed in an embodiment of the present invention. Wherein, Figure 5 The described RSSI-based communication frequency selection method can be applied to an RSSI-based communication frequency selection device. This device may include an intelligent server or intelligent platform for intelligently filtering communication frequencies. The intelligent server may be a local server or a cloud server; this embodiment of the invention does not limit the scope. Figure 5 As shown, the RSSI-based communication frequency selection method may include the following operations: 201. Based on the preset step unit, the target frequency band corresponding to the wireless audio receiver is swept to obtain the set of sweep points.

[0058] 202. Perform peak detection on the frequency sweep set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength. Based on each interference frequency point, calculate at least one third-order intermodulation point in the target frequency band.

[0059] 203. Fit the set of sweep frequency points, each interference frequency point, and each third-order intermodulation point to obtain the target sweep frequency point set.

[0060] 204. Sort each target frequency sweep point in the target frequency sweep point set in ascending order according to the received signal strength value to obtain the sorted target frequency sweep point set.

[0061] In this embodiment of the invention, optionally, the original received signal strength (RSSI) values ​​of each target frequency sweep point can be sorted in ascending order to obtain a sorted set of target frequency sweep points. The frequency points at the top of the sorted list are those with lower original interference and are given priority as candidates.

[0062] 205. Obtain the transmitter bandwidth and preset security bandwidth of the wireless audio transmitter, and calculate the first optimal distance threshold based on the transmitter bandwidth and security bandwidth.

[0063] In this embodiment of the invention, optionally, the transmitter bandwidth of the wireless audio transmitter, for example B1=430KHz, and the preset safety bandwidth, for example B2=700KHz, can be obtained. Since the optimal distance needs to cover both the transmitter's own bandwidth and the safety protection bandwidth, and signal drift redundancy needs to be reserved, the calculation logic of transmitter bandwidth + safety bandwidth can be adopted, that is, D0=B1+B2=430KHz+700KHz=1130KHz=1.13MHZ. Considering the intermodulation interference redundancy requirements when multiple transmitters are paired, 1.13MHZ is rounded up to determine the first optimal distance threshold as 2MHZ, corresponding to 20 frequency sweep points in 0.1MHZ steps. This invention does not limit this.

[0064] 206. Count the total number of interference points and third-order intermodulation points in the target frequency sweep point set, and calculate the interference point density based on the total number of interference points and the bandwidth of the target frequency band.

[0065] In this embodiment of the invention, optionally, the total number of interference points N can be obtained by summing the number of interference points and the number of effective third-order intermodulation points in the target frequency sweep point set; the bandwidth W of the target frequency band can be calculated as the upper limit frequency of the target frequency band minus the lower limit frequency of the target frequency band (unit: MHz); and then the interference point density can be calculated according to the formula interference point density ρ=N / W. The interference point density directly reflects the degree of interference congestion in the target frequency band.

[0066] 207. Determine whether the interference point density is greater than the preset interference point density threshold. When the interference point density is greater than the interference point density threshold, determine the second optimal point distance threshold based on the first optimal point distance threshold.

[0067] In this embodiment of the invention, optionally, it can be determined whether the interference point density is greater than a preset interference point density threshold. When the interference point density is less than or equal to the interference point density threshold, it indicates that the interference distribution is relatively sparse, and the first optimal spacing threshold can be directly used for interference avoidance. When the interference point density is greater than the interference point density threshold, it indicates that the interference distribution is relatively dense. If a 2MHz spacing is still used, it may lead to insufficient available frequency points. Therefore, the first optimal spacing threshold is lowered to determine the second optimal spacing threshold, for example, 1MHz, which corresponds to 10 sweep points with a 0.1MHz step. That is, the first optimal spacing threshold is greater than the second optimal spacing threshold, balancing the interference avoidance effect and frequency point utilization. 208. Based on the first optimal point distance threshold or the second optimal point distance threshold, select at least one recommended point from the sorted target sweep frequency point set to obtain the recommended point set.

[0068] In this embodiment of the invention, optionally, based on the selected first optimal point distance threshold (2MHz) or the second optimal point distance threshold (1MHz), the sorted target frequency sweep point set can be traversed. For each frequency point, the frequency difference between it and all interfering frequency points and all effective third-order intermodulation points can be calculated. If the frequency difference between the frequency point and all the above-mentioned interference-related frequency points is not less than the selected point distance threshold, then the frequency point is included in the recommended point set.

