Interphone frequency matching method and interphone

Abstract

The invention relates to the technical field of frequency matching, in particular to a frequency matching method of an interphone and the interphone, and the method comprises the following steps: based on an interphone frequency signal, measuring the signal intensity of each channel, counting the intensity change of the signal in a target time period, and evaluating the signal interference level of the interphone. According to the method, the channel with the best performance is effectively screened out through careful measurement and ratio calculation of the signals and the interference of the interphone channels, the communication quality is improved, interference suppression and channel performance adjustment are more accurate through analysis of the interference source and accurate identification and classification of the interference, and through continuous analysis of the signals and the interference, the communication quality is improved. According to the invention, stable channel performance can be realized, the communication efficiency of the interphone can be improved, and through frequent monitoring and dynamic adjustment of channel configuration, the working environment change can be adapted, so that the communication path is continuously optimized, the influence of interference is reduced, and the stability and reliability of interphone communication are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of frequency matching, and in particular to a frequency matching method for an intercom and an intercom. Background Art

[0002] Frequency matching technology involves frequency adjustment and synchronization in wireless communication systems to ensure effective communication between communication devices, including but not limited to walkie-talkies, radios, mobile phones and other devices. The core purpose of frequency matching is to avoid communication interference and signal loss by ensuring that two or more devices operate on the same or compatible frequencies. This involves frequency selection, allocation and frequency management in a multi-user environment. Frequency matching technology is widely used, ranging from simple walkie-talkies used in outdoor activities to complex military and emergency response communication systems.

[0003] Among them, the frequency matching method of walkie-talkies is a technology that ensures that two or more walkie-talkies can communicate on the same channel. Its main purpose is to ensure that all personnel's walkie-talkies are set to the same communication frequency in situations where team collaboration is required (such as construction sites, security patrols or outdoor activities). Frequency matching allows users to adjust the frequency settings of walkie-talkies according to different communication needs, enhance communication efficiency and confidentiality, and by correctly matching frequencies, interference can be minimized to ensure clarity and reliability of communication.

[0004] Existing technologies lack the ability to dynamically identify and adjust specific interference sources. In actual operations, frequency selection and allocation are often based on experience rather than analysis of real-time data, which cannot cope with frequently changing interference problems in complex communication environments. For example, in a multi-user environment, failure to dynamically adjust the channel will lead to signal interference and reduced communication quality, affecting the efficiency of team collaboration. In addition, existing technologies do not include analysis of interference fluctuation trends in frequency management, which limits the ability to adapt to environmental changes in long-term operations, thereby leading to the risk of communication failure or poor signal quality at critical moments. Summary of the invention

[0005] In order to solve the problem that the existing technology lacks the ability to dynamically identify and adjust specific interference sources, in actual operation, frequency selection and allocation are often based on experience rather than analysis of real-time data, which cannot cope with the frequently changing interference problems in complex communication environments. For example, in a multi-user environment, if the channel is not adjusted dynamically, it will lead to signal interference and a decrease in communication quality, affecting the efficiency of teamwork. In addition, the existing technology does not include analysis of interference fluctuation trends in frequency management, which limits the ability to adapt to environmental changes in long-term operation, thereby causing the risk of communication failure or poor signal quality at critical moments. The embodiment of the present invention provides a frequency matching method and walkie-talkie for walkie-talkies. The technical solution is as follows: On the one hand, a frequency matching method of a walkie-talkie is provided, comprising the following steps: S1: Based on the intercom frequency signal, the signal strength of each channel is measured, the signal strength changes in the target time period are counted, the signal interference level of the intercom is evaluated, the ratio of signal to interference strength is calculated, and the optimal channel is selected according to the ratio to obtain the channel quality score; S2: Based on the channel quality score, extract the channel signal with interference in the walkie-talkie, analyze the frequency component of the interference signal, identify the type of interference signal according to the signal strength fluctuation characteristics and frequency occupancy, and determine the interference source to obtain the signal interference source type; S3: Based on the type of the signal interference source, adjust the filter parameters of the intercom channel signal, perform targeted suppression on the determined interference signal, analyze the average amplitude and fluctuation rate of the adjusted signal, evaluate the transmission clarity and stability of the channel, and obtain the adjusted channel performance data; S4: Based on the adjusted channel performance data, analyzing the modulation characteristic value of the current channel signal of the intercom, comparing the signal characteristics between multiple channels, identifying the channel with the best signal stability and interference strength, and obtaining the optimal channel frequency configuration; S5: Based on the optimal channel frequency configuration, regularly monitor the frequency occupancy status of the intercom channel, analyze the interference fluctuation trend, and reallocate the intercom channel frequency according to the analysis result to obtain the intercom frequency band adaptation result.

[0006] On the other hand, the channel quality score includes signal strength index, interference ratio, and scoring criteria; the signal interference source type includes interference frequency band, signal morphology, and source location identification results; the adjusted channel performance data includes transmission clarity level, signal stability index, and filtering effect evaluation results; the optimal channel frequency configuration includes modulation feature comparison information, signal stability ranking results, and interference minimized channel; the walkie-talkie frequency band adaptation results include channel reallocation plan, usage status monitoring, and fluctuation trend analysis results.

[0007] On the other hand, based on the intercom frequency signal, the signal strength of each channel is measured, the signal strength changes in the target time period are counted, the signal interference level of the intercom is evaluated, the ratio of signal to interference strength is calculated, and the optimal channel is selected based on the ratio. The specific steps to obtain the channel quality score are as follows: S101: Based on the intercom frequency signal, the signal strength of each channel is measured, the signal values ​​are arranged according to the time axis, the curve of the change of the signal amplitude over time is segmented and statistically analyzed, and the distribution characteristics of the signal strength are normalized to obtain the channel signal strength distribution characteristics; S102: based on the channel signal strength distribution characteristics, extract the signal strength and the corresponding noise interference strength parameter for each channel, calculate the ratio of the signal to the interference strength, sort the multiple channels according to the size of the ratio, mark the channel with the largest ratio as the optimal channel, and obtain the signal-to-interference ratio sorting result; S103: Based on the signal-to-interference ratio ranking results, collect the channel number and corresponding signal performance data of the channel with the largest ratio, record the channel with the second best ratio, and compare it with the measured intensity curve and noise to determine the channel quality difference and obtain the channel quality score.

