Bluetooth earphone anti-interference performance test system

Abstract

The invention relates to the technical field of wireless communication testing, and particularly discloses a Bluetooth headset anti-interference performance testing system which comprises an interference signal generation module, an interference signal dynamic simulation module, a signal stability monitoring and evaluation module and an anti-interference capability identification module. An interference signal comprising a modulation signal, a cross-band noise signal and a dynamic radio frequency signal is generated and injected into a test environment, and a real interference scene is simulated by using dynamic conversion of signal strength and frequency; the monitoring module obtains the intensity and frequency characteristics of the interference signal in real time, and comprehensively evaluates the signal stability based on an intensity abnormal coefficient and a frequency abnormal coefficient; and the anti-interference capability identification module calculates an anti-interference capability coefficient by using a support vector machine in combination with performance data of the Bluetooth earphone under different interference levels, and realizes graded evaluation of earphone performance.

Description

Technical Field

[0001] The invention relates to the technical field of wireless communication testing, and in particular to a Bluetooth headset anti-interference performance testing system. Background Art

[0002] With the rapid development of wireless communication technology, Bluetooth headsets, as portable audio devices, have become an important part of users' daily lives. However, Bluetooth headsets are often affected by various interference signals in complex wireless environments, such as cross-band noise, RF signal fluctuations, and dynamic modulation interference. These interferences not only lead to a decline in the quality of audio signal transmission, but also cause problems such as data delays, increased packet loss rates, and communication interruptions. Therefore, the testing and evaluation of the anti-interference performance of Bluetooth headsets has become a key link in product development and quality control. Traditional anti-interference performance evaluation methods are usually based on empirical tests, lack standardized and scientific analysis methods, and cannot fully reflect the performance of headsets in different interference scenarios, which seriously restricts the optimization of anti-interference technology and further improvement of products.

[0003] The prior art has the following deficiencies: The current anti-interference performance test methods have the problem of insufficient accuracy in the generation and simulation of interference signals, and it is difficult to dynamically simulate the superposition effect of multiple interference signals in complex wireless environments. At the same time, the existing technology usually only focuses on a single performance indicator, such as audio quality or delay time, and lacks comprehensive analysis and quantitative models of multi-dimensional data, resulting in one-sided test results and difficulty in accurately reflecting the anti-interference ability of the headset. In addition, the traditional evaluation method relies on human subjective judgment, and the evaluation of the stability of the interference signal and the response characteristics of the headset lacks scientificity, and cannot provide a clear quantitative reference for the design and optimization of the headset. These deficiencies make it difficult for the existing technology to meet the requirements of Bluetooth headsets for high performance and high reliability in complex wireless environments. There is an urgent need for a scientific evaluation method based on dynamic simulation and intelligent algorithms to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a Bluetooth headset anti-interference performance testing system to solve the above-mentioned background problems.

[0005] The purpose of the present invention can be achieved through the following technical solutions: Bluetooth headset anti-interference performance test system, including: An interference signal generation module, the interference signal generation module is used to generate an interference signal, the interference signal includes: a modulated signal, a cross-band noise signal and a dynamically changing radio frequency signal, and configures and adjusts the frequency range, signal strength and modulation mode of the interference signal according to the target test requirements; An interference signal dynamic simulation module, which is used to inject interference signals into the test environment and simulate interference scenarios by dynamically changing the strength and frequency of the signals, including nonlinear changes in the strength of the interference signals, frequency fluctuations, and multi-signal superposition interference scenarios; An interference signal stability monitoring and evaluation module, which is used to monitor the signal characteristics in real time during the dynamic simulation of the interference signal, obtain the strength and frequency characteristics of the interference signal, analyze the strength and frequency characteristics of the interference signal, and evaluate the stability of the interference signal according to the analysis results; The anti-interference capability identification module collects the performance data of the Bluetooth headset during the test in real time based on the interference signal stability monitoring data, including audio signal decoding quality, data transmission delay, packet loss rate and anti-interference recovery time, analyzes the response characteristics of the Bluetooth headset in different interference scenarios, and identifies the critical point of Bluetooth headset performance.

[0006] As a further solution of the present invention: the simulation of interference scenarios by dynamically changing the signal strength and frequency specifically includes: Initialize the interference signal generation module and set the parameters of the interference signal, including the frequency range and intensity range of the interference signal; According to the test requirements, determine the dynamic change rules of the interference signal, including the intensity change rate and frequency change rate; During the simulation, the frequency and intensity of the signal are adjusted in real time; Generate interference signals based on real-time adjustments and inject the interference signals into the test environment through RF transmission; Use the receiving end to monitor the strength, frequency, and signal quality changes of the interference signal, and analyze the signal stability and its impact on the headphone performance in real time.

[0007] As a further solution of the present invention: the obtaining of the strength and frequency characteristics of the interference signal and analyzing the strength and frequency characteristics of the interference signal specifically include: Obtain the strength and frequency characteristics of interference signals, including real-time values ​​and change trends of signal strength and frequency; The interference signal strength data within the monitoring period is integrated into a time series data. According to the fluctuation degree of the interference signal strength within the time series, the strength anomaly coefficient is calculated to evaluate the stability of the interference signal strength. The interference signal frequency data within the monitoring period is integrated into a time series data. According to the fluctuation amplitude of the interference signal frequency within the time series, the frequency anomaly coefficient is calculated to evaluate the stability of the interference signal frequency. The intensity anomaly coefficient and the frequency anomaly coefficient of the interference signal are comprehensively processed, including: normalizing the intensity anomaly coefficient and the frequency anomaly coefficient, and calculating the comprehensive anomaly coefficient for evaluating the stability of the interference signal.