[0069] 209. Determine the antenna weighting coefficients of the wireless audio receiver and the center frequency of the target frequency band. Based on the antenna weighting coefficients and the center frequency, perform weighted calculations on each target frequency sweep point in the target frequency sweep point set to obtain the weighted value of the received signal strength of each target frequency sweep point.

[0070] 210. Based on the weighted value of the received signal strength of each target frequency sweep point, select the optimal frequency point from each target frequency sweep point.

[0071] In this embodiment of the invention, it should be noted that for other descriptions of steps 201-203, step 209 and step 210, please refer to the detailed description of steps 101-105 in Embodiment 1 of the invention, and the embodiments of the invention will not repeat them.

[0072] It is evident that implementation Figure 5The described RSSI-based communication frequency selection method can scan the target frequency band corresponding to the wireless audio receiver based on a preset step unit to obtain a set of scanned frequency points. Peak detection is performed on the scanned frequency point set to obtain at least one peak received signal strength and the corresponding interference frequency point. Based on each interference frequency point, at least one third-order intermodulation point within the target frequency band is calculated. The scanned frequency point set, each interference frequency point, and each third-order intermodulation point are fitted to obtain a target scanned frequency point set. Each target scanned frequency point in the target scanned frequency point set is sorted in ascending order of received signal strength value. The transmitter bandwidth of the wireless audio transmitter and a preset safe bandwidth are obtained, and a first optimal distance threshold is calculated. The total number of interference points and the third-order intermodulation points are counted, and the interference point density is calculated. The optimal distance threshold is dynamically determined based on the interference point density. Based on this threshold, a recommended point set is selected from the sorted target scanned frequency point set, prioritizing low-interference frequency points to reduce subsequent computational redundancy. The transmitter bandwidth and... The combination of secure bandwidth ensures the scientific rationality of the spacing threshold. Simultaneously, the threshold is dynamically adjusted based on interference density to balance interference avoidance and frequency utilization, effectively eliminating high-interference-risk frequencies and providing high-quality candidates for subsequent weighted calculations. This further enhances the accuracy and targeting of communication frequency selection, ensuring the anti-interference capability and frequency resource utilization of wireless audio communication. The antenna weighting coefficients of the wireless audio receiver and the center frequency of the target band are determined. Based on these coefficients and the center frequency, a weighted calculation is performed on each target frequency sweep point in the target sweep point set to obtain the received signal strength weighted value for each target frequency sweep point. Based on the received signal strength weighted value for each target frequency sweep point, the optimal frequency point is selected from each target frequency sweep point, comprehensively covering both explicit and implicit third-order intermodulation interference. This improves the accuracy and reliability of communication frequency selection, ensuring precise matching between the optimal frequency point and the receiver antenna characteristics, extending the communication distance, and guaranteeing the comprehensiveness and accuracy of frequency selection, thereby improving the stability and anti-interference capability of wireless audio communication.

[0073] In an optional embodiment, weighting each target frequency sweep point in the target frequency sweep point set according to the antenna weighting coefficient and the center frequency point to obtain the weighted value of the received signal strength of each target frequency sweep point may include the following operations: Determine the spacing weighting coefficient based on the first optimal point distance threshold or the second optimal point distance threshold; For each recommended point in the recommended point set, calculate the first absolute distance between the recommended point and the center frequency point, and calculate the second absolute distance between the recommended point and the nearest interference frequency point or third-order intermodulation point; For each recommended point in the recommended point set, a first weighting term is calculated based on the antenna weighting coefficient and the first absolute distance of the recommended point, and a second weighting term is calculated based on the distance weighting coefficient and the second absolute distance of the recommended point; Calculate the weighted value of the received signal strength for each recommended point based on the received signal strength value, the first weighting term, and the second weighting term.

[0074] In this optional embodiment, the spacing weighting coefficient can be determined based on either the first optimal spacing threshold or the second optimal spacing threshold. Specifically, when the first optimal spacing threshold (2MHz) is used, the spacing weighting coefficient β1 can be set to 0.05. At this time, the interference within the frequency band is relatively sparse, and the impact of spacing on the interference is relatively small, so a smaller weighting coefficient is used. When the second optimal spacing threshold (1MHz) is used, the spacing weighting coefficient β2 can be set to 0.08. At this time, the interference within the frequency band is relatively dense, and the impact of spacing on the interference is more significant, so a larger weighting coefficient is used to highlight the importance of the interference avoidance effect. This embodiment does not impose any limitations.