[0008] On the other hand, based on the channel quality score, the channel signal with interference in the walkie-talkie is extracted, the frequency component of the interference signal is analyzed, and the interference signal type is identified according to the signal strength fluctuation characteristics and frequency occupancy, and the interference source is determined. The steps of obtaining the signal interference source type are specifically as follows: S201: Based on the channel quality score, separate the signal frequency component and the interference frequency component, determine the amplitude change interval of the signal main frequency and the interference frequency, segment the interval according to the frequency characteristics, and analyze the main frequency strength and interference frequency width section by section by comparing the frequency change law to obtain the channel frequency component characteristics; S202: Based on the characteristics of the channel frequency components, analyze the amplitude fluctuation characteristics of the interference frequency, combine the signal frequency range and the known interference frequency characteristics, count the overlapping area of ​​the interference frequency distribution and the device signal, identify the interference signal type, and obtain the channel interference signal type; S203: Based on the channel interference signal type, locate the source of the interference signal, analyze the distribution range of the interference frequency by comparing it with the typical frequency parameters of the device, determine the interference source, and obtain the signal interference source type.

[0009] On the other hand, based on the type of signal interference source, the filtering parameters of the intercom channel signal are adjusted, the determined interference signal is suppressed in a targeted manner, and the average amplitude and fluctuation rate of the adjusted signal are analyzed to evaluate the transmission clarity and stability of the channel. The steps of obtaining the adjusted channel performance data are specifically as follows: S301: Based on the type of the signal interference source, adjust the filter parameters of the intercom channel signal, set the cutoff frequency and response characteristics of the filter, match the frequency characteristics of the target interference source, reduce the impact of the interference signal, and perform targeted suppression to obtain filter parameter adjustment information; S302: Based on the filtering parameter adjustment information, collect the filtered signal, measure the average amplitude and fluctuation rate of the adjusted signal, and analyze the stability change of the signal to obtain a signal stability parameter; S303: Based on the signal stability parameter, evaluate the transmission clarity and stability of the channel, monitor the effects of signal attenuation and interference reduction, determine the degree of improvement of signal quality, and obtain adjusted channel performance data.

[0010] On the other hand, the filter parameters of the intercom channel signal are adjusted to set the cutoff frequency and response characteristics of the filter, using the formula: ; Calculate filter adjustment value , optimize the filtering effect of the intercom channel signal, where f represents the current operating frequency, represents the cutoff frequency of the filter, Represents the absolute value of the difference between the current frequency and the cutoff frequency.

[0011] On the other hand, based on the adjusted channel performance data, the modulation characteristic value of the current channel signal of the intercom is analyzed, the signal characteristics between multiple channels are compared, and the channel with the best signal stability and interference strength is identified. The steps of obtaining the optimal channel frequency configuration are specifically as follows: S401: Based on the adjusted channel performance data, the modulation depth and frequency response of the channel signal are analyzed, the signal modulation characteristics are disassembled, the modulation depth, frequency response curve and amplitude change of the difference channels are compared one by one, the amplitude fluctuation range of the modulation characteristics and the frequency variation range are analyzed, and the modulation characteristic fluctuation range is obtained; S402: Based on the modulation characteristic fluctuation range, compare the signal characteristics between multiple channels, evaluate the signal stability of multiple channels, perform a horizontal comparison between the signal stability and the interference intensity, identify the channel with the best performance, and obtain a signal stability evaluation result; S403: Based on the signal stability evaluation result, a channel with the best signal stability and interference strength is selected, the channel is marked and set as a main channel, and an optimal channel frequency configuration is obtained.

[0012] On the other hand, the signal characteristics between multiple channels are compared and the signal stability of multiple channels is evaluated by using the formula: ; Compute the stability eigenvalues, where represents the signal stability characteristic value of channel i, represents the signal value of channel i measured at the kth time, represents the average signal value of channel i, n represents the total number of measurements, Represents the absolute difference between the kth measured signal value and the average value.

[0013] On the other hand, based on the optimal channel frequency configuration, the frequency occupancy status of the intercom channel is regularly monitored, the interference fluctuation trend is analyzed, and the channel frequency of the intercom is reallocated according to the analysis result to obtain the intercom frequency band adaptation result. Specifically, the steps are as follows: S501: Based on the optimal channel frequency configuration, regularly capture the usage frequency and occupancy time of multiple channels of the walkie-talkie, record the signal occupancy time of each channel, and count the occupancy density and duration distribution of multiple channel frequencies to obtain the channel occupancy status; S502: Based on the channel occupancy status, analyze the signal interference fluctuation of each channel, monitor the changes in signal strength and frequency, identify the key types and change trends of interference, and obtain interference change characteristics; S503: Based on the interference change characteristics, readjust the channel allocation of the walkie-talkie according to the interference analysis data, adjust the walkie-talkie channel configuration according to the frequency occupancy and interference fluctuation law, match the current interference environment, and obtain the walkie-talkie frequency band adaptation result.