[0075] In this optional embodiment, for each recommended point in the recommended point set, a first absolute distance can be calculated based on the center frequency of the target frequency band. The first absolute distance is the absolute value of the frequency difference between the center frequency and the recommended point. The smaller the first absolute distance, the closer the recommended point is to the antenna resonant frequency, and the more stable the signal transmission. All interference frequencies and effective third-order intermodulation points can be traversed to find the interference frequency or third-order intermodulation point with the smallest frequency difference from the current recommended point. The absolute value of the frequency difference between the two can be calculated as the second absolute distance. The larger the second absolute distance, the better the isolation effect between the recommended point and the interference source, and the lower the interference risk. This embodiment does not limit this.

[0076] In this optional embodiment, for each recommended point in the recommended point set, a first weighting term can be calculated based on the antenna weighting coefficient and the first absolute distance of the recommended point, i.e., the first weighting term = antenna weighting coefficient * first absolute distance. The first weighting term reflects the influence of antenna adaptability on the frequency point's quality. The larger the first weighting term, the worse the overall frequency point score. A second weighting term can be calculated based on the spacing weighting coefficient and the second absolute distance of the recommended point, i.e., the second weighting term = spacing weighting coefficient * (optimal distance threshold - second absolute distance). When the second absolute distance is greater than or equal to the optimal distance threshold, the second weighting term is non-positive, indicating that the interference avoidance effect meets the standard. When the second absolute distance is less than the optimal distance threshold, the second weighting term is positive, and the larger the second absolute distance, the smaller the second weighting term, highlighting the frequency point's interference avoidance shortcomings. Based on the received signal strength value, the first weighting term, and the second weighting term of each recommended point, the received signal strength weighting value of each recommended point is calculated, that is, received signal strength weighting value = RSSI + first weighting term + second weighting term. This embodiment does not limit this.

[0077] As can be seen, implementing this optional embodiment can determine the spacing weighting coefficient based on the first or second optimal spacing threshold, calculate the first absolute spacing between the recommended point and the center frequency point and the second absolute spacing with the frequency point related to the nearest interference, calculate the first and second weighting terms based on the antenna weighting coefficient and the spacing weighting coefficient respectively, and obtain the received signal strength weighting value by combining the received signal strength value. This makes the weighting logic accurately adapt to different interference scenarios. By comprehensively considering the antenna adaptability and interference avoidance effect through dual absolute spacing, it avoids the limitations of single index evaluation. At the same time, it can adjust the weighting result by combining the bad point table, reduce the priority of historical bad frequency points, make the frequency selection result more in line with actual communication needs, significantly improve the comprehensive performance of the optimal frequency point, and further enhance the stability and adaptability of wireless audio communication.

[0078] Example 3 Please see Figure 6 , Figure 6 This is a schematic diagram of a communication frequency selection device based on RSSI disclosed in an embodiment of the present invention. Figure 6 The described RSSI-based communication frequency selection device may include an intelligent server or intelligent platform for intelligently filtering communication frequencies. The intelligent server may be a local server or a cloud server; this embodiment of the invention does not limit the scope. Figure 6 As shown, the RSSI-based communication frequency selection device may include: The frequency sweeping module is used to sweep the target frequency band corresponding to the wireless audio receiver based on a preset step unit to obtain a set of sweep points. The set of sweep points includes multiple sweep points and the received signal strength value of each sweep point. The peak detection module is used to perform peak detection on the frequency sweep point set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength, and to calculate at least one third-order intermodulation point in the target frequency band based on each interference frequency point. The fitting module is used to fit the set of sweep frequency points, each interference frequency point, and each third-order intermodulation point to obtain the target set of sweep frequency points; The determination module is used to determine the antenna weighting coefficients of the wireless audio receiver and the center frequency of the target frequency band; The calculation module is used to perform weighted calculations on each target frequency sweep point in the target frequency sweep point set based on the antenna weighting coefficients and the center frequency point, so as to obtain the weighted value of the received signal strength of each target frequency sweep point; The filtering module is used to select the optimal frequency point from each target frequency sweep point based on the weighted value of the received signal strength of each target frequency sweep point.