[0014] On the other hand, a walkie-talkie is provided, and the walkie-talkie is applied to a frequency matching method of the walkie-talkie, comprising: The channel signal measurement module measures the signal strength of each channel based on the intercom frequency signal, evaluates the signal interference level of the intercom, calculates the ratio of signal to interference strength, and selects the channel with the best signal to interference ratio to obtain the channel quality score; The interference signal identification module performs frequency distribution segmentation analysis on the interference signal based on the channel quality score, identifies the interference signal type, determines the interference source, and obtains the signal interference source type; The frequency filter adjustment module adjusts the filter parameters of the intercom channel signal based on the type of the signal interference source, performs targeted suppression on the determined interference signal, and re-analyzes the adjusted signal to obtain adjusted channel performance data; The modulation characteristic analysis module analyzes the modulation characteristic value of the current channel signal of the intercom based on the adjusted channel performance data, identifies the channel with the best signal stability and interference strength, and obtains the optimal channel frequency configuration; Based on the optimal channel frequency configuration, the channel frequency monitoring module regularly monitors the occupancy status of the intercom channel frequency, analyzes the interference fluctuation trend, reallocates the channel frequency of the intercom, and obtains the intercom frequency band adaptation result.

[0015] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least: By carefully measuring and calculating the ratio of the signal and interference of the walkie-talkie channel, the channel with the best performance can be effectively screened out, thereby improving the communication quality. By analyzing the interference source and accurately identifying and classifying the interference, interference suppression and channel performance adjustment can be made more precise. Through continuous signal and interference analysis, stable channel performance can be achieved, and the communication efficiency of the walkie-talkie can be improved. Through frequent monitoring and dynamic adjustment of the channel configuration, it can adapt to changes in the operating environment, thereby continuously optimizing the communication path, reducing the impact of interference, and ensuring the stability and reliability of walkie-talkie communications. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 It is a main step flow chart of the present invention; Figure 2 is a flow chart of the steps of S1 of the present invention; Figure 3 is a flow chart of the steps of S2 of the present invention; Figure 4 is a flow chart of the steps of S3 of the present invention; Figure 5 is a flow chart of the steps of S4 of the present invention; Figure 6 is a flow chart of the steps of S5 of the present invention; Figure 7 It is a module diagram of the intercom of the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0019] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0020] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0021] In the embodiments of the present invention, sometimes the subscripts are as follows It may be written in non-subscript form as , when the difference is not emphasized, the meaning they express is the same.

[0022] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0023] The embodiment of the present invention provides a frequency matching method for a walkie-talkie, such as Figure 1 As shown, the following steps are included: S1: Based on the intercom frequency signal, the signal strength of each channel is measured, the signal strength changes in the target time period are counted, the signal interference level of the intercom is evaluated, the ratio of signal to interference strength is calculated, and the optimal channel is selected according to the ratio to obtain the channel quality score; S2: Based on the channel quality score, extract the channel signal with interference in the walkie-talkie, analyze the frequency component of the interference signal, identify the type of interference signal according to the signal strength fluctuation characteristics and frequency occupancy, determine the interference source, and obtain the type of signal interference source; S3: Based on the type of signal interference source, adjust the filter parameters of the intercom channel signal, perform targeted suppression on the determined interference signal, analyze the average amplitude and fluctuation rate of the adjusted signal, evaluate the transmission clarity and stability of the channel, and obtain the adjusted channel performance data; S4: Based on the adjusted channel performance data, analyze the modulation characteristic value of the current channel signal of the walkie-talkie, compare the signal characteristics between multiple channels, identify the channel with the best signal stability and interference strength, and obtain the optimal channel frequency configuration; S5: Based on the optimal channel frequency configuration, regularly monitor the frequency occupancy status of the intercom channel, analyze the interference fluctuation trend, and reallocate the intercom channel frequency according to the analysis results to obtain the intercom frequency band adaptation result.

[0024] The channel quality score includes signal strength index, interference ratio, and scoring criteria. The signal interference source type includes interference frequency band, signal morphology, and source location identification results. The adjusted channel performance data includes transmission clarity level, signal stability index, and filtering effect evaluation results. The optimal channel frequency configuration includes modulation feature comparison information, signal stability ranking results, and interference minimized channel. The walkie-talkie frequency band adaptation results include channel reallocation plan, usage status monitoring, and fluctuation trend analysis results.

[0025] like Figure 2 As shown in the figure, based on the intercom frequency signal, the signal strength of each channel is measured, the signal strength changes in the target time period are counted, the signal interference level of the intercom is evaluated, the ratio of signal to interference strength is calculated, and the optimal channel is selected according to the ratio. The specific steps for obtaining the channel quality score are as follows: S101: Based on the intercom frequency signal, the signal strength of each channel is measured, the signal values ​​are arranged according to the time axis, the curve of the change of the signal amplitude over time is segmented and statistically analyzed, and the distribution characteristics of the signal strength are normalized to obtain the channel signal strength distribution characteristics; By receiving the frequency signal of the walkie-talkie, setting the scanning frequency range and step value, and using the signal receiving device to scan the signals of different channels in turn, each scan captures the signal strength value of the channel, and records the strength value as time series data. Subsequently, the acquired signal strength time series is segmented according to fixed time intervals, and the signal strength changes in each period are statistically analyzed, and the maximum, minimum and average values ​​of the signal amplitude in each period are recorded. After that, the entire signal strength sequence is normalized, and the signal strength values ​​in each time period are standardized through a unified ratio. During the normalization process, the signal strength ratio range is adjusted according to the maximum and minimum values ​​in each period. After normalization, the signal strength data is arranged according to the time axis, and a curve graph showing the change of signal amplitude over time is drawn. At the same time, the distribution characteristics of the normalized signal strength are statistically analyzed to obtain the channel signal strength distribution characteristics.

[0026] S102: based on the channel signal strength distribution characteristics, extract the signal strength and the corresponding noise interference strength parameter for each channel, calculate the ratio of the signal to the interference strength, sort the multiple channels according to the size of the ratio, mark the channel with the largest ratio as the optimal channel, and obtain the signal-to-interference ratio sorting result; Analyze the characteristic values ​​in each channel signal, including the peak value, average value and minimum value of the signal, and then measure the background noise intensity through the noise detection module. During noise detection, the noise level in different frequency ranges can be analyzed based on the average energy of the signal. The signal strength value of each channel is compared with the corresponding noise strength data, and the ratio of signal strength to noise strength is calculated. This ratio represents the comparison between signal and interference. Then, sort the signals of each channel according to their ratios, mark the channel with the largest ratio and the smallest signal interference as the optimal channel, and sort the remaining channels according to the ratio from large to small to generate the signal-interference ratio sorting result.

[0027] S103: Based on the signal-to-interference ratio ranking results, collect the channel number and corresponding signal performance data of the channel with the largest ratio, record the channel with the second best ratio, and compare it with the measured strength curve and noise to determine the channel quality difference and obtain the channel quality score; According to the sorting result, the channel number with the largest ratio is obtained, and the signal time series data obtained from the signal measurement stage of the channel and the statistical parameters related to the signal quality are extracted, including the signal strength fluctuation amplitude, peak holding time and signal continuity characteristics. Subsequently, the signal performance data of the optimal channel is compared with the data of the suboptimal channel in the sorting. By analyzing the time variation curves of signal strength and noise intensity, the differences in anti-interference ability, signal stability and other aspects of different channels are evaluated. Finally, the signal quality of the channel is scored based on multiple parameters. The scoring process can focus on the characteristics such as the signal strength fluctuation range, signal-to-noise ratio and signal continuity, and a comparison table is formed between the channel number and the corresponding signal quality score.

[0028] like Figure 3 As shown, based on the channel quality score, the channel signal with interference in the walkie-talkie is extracted, the frequency component of the interference signal is analyzed, and the interference signal type is identified according to the signal strength fluctuation characteristics and frequency occupancy, and the interference source is determined. The specific steps for obtaining the signal interference source type are as follows: S201: Based on the channel quality score, separate the signal frequency component and the interference frequency component, determine the amplitude change interval of the signal main frequency and the interference frequency, segment the interval according to the frequency characteristics, and analyze the main frequency strength and interference frequency width section by section by comparing the frequency change law to obtain the channel frequency component characteristics; The channel numbers with greater interference signal impact are screened out in turn, and the frequency distribution data of the channels are extracted. Subsequently, the signal frequency component is separated from the interference frequency component through the signal frequency separation module. The amplitude range of the received signal power change is used to determine the main frequency range of the signal and the amplitude change interval of the interference frequency. Next, the frequency data is segmented and divided into intervals with fixed frequency intervals. The energy distribution of the signal and interference is statistically analyzed in each frequency interval. By analyzing the signal main frequency intensity and the interference frequency width in the interval section by section and combining the energy concentration of the interference frequency, the variation law of the signal frequency and the interference frequency is extracted. Finally, the main frequency distribution characteristics of the signal in the channel and the characteristic parameters of the interference frequency component are statistically obtained.

[0029] S202: Based on the characteristics of the channel frequency components, the amplitude fluctuation characteristics of the interference frequency are analyzed, and the overlapping area between the interference frequency distribution and the device signal is counted in combination with the signal frequency range and the known interference frequency characteristics, so as to identify the interference signal type and obtain the channel interference signal type; Extract the amplitude data of the interference signal in each frequency band, count the peak, minimum and average amplitude of the interference signal, and record its amplitude fluctuation range. Then, combine the frequency range data of the device signal, compare the overlapping area of ​​the interference signal amplitude distribution and the device signal frequency, and count the influence range of the interference signal band by band. Then, match the known interference frequency feature library with the interference signal amplitude feature of the selected channel to identify the type of interference signal, such as broadband interference and narrowband interference. Organize the matching results into the type information of the interference signal. Combined with the distribution characteristics of the interference frequency, the type and related characteristics of the interference signal in the channel are obtained.

[0030] Analyze the amplitude fluctuation characteristics of the interference frequency, combine the signal frequency range and the known interference frequency characteristics, and count the overlapping areas between the interference frequency distribution and the device signal. Use the formula: ; Calculate the degree of interference signal overlap, where Represents the interference signal at the frequency component The amplitude on the frequency component is the strength or amplitude of the interference signal at this frequency component. Represents the frequency value of frequency component i, indicating the specific frequency of the i-th frequency component in the analysis signal, The center frequency value representing the known interference frequency characteristics, represents the standard deviation of the interference frequency distribution, Represents the number of frequency components of the analysis signal; In the frequency domain, the amplitude of the interference signal is The frequency component The amplitude value at, for example, at the frequency =100Hz, the value of the amplitude spectrum is 0.5, then =0.5, the characteristic center frequency of the known interference frequency Obtaining: By performing spectrum analysis on the interference signal, the center frequency of its main frequency component is determined. For example, through spectrum analysis, the center frequency of the interference signal is 1000Hz, then =1000Hz; Standard deviation of the interference frequency distribution Obtaining: By statistically analyzing the spectrum of the interference signal, the standard deviation of its frequency distribution is calculated. The spectrum of the interference signal is distributed between 900Hz and 1100Hz, and the standard deviation is 50Hz. =50Hz; by =3 as an example, let the frequency component =950Hz, =1000Hz, =1050Hz, the corresponding amplitudes are , , , substitute into the formula to calculate: ; ; ; ; This result shows that the overlap between the interference signal and the device signal is about 0.9949, or 99.49%, which means that the interference signal almost completely covers the frequency range of the device signal.