[0079] It is evident that implementation Figure 6The described RSSI-based communication frequency selection device can scan the target frequency band corresponding to the wireless audio receiver based on a preset step unit to obtain a set of scanned frequency points. Peak detection is performed on the scanned frequency point set to obtain at least one peak received signal strength and the corresponding interference frequency point for each peak received signal strength. Based on each interference frequency point, at least one third-order intermodulation point within the target frequency band is calculated. The set of scanned frequency points, each interference frequency point, and each third-order intermodulation point are fitted to obtain the target scanned frequency point set, determining the antenna weighting coefficients of the wireless audio receiver and the target frequency band. The center frequency is used, and based on the antenna weighting coefficient and the center frequency, a weighted calculation is performed on each target frequency sweep point in the target frequency sweep point set to obtain the weighted value of the received signal strength of each target frequency sweep point. Based on the weighted value of the received signal strength of each target frequency sweep point, the optimal frequency point is selected from each target frequency sweep point to fully cover both explicit interference and implicit third-order intermodulation interference, improve the accuracy and reliability of communication frequency selection, make the optimal frequency point accurately match the characteristics of the receiver antenna, extend the communication distance, and at the same time ensure the comprehensiveness and accuracy of frequency selection, thereby improving the stability and anti-interference capability of wireless audio communication.

[0080] In an optional embodiment, such as Figure 7 As shown, the RSSI-based communication frequency selection device may further include: The sorting module is used to sort each target frequency sweep point in the target frequency sweep point set in ascending order according to the received signal strength value, so as to obtain the sorted target frequency sweep point set. The acquisition module is used to acquire the transmitter bandwidth of the wireless audio transmitter and the preset security bandwidth, and calculate the first optimal distance threshold based on the transmitter bandwidth and the security bandwidth. The statistics module is used to count the total number of interference points and third-order intermodulation points in the target frequency sweep point set, and to calculate the interference point density based on the total number of interference points and the bandwidth of the target frequency band. The judgment module is used to determine whether the interference point density is greater than the preset interference point density threshold. When the interference point density is greater than the interference point density threshold, the second optimal point distance threshold is determined according to the first optimal point distance threshold. The first optimal point distance threshold is greater than the second optimal point distance threshold. The filtering module is also used to filter at least one recommended point from the sorted target scan point set based on the first optimal point distance threshold or the second optimal point distance threshold, so as to obtain a recommended point set.

[0081] It is evident that implementation Figure 7The described RSSI-based communication frequency selection device can scan the target frequency band corresponding to the wireless audio receiver based on a preset step unit to obtain a set of scanned frequency points. Peak detection is performed on the scanned frequency point set to obtain at least one peak received signal strength and the corresponding interference frequency point. Based on each interference frequency point, at least one third-order intermodulation point within the target frequency band is calculated. The scanned frequency point set, each interference frequency point, and each third-order intermodulation point are fitted to obtain a target scanned frequency point set. Each target scanned frequency point in the target scanned frequency point set is sorted in ascending order of received signal strength value. The transmitter bandwidth of the wireless audio transmitter and a preset safe bandwidth are obtained, and a first optimal distance threshold is calculated. The total number of interference points and third-order intermodulation points is counted, and the interference point density is calculated. The optimal distance threshold is dynamically determined based on the interference point density. Based on this threshold, a recommended point set is selected from the sorted target scanned frequency point set, prioritizing low-interference frequency points to reduce subsequent calculation redundancy. The transmitter bandwidth and... The combination of secure bandwidth ensures the scientific rationality of the spacing threshold. Simultaneously, the threshold is dynamically adjusted based on interference density to balance interference avoidance and frequency utilization, effectively eliminating high-interference-risk frequencies and providing high-quality candidates for subsequent weighted calculations. This further enhances the accuracy and targeting of communication frequency selection, ensuring the anti-interference capability and frequency resource utilization of wireless audio communication. The antenna weighting coefficients of the wireless audio receiver and the center frequency of the target band are determined. Based on these coefficients and the center frequency, a weighted calculation is performed on each target frequency sweep point in the target sweep point set to obtain the received signal strength weighted value for each target frequency sweep point. Based on the received signal strength weighted value for each target frequency sweep point, the optimal frequency point is selected from each target frequency sweep point, comprehensively covering both explicit and implicit third-order intermodulation interference. This improves the accuracy and reliability of communication frequency selection, ensuring precise matching between the optimal frequency point and the receiver antenna characteristics, extending the communication distance, and guaranteeing the comprehensiveness and accuracy of frequency selection, thereby improving the stability and anti-interference capability of wireless audio communication.