[0031] S203: Based on the channel interference signal type, locate the source of the interference signal, analyze the distribution range of the interference frequency by comparing it with the typical frequency parameters of the device, determine the interference source, and obtain the type of the signal interference source; Combined with the interference signal type identified in the channel, the frequency distribution range of the interference signal is extracted from the separated interference frequency component, and the interference signal is gradually matched with the typical frequency parameters of the known equipment to identify the type of source equipment of the interference signal. Subsequently, the characteristic data of the interference signal, such as the interference frequency width, signal amplitude fluctuation range and time duration characteristics, is used in combination with the typical frequency parameter table of the equipment to analyze the overlap of the frequency distribution of the interference signal within the coverage range of the equipment, locate the source area or equipment type of the interference signal, and determine the type of signal interference source through correlation analysis of the frequency distribution range and the typical parameters of the equipment, and generate the corresponding interference source type report data.

[0032] like Figure 4As shown in the figure, based on the type of signal interference source, the filtering parameters of the intercom channel signal are adjusted, the determined interference signal is suppressed in a targeted manner, and the average amplitude and fluctuation rate of the adjusted signal are analyzed to evaluate the transmission clarity and stability of the channel. The specific steps to obtain the adjusted channel performance data are as follows: S301: Based on the type of signal interference source, adjust the filter parameters of the intercom channel signal, set the cutoff frequency and response characteristics of the filter, match the frequency characteristics of the target interference source, reduce the impact of the interference signal, and perform targeted suppression to obtain filter parameter adjustment information; According to the identified interference source type and its frequency characteristics, select the appropriate filter type, such as a low-pass filter or a band-pass filter, and determine the filter's cutoff frequency range and response characteristics. Then, by analyzing the frequency range of the interference signal, extract the main frequency band information of the interference signal, compare it with the main frequency range of the normal signal of the walkie-talkie, calculate the frequency area where the two interfere with each other, and set the filter's frequency suppression bandwidth for the overlapping frequency range. Then, according to the interference signal amplitude characteristics, set the filter's response curve, adjust the filter's stopband attenuation and passband flatness parameters, and ensure that the filter can effectively attenuate the signal energy of the target interference frequency while retaining the integrity of the walkie-talkie signal. After the filter parameters are set, record the corresponding filter parameter information, including cutoff frequency, response characteristics, bandwidth range and suppression strength, and generate filter parameter adjustment information.

[0033] Adjust the filter parameters of the intercom channel signal, set the filter cutoff frequency and response characteristics, and use the formula: ; Calculate filter adjustment value , optimize the filtering effect of the intercom channel signal, where f represents the current operating frequency, represents the cutoff frequency of the filter, Represents the absolute value of the difference between the current frequency and the cutoff frequency; The current operating frequency f monitored is 850MHz, and according to the interference source characteristics analysis, the filter cutoff frequency The frequency is 900MHz. First, calculate the absolute value of the difference between the actual frequency and the cutoff frequency: ; Then, calculate the square root of the ratio of the actual frequency to the cutoff frequency plus one: ; ; Substituting the values ​​into the formula calculates the adjusted filter response : ; The results show that the relative response value of the filter at 850MHz is 36.38, which reflects the suppression effect on interference signals at this frequency. By adjusting the cutoff frequency, the filter can more effectively match the frequency characteristics of the interference source and reduce the impact of interference signals.

[0034] S302: Based on the filter parameter adjustment information, collect the filtered signal, measure the average amplitude and fluctuation rate of the adjusted signal, and analyze the stability change of the signal to obtain the signal stability parameter; According to the adjusted filtering parameters, the signal data after filtering is obtained, and the amplitude data of the filtered signal is recorded. Subsequently, the values ​​are collected at fixed time intervals, the average amplitude of the filtered signal is calculated, and the fluctuation range of the signal in each collection period is recorded. The fluctuation range can be calculated by the difference between the maximum and minimum values ​​of each period. Next, the signal data collected multiple times are statistically divided into segments, and the changing trend of the signal amplitude in different time periods is analyzed. The volatility parameters of the signal are further sorted out. At the same time, combined with time series analysis, the mutation points of the signal are detected segment by segment to determine the overall stability of the amplitude of the filtered signal and obtain the signal stability parameters.

[0035] S303: Based on the signal stability parameter, evaluate the transmission clarity and stability of the channel, monitor the effects of signal attenuation and interference reduction, determine the degree of improvement of signal quality, and obtain adjusted channel performance data; Combined with the average amplitude and volatility data in the signal stability parameters, the timing integrity and amplitude changes of signal transmission are analyzed channel by channel, the average value of signal attenuation is statistically calculated, and combined with the signal volatility parameters of each channel, the signal's anti-interference ability is judged. Then, for the suppression of interference signals within the frequency range, by comparing the signal interference amplitude before and after filtering, the attenuation amplitude of the interference signal is recorded, and combined with the signal transmission strength of the target frequency band, the overall signal clarity change is analyzed. Finally, the signal attenuation value, interference amplitude reduction value and stability parameters are used, combined with the performance data of multiple channels to comprehensively evaluate the channel's signal quality improvement and obtain the adjusted channel performance data.

[0036] like Figure 5 As shown, based on the adjusted channel performance data, the modulation characteristic value of the current channel signal of the walkie-talkie is analyzed, the signal characteristics between multiple channels are compared, and the channel with the best signal stability and interference strength is identified. The specific steps for obtaining the optimal channel frequency configuration are as follows: S401: Based on the adjusted channel performance data, the modulation depth and frequency response of the channel signal are analyzed, the signal modulation characteristics are disassembled, the modulation depth, frequency response curve and amplitude change of the difference channels are compared one by one, the amplitude fluctuation range and the frequency change range of the modulation characteristics are analyzed, and the modulation characteristic fluctuation range is obtained; The signal characteristic parameters are read in sequence according to the channel number to determine the modulation depth and frequency response data of each channel. Then, the signal characteristics of each channel are disassembled, and the signal waveform is collected to analyze the variation range of the modulation depth. The fluctuation value and amplitude variation trend of the signal amplitude are gradually counted, and the frequency response curve is drawn to record the response characteristics of the signal amplitude changing with frequency. Then, the modulation depth and frequency response curves of each channel are compared. During the comparison process, the peak value, minimum value and variation range of the signal amplitude within the frequency range are extracted channel by channel, and the fluctuation range of the modulation depth and the variation trend of the frequency response are further analyzed. The amplitude fluctuation range and frequency coverage of each channel are recorded to obtain the fluctuation range of the signal modulation characteristics.

[0037] S402: Based on the modulation characteristic fluctuation range, compare the signal characteristics between multiple channels, evaluate the signal stability of multiple channels, perform a horizontal comparison between the signal stability and the interference intensity, identify the channel with the best performance, and obtain a signal stability evaluation result; The amplitude fluctuation range of each channel and the signal stability characteristics within the frequency range are counted. Then, the amplitude change data of multiple channel signals are compared horizontally, the fluctuation rate of the signal amplitude is calculated channel by channel, and the amplitude retention ability of the signal within the frequency range is evaluated. Combined with the frequency response data of multiple channels, the changing trend of the frequency stability of each channel signal in different time periods is analyzed. Then, combined with the interference intensity data of the channel signal, the anti-interference ability of each channel is gradually compared, and the channels with the smallest signal amplitude fluctuation range and stable frequency response are screened out. Finally, the channel with the best performance is identified through a comprehensive comparison of the signal amplitude fluctuation rate and the interference intensity.

[0038] Compare the signal characteristics between multiple channels and evaluate the signal stability of multiple channels using the formula: ; Compute the stability eigenvalues, where represents the signal stability characteristic value of channel i, represents the signal value of channel i measured at the kth time, represents the average signal value of channel i, n represents the total number of measurements, Represents the absolute difference between the signal value measured at the kth time and the average value; Channel i has 5 measurement results in one measurement cycle, and the measurement values ​​are: , , , and , the value is obtained through monitoring, and the average value of the measurement results is calculated: ; Next, calculate the absolute value of the difference between each measurement result and the average value and add them up:

[0039] Finally, the signal stability characteristic value of channel i is obtained by dividing the above accumulated result by the number of measurements n (n=5): ; The result shows that the signal stability eigenvalue of channel i is 1.2, which reflects the average degree of channel signal fluctuation. The smaller the value, the better the signal stability of the channel and the smaller the fluctuation. In the subsequent evaluation steps, this eigenvalue is compared with other channels to identify the channel with the best performance, thereby achieving a comprehensive evaluation of the stability of multi-channel signals.

[0040] S403: Based on the signal stability evaluation result, a channel with the best signal stability and interference strength is selected, the channel is marked and set as the main channel, and the optimal channel frequency configuration is obtained; The signal stability evaluation results are sorted to select the channel numbers with the best signal stability parameters and interference strength, and the signal frequency range and modulation characteristics corresponding to the channel are extracted from the evaluation results. Next, the frequency range of the channel is re-marked according to the extracted channel performance data, and it is set as the main channel. The marked channel number is recorded, and finally, the signal frequency configuration marked as the main channel is stored as the main frequency configuration file to ensure that the frequency configuration information of the optimal channel can be used for subsequent signal transmission operations.

[0041] like Figure 6 As shown in the figure, based on the optimal channel frequency configuration, the frequency occupancy status of the intercom channel is regularly monitored, the interference fluctuation trend is analyzed, and the channel frequency of the intercom is reallocated according to the analysis results. The specific steps to obtain the intercom frequency band adaptation result are as follows: S501: Based on the optimal channel frequency configuration, regularly capture the usage frequency and occupancy time of multiple channels of the walkie-talkie, record the signal occupancy time of each channel, and count the occupancy density and duration distribution of multiple channel frequencies to obtain the channel occupancy status; The frequency usage of multiple channels is scanned periodically, and each scan records the frequency range of different channels and the time period when the signal appears. Then, the signal time period captured in each scan is classified and counted, and the signal occupancy time of each channel per unit time is calculated, and the time is corresponded to the frequency range. Then, the recorded signal occupancy time is averaged according to the time interval to obtain the average signal occupancy time of each channel in different time periods, and the frequency occupancy density of each channel is further counted. Finally, a channel occupancy status diagram is drawn according to the occupancy time and frequency distribution data of multiple channels, and the signal occupancy time and frequency density are summarized and analyzed according to the numbers of different channels to obtain the statistical results of the channel occupancy status.

[0042] S502: Based on the channel occupancy status, analyze the signal interference fluctuation of each channel, monitor the changes in signal strength and frequency, identify the key types and change trends of interference, and obtain interference change characteristics; The signal strength data and frequency usage interval of each channel recorded in the channel occupancy status are extracted, and the signal strength change trend is read one by one according to the channel number. Then, the signal strength and frequency changes of each channel are monitored in real time, and the peak, minimum and average value data of the signal strength are collected. The fluctuation range of the signal amplitude is recorded in time series. Then, the changes in signal strength in different time periods are compared, and the fluctuation trend of the signal frequency is analyzed. Combined with the monitored interference type and time change characteristics, the key features of the interference signal are further identified, including the main frequency range of the interference signal, the amplitude fluctuation range and the change rate of the interference frequency. Finally, through channel-by-channel analysis, the change trend of the interference type is statistically calculated and the interference change characteristic data is recorded.