[0082] In another alternative embodiment, such as Figure 7 As shown, the calculation module performs weighted calculations on each target frequency sweep point in the target frequency sweep point set based on the antenna weighting coefficients and the center frequency point. The specific method for obtaining the weighted value of the received signal strength for each target frequency sweep point includes: Determine the spacing weighting coefficient based on the first optimal point distance threshold or the second optimal point distance threshold; For each recommended point in the recommended point set, calculate the first absolute distance between the recommended point and the center frequency point, and calculate the second absolute distance between the recommended point and the nearest interference frequency point or third-order intermodulation point; For each recommended point in the recommended point set, a first weighting term is calculated based on the antenna weighting coefficient and the first absolute distance of the recommended point, and a second weighting term is calculated based on the distance weighting coefficient and the second absolute distance of the recommended point; Calculate the weighted value of the received signal strength for each recommended point based on the received signal strength value, the first weighting term, and the second weighting term.

[0083] It is evident that implementation Figure 7 The described RSSI-based communication frequency selection device can determine the spacing weighting coefficient based on a first or second optimal spacing threshold, calculate the first absolute spacing between the recommended point and the center frequency, and the second absolute spacing with the frequency related to the nearest interference. Based on the antenna weighting coefficient and the spacing weighting coefficient, the first and second weighting terms are calculated respectively, and the received signal strength weighting value is obtained by combining the received signal strength value. This makes the weighting logic accurately adapt to different interference scenarios. By comprehensively considering the antenna adaptability and interference avoidance effect through dual absolute spacing, it avoids the limitations of single index evaluation. At the same time, it can adjust the weighting result by combining the bad point table, reduce the priority of historical bad frequency points, and make the frequency selection result more in line with actual communication needs, significantly improve the comprehensive performance of the optimal frequency point, and further enhance the stability and adaptability of wireless audio communication.

[0084] In yet another alternative embodiment, such as Figure 7 As shown, the calculation module is also used to calculate the average signal strength and standard deviation of the signal strength for each received signal strength value in the frequency sweep point set, and to calculate the dynamic peak detection threshold based on the average signal strength and standard deviation of the signal strength. The filtering module is also used to filter valid frequency sweep points in the set of frequency sweep points whose received signal strength values ​​are greater than the dynamic peak detection threshold, so as to obtain a set of valid frequency sweep points.

[0085] It is evident that implementation Figure 7 The described RSSI-based communication frequency selection device can calculate the average and standard deviation of the received signal strength values ​​in the frequency sweep set. Based on these average and standard deviation values, a dynamic peak detection threshold is calculated. The device then filters out valid frequency sweep points whose received signal strength values ​​are greater than the dynamic peak detection threshold. This allows the peak detection threshold to dynamically adapt to the interference distribution in different scenarios, avoiding false detections or missed detections caused by fixed thresholds. Simultaneously, by limiting the threshold to a reasonable range, it ensures that all valid frequency sweep points are frequencies with actual interference significance. This eliminates redundant data caused by noise interference, simplifies the computational workload of subsequent peak detection, improves algorithm efficiency, and guarantees the accuracy of peak detection. This lays a reliable foundation for subsequent interference frequency identification and third-order intermodulation point calculation, indirectly improving the overall reliability of communication frequency selection.

[0086] In yet another alternative embodiment, such as Figure 7 As shown, the peak detection module performs peak detection on the frequency sweep set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength. The specific methods include: Determine the initial scale parameters; For each effective frequency sweep point in the set of effective frequency sweep points, calculate the left first-order derivative and the right first-order derivative value corresponding to the effective frequency sweep point based on the initial scale parameter. For each valid frequency sweep point in the set of valid frequency sweep points, determine whether the left first derivative value of the valid frequency sweep point is greater than zero and whether the right first derivative value is less than zero. When the left first derivative value is greater than zero and the right first derivative value is less than zero, determine that the received signal strength value of the valid frequency sweep point is the peak value of the received signal strength, and determine that the valid frequency sweep point is an interference frequency point. For each valid frequency sweep point in the set of valid frequency sweep points, when the left first derivative value is less than or equal to zero and / or the right first derivative value is greater than or equal to zero, the initial scale parameter is adjusted to obtain the target scale parameter, and the operation of calculating the left first derivative value and the right first derivative value based on the target scale parameter is triggered.