[0043] S503: Based on the interference change characteristics, readjust the channel allocation of the walkie-talkie according to the interference analysis data, adjust the walkie-talkie channel configuration according to the frequency occupancy and interference fluctuation law, match the current interference environment, and obtain the walkie-talkie frequency band adaptation result; Extract the main frequency range, intensity distribution and time fluctuation characteristics of the interference signal recorded in the interference change characteristics, combine the occupancy density and duration information of the frequency used by multiple channels, and analyze the impact of interference on the signal channel by channel. Then, according to the signal anti-interference ability and frequency occupancy of the channel, select the channel with the least interference and higher signal stability, and configure the channel as the main communication frequency band of the walkie-talkie. Then, according to the interference fluctuation range and frequency distribution characteristics of each channel, adjust the frequency allocation interval between channels to avoid interference signals covering adjacent communication channels, and update the frequency configuration file of the walkie-talkie according to the adjusted channel allocation plan to match the current interference environment and record the frequency band adaptation results of the walkie-talkie.

[0044] like Figure 7 As shown, a walkie-talkie, comprising: The channel signal measurement module measures the signal strength of each channel based on the intercom frequency signal, evaluates the signal interference level of the intercom, calculates the ratio of signal to interference strength, and selects the channel with the best signal to interference ratio to obtain the channel quality score; The interference signal identification module performs frequency distribution segmentation analysis on the interference signal based on the channel quality score, identifies the interference signal type, determines the interference source, and obtains the signal interference source type; The frequency filter adjustment module adjusts the filter parameters of the intercom channel signal based on the type of signal interference source, performs targeted suppression on the determined interference signal, and re-analyzes the adjusted signal to obtain the adjusted channel performance data; The modulation characteristic analysis module analyzes the modulation characteristic value of the current channel signal of the intercom based on the adjusted channel performance data, identifies the channel with the best signal stability and interference strength, and obtains the optimal channel frequency configuration; Based on the optimal channel frequency configuration, the channel frequency monitoring module regularly monitors the frequency occupancy status of the intercom channel, analyzes the interference fluctuation trend, reallocates the channel frequency of the intercom, and obtains the intercom frequency band adaptation result.

[0045] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0046] In the present invention, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0047] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0048] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0049] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0050] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0051] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0052] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0053] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0054] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A frequency matching method for a walkie-talkie, characterized in that: The method comprises: S1: Based on the intercom frequency signal, the signal strength of each channel is measured, the signal strength changes in the target time period are counted, the signal interference level of the intercom is evaluated, the ratio of signal to interference strength is calculated, and the optimal channel is selected according to the ratio to obtain the channel quality score; S2: Based on the channel quality score, extract the channel signal with interference in the walkie-talkie, analyze the frequency component of the interference signal, identify the type of interference signal according to the signal strength fluctuation characteristics and frequency occupancy, and determine the interference source to obtain the signal interference source type; S3: Based on the type of the signal interference source, adjust the filter parameters of the intercom channel signal, perform targeted suppression on the determined interference signal, analyze the average amplitude and fluctuation rate of the adjusted signal, evaluate the transmission clarity and stability of the channel, and obtain the adjusted channel performance data; S4: Based on the adjusted channel performance data, analyzing the modulation characteristic value of the current channel signal of the intercom, comparing the signal characteristics between multiple channels, identifying the channel with the best signal stability and interference strength, and obtaining the optimal channel frequency configuration; S5: Based on the optimal channel frequency configuration, regularly monitor the frequency occupancy status of the intercom channel, analyze the interference fluctuation trend, and reallocate the intercom channel frequency according to the analysis result to obtain the intercom frequency band adaptation result.

2. The frequency matching method of an intercom according to claim 1, characterized in that: The channel quality score includes signal strength index, interference ratio, and scoring criteria; the signal interference source type includes interference frequency band, signal morphology, and source location identification results; the adjusted channel performance data includes transmission clarity level, signal stability index, and filtering effect evaluation results; the optimal channel frequency configuration includes modulation feature comparison information, signal stability ranking results, and interference minimized channel; the walkie-talkie frequency band adaptation results include channel reallocation plan, usage status monitoring, and fluctuation trend analysis results.

3. The frequency matching method of an intercom according to claim 1, characterized in that: Based on the intercom frequency signal, the signal strength of each channel is measured, the signal strength changes in the target time period are counted, the signal interference level of the intercom is evaluated, the ratio of signal to interference strength is calculated, and the optimal channel is selected based on the ratio. The specific steps to obtain the channel quality score are as follows: S101: Based on the intercom frequency signal, the signal strength of each channel is measured, the signal values ​​are arranged according to the time axis, the curve of the change of the signal amplitude over time is segmented and statistically analyzed, and the distribution characteristics of the signal strength are normalized to obtain the channel signal strength distribution characteristics; S102: based on the channel signal strength distribution characteristics, extract the signal strength and the corresponding noise interference strength parameter for each channel, calculate the ratio of the signal to the interference strength, sort the multiple channels according to the size of the ratio, mark the channel with the largest ratio as the optimal channel, and obtain the signal-to-interference ratio sorting result; S103: Based on the signal-to-interference ratio ranking results, collect the channel number and corresponding signal performance data of the channel with the largest ratio, record the channel with the second best ratio, and compare it with the measured intensity curve and noise to determine the channel quality difference and obtain the channel quality score.

4. The frequency matching method of an intercom according to claim 1, characterized in that: Based on the channel quality score, extract the channel signal with interference in the walkie-talkie, analyze the frequency component of the interference signal, identify the interference signal type according to the signal strength fluctuation characteristics and frequency occupancy, and determine the interference source. The steps of obtaining the signal interference source type are specifically as follows: S201: Based on the channel quality score, separate the signal frequency component and the interference frequency component, determine the amplitude change interval of the signal main frequency and the interference frequency, segment the interval according to the frequency characteristics, and analyze the main frequency strength and interference frequency width section by section by comparing the frequency change law to obtain the channel frequency component characteristics; S202: Based on the characteristics of the channel frequency components, analyze the amplitude fluctuation characteristics of the interference frequency, combine the signal frequency range and the known interference frequency characteristics, count the overlapping area of ​​the interference frequency distribution and the device signal, identify the interference signal type, and obtain the channel interference signal type; S203: Based on the channel interference signal type, locate the source of the interference signal, analyze the distribution range of the interference frequency by comparing it with the typical frequency parameters of the device, determine the interference source, and obtain the signal interference source type.