[0087] It is evident that implementation Figure 7 The described RSSI-based communication frequency selection device can perform sliding window smoothing on the effective frequency sweep set, determine the initial scale parameter and calculate the left and right first-order derivative values ​​of each effective frequency sweep point. Based on the derivative values, it determines the peak value of the received signal strength and the interference frequency points, dynamically adjusts the initial scale parameter to obtain the target scale parameter, and removes duplicate peaks. Through smoothing, it eliminates interference caused by sudden changes in signal noise, improves the accuracy of weak interference peak identification, avoids peak omissions by adaptive adjustment of the scale parameter, adapts to RSSI peak features of different widths, and retains real and independent interference frequency points through deduplication, ensuring the accuracy of interference frequency point identification. This provides accurate input for subsequent third-order intermodulation point calculation and fitting, effectively avoids frequency selection bias, and further improves the reliability and anti-interference capability of wireless audio communication frequency selection.

[0088] In yet another alternative embodiment, such as Figure 7 As shown, the filtering module selects the optimal frequency point from each target frequency sweep point based on the weighted value of the received signal strength. The specific methods include: The target frequency point with the smallest weighted value of received signal strength is selected from each target frequency sweep point as the optimal frequency point; The optimal frequency point is determined as the new interference frequency point. Iterative calculations are performed based on the new interference frequency point and each interference frequency point to obtain the set of optimal frequency points corresponding to the target frequency band. Determine the maximum number of communication frequency points corresponding to the target frequency band, and determine whether the number of optimal frequency points in the optimal frequency point set reaches the maximum number of communication frequency points, and whether the number of iterations reaches the preset iteration number threshold; When the number of optimal frequency points reaches the maximum number of communication frequency points, and / or the number of iterations reaches the iteration threshold, the optimal frequency point set is determined as the saturated optimal frequency point set corresponding to the target frequency band, and the saturated optimal frequency point set is output.

[0089] It is evident that implementation Figure 7 The described RSSI-based communication frequency selection device can screen the target frequency point with the smallest weighted value of received signal strength as the optimal frequency point. This optimal frequency point is then used as a new interference frequency point for iterative calculation to obtain the optimal frequency point set. The maximum number of communication frequency points corresponding to the target frequency band is determined. Based on the number of optimal frequency points and the iteration number threshold, the saturated optimal frequency point set is determined and output. The optimal frequency point resources are continuously expanded through an iterative mechanism to meet the needs of pairing one receiver with multiple transmitters or multiple sets of transmit-receive equipment working together. The maximum number of frequency points is calculated based on the frequency band bandwidth and spacing threshold to avoid excessive frequency point density or resource waste. The iteration number threshold is used to control the infinite iteration to avoid occupying computing resources. The device balances algorithm efficiency and practicality, fully explores the available frequency band resources, and significantly improves the adaptability and resource utilization of wireless audio communication in complex radio frequency environments.

[0090] In yet another alternative embodiment, such as Figure 7 As shown, the determining module is also used to determine the target optimal frequency point in the set of saturated optimal frequency points, and to establish a communication connection between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point. The RSSI-based communication frequency selection device may also include: The monitoring module is used to monitor communication performance parameters during audio transmission communication between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point. The communication performance parameters include at least one of audio drop rate, signal-to-noise ratio, transmission delay, and signal bit error rate. The calculation module is also used to calculate the communication effect score corresponding to the target optimal frequency point based on the communication effect parameters, and to determine whether the communication effect score is less than the preset score threshold. When the communication effect score is less than the score threshold, the target optimal frequency point is determined to be a communication bad point, and the communication bad point and the communication effect parameters are associated and stored in the bad point set. The update module is used to update the set of saturated optimal frequency points based on the set of bad points.

[0091] It is evident that implementation Figure 7The described RSSI-based communication frequency selection device can determine the target optimal frequency point from the saturated optimal frequency point set and establish a communication connection. During audio transmission, it monitors communication performance parameters, calculates a communication performance score based on these parameters, identifies communication dead points, stores the dead points in a dead point set, and updates the saturated optimal frequency point set. It then re-selects frequency points from the updated set to establish a connection. By quantifying parameters, it intuitively verifies the actual communication performance of the frequency points, avoiding the disconnect between the "optimal frequency point" selected by the algorithm and the actual usage effect. It dynamically optimizes the saturated optimal frequency point set through the dead point set, eliminating stable dead points and reducing the priority of temporary dead points. At the same time, it automatically re-selects points to establish a connection, effectively solving the communication interruption problem caused by frequency performance attenuation under dynamic interference environments, and significantly improving the continuity, stability, and robustness of wireless audio communication.