5. The frequency matching method of an intercom according to claim 1, characterized in that: Based on the type of signal interference source, the filtering parameters of the intercom channel signal are adjusted, the determined interference signal is suppressed in a targeted manner, and the average amplitude and fluctuation rate of the adjusted signal are analyzed to evaluate the transmission clarity and stability of the channel. The steps of obtaining the adjusted channel performance data are specifically as follows: S301: Based on the type of the signal interference source, adjust the filter parameters of the intercom channel signal, set the cutoff frequency and response characteristics of the filter, match the frequency characteristics of the target interference source, reduce the impact of the interference signal, and perform targeted suppression to obtain filter parameter adjustment information; S302: Based on the filtering parameter adjustment information, collect the filtered signal, measure the average amplitude and fluctuation rate of the adjusted signal, and analyze the stability change of the signal to obtain a signal stability parameter; S303: Based on the signal stability parameter, evaluate the transmission clarity and stability of the channel, monitor the effects of signal attenuation and interference reduction, determine the degree of improvement of signal quality, and obtain adjusted channel performance data.

6. The frequency matching method of an intercom according to claim 5, characterized in that: The filter parameters of the intercom channel signal are adjusted to set the filter cutoff frequency and response characteristics, using the formula: ； Calculate filter adjustment value , optimize the filtering effect of the intercom channel signal, where f represents the current operating frequency, represents the cutoff frequency of the filter, Represents the absolute value of the difference between the current frequency and the cutoff frequency.

7. The frequency matching method of an intercom according to claim 1, characterized in that: Based on the adjusted channel performance data, the modulation characteristic value of the current channel signal of the intercom is analyzed, the signal characteristics between multiple channels are compared, and the channel with the best signal stability and interference strength is identified. The steps of obtaining the optimal channel frequency configuration are specifically as follows: S401: Based on the adjusted channel performance data, the modulation depth and frequency response of the channel signal are analyzed, the signal modulation characteristics are disassembled, the modulation depth, frequency response curve and amplitude change of the difference channels are compared one by one, the amplitude fluctuation range of the modulation characteristics and the frequency variation range are analyzed, and the modulation characteristic fluctuation range is obtained; S402: Based on the modulation characteristic fluctuation range, compare the signal characteristics between multiple channels, evaluate the signal stability of multiple channels, perform a horizontal comparison between the signal stability and the interference intensity, identify the channel with the best performance, and obtain a signal stability evaluation result; S403: Based on the signal stability evaluation result, a channel with the best signal stability and interference strength is selected, the channel is marked and set as a main channel, and an optimal channel frequency configuration is obtained.

8. The frequency matching method of an intercom according to claim 7, characterized in that: The signal characteristics between multiple channels are compared and the signal stability of multiple channels is evaluated by using the formula: ； Compute the stability eigenvalues, where represents the signal stability characteristic value of channel i, represents the signal value of channel i measured at the kth time, represents the signal average value of channel i, n represents the total number of measurements, Represents the absolute difference between the kth measured signal value and the average value.

9. The frequency matching method of an intercom according to claim 1, characterized in that: Based on the optimal channel frequency configuration, the frequency occupancy status of the intercom channel is regularly monitored, the interference fluctuation trend is analyzed, and the channel frequency of the intercom is reallocated according to the analysis result to obtain the intercom frequency band adaptation result. Specifically, the steps are as follows: S501: Based on the optimal channel frequency configuration, regularly capture the usage frequency and occupancy time of multiple channels of the walkie-talkie, record the signal occupancy time of each channel, and count the occupancy density and duration distribution of multiple channel frequencies to obtain the channel occupancy status; S502: Based on the channel occupancy status, analyze the signal interference fluctuation of each channel, monitor the changes in signal strength and frequency, identify the key types and change trends of interference, and obtain interference change characteristics; S503: Based on the interference change characteristics, readjust the channel allocation of the walkie-talkie according to the interference analysis data, adjust the walkie-talkie channel configuration according to the frequency occupancy and interference fluctuation law, match the current interference environment, and obtain the walkie-talkie frequency band adaptation result.

10. An intercom, the intercom being used to implement the frequency matching method of the intercom according to any one of claims 1 to 9, characterized in that: The intercom comprises: The channel signal measurement module measures the signal strength of each channel based on the intercom frequency signal, evaluates the signal interference level of the intercom, calculates the ratio of signal to interference strength, and selects the channel with the best signal to interference ratio to obtain the channel quality score; The interference signal identification module performs frequency distribution segmentation analysis on the interference signal based on the channel quality score, identifies the interference signal type, determines the interference source, and obtains the signal interference source type; The frequency filter adjustment module adjusts the filter parameters of the intercom channel signal based on the type of the signal interference source, performs targeted suppression on the determined interference signal, and re-analyzes the adjusted signal to obtain adjusted channel performance data; The modulation characteristic analysis module analyzes the modulation characteristic value of the current channel signal of the intercom based on the adjusted channel performance data, identifies the channel with the best signal stability and interference strength, and obtains the optimal channel frequency configuration; Based on the optimal channel frequency configuration, the channel frequency monitoring module regularly monitors the occupancy status of the intercom channel frequency, analyzes the interference fluctuation trend, reallocates the channel frequency of the intercom, and obtains the intercom frequency band adaptation result.

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