[0092] Example 4 Please see Figure 8 , Figure 8 This is a schematic diagram of another RSSI-based communication frequency selection device disclosed in an embodiment of the present invention. Figure 8 As shown, the RSSI-based communication frequency selection device may include: Memory 401 storing executable program code; Processor 402 coupled to memory 401; The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the RSSI-based communication frequency selection method described in Embodiment 1 or Embodiment 2 of the present invention.

[0093] Example 5 This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute some or all of the steps in any RSSI-based communication frequency selection method disclosed in Embodiment 1 of this invention.

[0094] Example 6 This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the RSSI-based communication frequency selection method described in Embodiment 1 or Embodiment 2.

[0095] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0096] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0097] Finally, it should be noted that the RSSI-based communication frequency selection method and apparatus disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for RSSI-based selection of a communication frequency point, characterized in that, The method includes: Based on a preset step unit, the target frequency band corresponding to the wireless audio receiver is swept to obtain a set of sweep points. The set of sweep points includes multiple sweep points and the received signal strength value of each sweep point. Peak detection is performed on the frequency sweep point set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength. Based on each interference frequency point, at least one third-order intermodulation point in the target frequency band is calculated. The target sweep point set is obtained by fitting the sweep point set, each interference frequency point, and each third-order intermodulation point. The antenna weighting coefficients of the wireless audio receiver and the center frequency of the target frequency band are determined. Based on the antenna weighting coefficients and the center frequency, a weighted calculation is performed on each target frequency sweep point in the target frequency sweep point set to obtain the received signal strength weighted value of each target frequency sweep point. Based on the weighted value of the received signal strength of each target frequency sweep point, the optimal frequency point is selected from each target frequency sweep point. 2.The RSSI-based communication frequency selection method of claim 1, wherein, The method further includes: Each target frequency sweep point in the target frequency sweep point set is sorted in ascending order according to the received signal strength value to obtain the sorted target frequency sweep point set. Obtain the transmitter bandwidth of the wireless audio transmitter and the preset security bandwidth, and calculate the first optimal distance threshold based on the transmitter bandwidth and the security bandwidth; The total number of interference points in the target frequency sweep point set, including the interference frequency points and the third-order intermodulation points, is counted, and the interference point density is calculated based on the total number of interference points and the bandwidth of the target frequency band. Determine whether the interference point density is greater than a preset interference point density threshold. When the interference point density is greater than the interference point density threshold, determine a second optimal point distance threshold based on the first optimal point distance threshold. The first optimal point distance threshold is greater than the second optimal point distance threshold. Based on the first optimal point distance threshold or the second optimal point distance threshold, at least one recommended point is selected from the sorted target frequency sweep point set to obtain a recommended point set. 3.The RSSI-based communication frequency selection method of claim 2, wherein, The step of performing a weighted calculation on each target frequency sweep point in the target frequency sweep point set based on the antenna weighting coefficient and the center frequency point to obtain a weighted value of the received signal strength for each target frequency sweep point includes: The spacing weighting coefficient is determined based on either the first optimal point distance threshold or the second optimal point distance threshold. For each of the recommended points in the set of recommended points, calculate the first absolute distance between the recommended point and the center frequency point, and calculate the second absolute distance between the recommended point and the nearest interference frequency point or third-order intermodulation point; For each of the recommended points in the set of recommended points, a first weighting term is calculated based on the antenna weighting coefficient and the first absolute distance of the recommended point, and a second weighting term is calculated based on the distance weighting coefficient and the second absolute distance of the recommended point; The received signal strength weighted value for each recommended point is calculated based on the received signal strength value, the first weighting term, and the second weighting term for each recommended point.

4. The RSSI-based communication frequency selection method according to any one of claims 1-3, characterized by, The method further includes: Calculate the average signal strength and standard deviation of the signal strength for each received signal strength value in the frequency sweep point set, and calculate the dynamic peak detection threshold based on the average signal strength and standard deviation of the signal strength; Valid frequency sweep points with received signal strength values ​​greater than the dynamic peak detection threshold are selected from the set of frequency sweep points to obtain a set of valid frequency sweep points.

5. The RSSI-based communication frequency selection method of claim 4, wherein, The step of performing peak detection on the frequency sweep set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength includes: Determine the initial scale parameters; For each effective frequency sweep point in the set of effective frequency sweep points, the left first-order derivative and the right first-order derivative corresponding to the effective frequency sweep point are calculated based on the initial scale parameter. For each valid frequency sweep point in the set of valid frequency sweep points, determine whether the left first derivative value of the valid frequency sweep point is greater than zero and whether the right first derivative value is less than zero. When the left first derivative value is greater than zero and the right first derivative value is less than zero, determine that the received signal strength value of the valid frequency sweep point is the peak value of the received signal strength, and determine that the valid frequency sweep point is an interference frequency point. For each valid frequency sweep point in the set of valid frequency sweep points, when the left first derivative value is less than or equal to zero and / or the right first derivative value is greater than or equal to zero, the initial scale parameter is adjusted to obtain the target scale parameter, and the operation of calculating the left first derivative value and the right first derivative value based on the target scale parameter is triggered.

6. The RSSI-based communication frequency selection method according to any one of claims 1-3, characterized by, The step of selecting the optimal frequency point from each target frequency sweep point based on the weighted value of the received signal strength of each target frequency sweep point includes: Among each target frequency sweep point, the target frequency sweep point with the smallest weighted value of received signal strength is selected as the optimal frequency point; The optimal frequency point is determined as the new interference frequency point, and iterative calculation is performed based on the new interference frequency point and each interference frequency point to obtain the set of optimal frequency points corresponding to the target frequency band. Determine the maximum number of communication frequency points corresponding to the target frequency band, and determine whether the number of optimal frequency points in the optimal frequency point set reaches the maximum number of communication frequency points, and determine whether the number of iterations reaches a preset iteration number threshold; When the number of optimal frequency points reaches the maximum number of communication frequency points, and / or the number of iterations reaches the iteration number threshold, the set of optimal frequency points is determined to be the set of saturated optimal frequency points corresponding to the target frequency band, and the set of saturated optimal frequency points is output. 7.The RSSI-based communication frequency selection method of claim 6, wherein, The method further includes: Determine the target optimal frequency point from the set of saturated optimal frequency points, and establish a communication connection between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point; During the audio transmission communication between the wireless audio receiver and the corresponding wireless audio transmitter based on the target optimal frequency point, communication effect parameters are monitored. These communication effect parameters include at least one of audio drop rate, signal-to-noise ratio, transmission delay, and signal bit error rate. The communication performance score corresponding to the target optimal frequency point is calculated based on the communication performance parameters, and it is determined whether the communication performance score is less than a preset score threshold. When the communication performance score is less than the score threshold, the target optimal frequency point is determined to be a communication dead point, and the communication dead point and the communication performance parameters are associated and stored in the dead point set. The set of optimal saturation frequencies is updated based on the set of bad points.

8. A communication frequency selection device based on RSSI, characterized in that, The device includes: The frequency sweeping module is used to sweep the target frequency band corresponding to the wireless audio receiver based on a preset step unit to obtain a set of sweeping points. The set of sweeping points includes multiple sweeping points and the received signal strength value of each sweeping point. The peak detection module is used to perform peak detection on the frequency sweep point set to obtain at least one peak value of the received signal strength and the interference frequency point corresponding to each peak value of the received signal strength, and to calculate at least one third-order intermodulation point in the target frequency band based on each interference frequency point. The fitting module is used to fit the set of frequency sweep points, each of the interference frequency points, and each of the third-order intermodulation points to obtain the target set of frequency sweep points. The determining module is used to determine the antenna weighting coefficients of the wireless audio receiver and the center frequency of the target frequency band; The calculation module is used to perform weighted calculations on each target frequency sweep point in the target frequency sweep point set according to the antenna weighting coefficient and the center frequency point, so as to obtain the received signal strength weighted value of each target frequency sweep point; The filtering module is used to filter the optimal frequency point among the target frequency sweep points according to the weighted value of the received signal strength of each target frequency sweep point.

9. A communication frequency selection device based on RSSI, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the RSSI-based communication frequency selection method as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the RSSI-based communication frequency selection method as described in any one of claims 1-7.

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