[0008] As a further solution of the present invention: the process of obtaining the intensity anomaly coefficient is: The interference signal strength data collected during the monitoring period Integrate into a time series: ; in, Indicates the collection time point, Indicates the total length of the time series; For time series Perform discrete wavelet transform according to the predetermined number of decomposition levels Decompose into low frequency components and high frequency components , the decomposed calculation expression is: ; in, represents the low-frequency scaling function, Indicates The wavelet basis function of the layer, represents the number of wavelet base layers, Represents the total number of wavelet basis layers; Calculate the high frequency component of each decomposition layer The energy is calculated as: ; in, Indicates The energy of the high-frequency components of the layer, Indicates that the high frequency component is The coefficient value of the layer, Indicates The total number of coefficients of the decomposition of the layer, Indicates The coefficients of the decomposition; The total high-frequency energy is obtained by adding up the energy of all high-frequency layers. The calculation expression is: ; in, Represents the total high-frequency energy; Calculate low frequency components The energy is calculated as: ; In the formula, Represents low frequency components The energy Indicates The coefficients of the low-frequency components obtained by layer decomposition, Represents low frequency components In the The total number of coefficients of the layer decomposition; Calculate the total energy, the calculation expression is: ; In the formula, represents the total energy; The intensity anomaly coefficient is calculated by the high-frequency energy ratio, and the calculation expression is: ; In the formula, Represents the intensity anomaly coefficient.

[0009] As a further solution of the present invention: the process of obtaining the frequency anomaly coefficient is: Integrate the interference signal frequency data within the monitoring period into a time series ,in, Indicates the collection time point, is the interference signal at time point The frequency value at ; For time series Perform Fourier transform to obtain the frequency domain signal ,in is the frequency, is the frequency component represented by complex numbers, and the Fourier transform formula is: ; In the formula, Indicates the first A point in time, represents the total number of time points, Indicates the interference signal at time point The value of is the basis function of Fourier transform, q represents the imaginary unit; From the Fourier transform results Extract the amplitude spectrum of frequency components from , the calculation expression of the amplitude spectrum is: ; In the formula, is the real part of the Fourier transform result, is the imaginary part of the Fourier transform result; According to the amplitude spectrum, calculate the fluctuation amplitude of the frequency component ,in is the standard deviation of the frequency component amplitude, indicating the fluctuation amplitude of the signal in the frequency domain; Calculates the average of the frequency component amplitudes ; The frequency fluctuation amplitude The average value of the frequency component amplitude Perform ratio calculation to obtain the frequency anomaly coefficient .

[0010] As a further solution of the present invention: the analysis of the response characteristics of the Bluetooth headset in different interference scenarios specifically includes: According to the evaluation result of the stability of the interference signal, the comprehensive abnormal coefficient is compared with the preset threshold value; If the comprehensive abnormal coefficient is greater than or equal to the preset threshold, the interference signal simulation is unstable; If the comprehensive anomaly coefficient is less than the preset threshold, the interference signal simulation is stable; Based on the stability of interference signal simulation, different interference signal levels are set, including level one and level two, where the level one is greater than the level two, to obtain performance data of the Bluetooth headset during the test, including audio signal decoding quality, data transmission delay, packet loss rate, and anti-interference recovery time; The performance data is analyzed according to different interference signal levels. Based on the analysis results, the anti-interference capability coefficient is calculated to evaluate the anti-interference capability of Bluetooth headsets at different interference signal levels.

[0011] As a further solution of the present invention: the process of obtaining the anti-interference ability coefficient is: Obtain the performance data of Bluetooth headsets at different interference signal levels during the interference signal test and construct the performance data feature vector: ; In the formula, Indicates the number of levels, Indicates that the Bluetooth headset is at the interference signal level The audio signal decoding quality under Indicates that the Bluetooth headset is at the interference signal level The data transmission delay under Indicates that the Bluetooth headset is at the interference signal level The packet loss rate under Indicates that the Bluetooth headset is at the interference signal level Anti-interference recovery time under Indicates that the Bluetooth headset is at the interference signal level The input feature vector under Construct the target anti-interference ability coefficient calculation expression: ; in, represents the predicted anti-interference capability coefficient, represents the weight corresponding to the support vector, represents the kernel function, represents the bias term, represents the number of support vectors; For a given interference signal level , input feature vector , calculate the predicted anti-interference ability coefficient, the calculation expression is: ; In the formula, Indicates The anti-interference ability coefficient of each level; The target anti-interference capability coefficient and the predicted anti-interference capability coefficient are normalized and calculated to obtain the anti-interference capability coefficient calculation expression of the corresponding level: ; In the formula, and represents the preset scale factor, and and are greater than 0, Indicates that the Bluetooth headset is at the interference signal level The anti-interference ability coefficient under .

[0012] As a further solution of the present invention: the evaluation of the anti-interference capability of the Bluetooth headset at different interference signal levels specifically includes: Compare the anti-interference capability coefficient of the Bluetooth headset at different interference signal levels with a preset threshold; If the anti-interference coefficient of the Bluetooth headset is greater than or equal to the preset threshold under the first and second strengths, it means that the anti-interference ability of the corresponding Bluetooth headset is strong, which is recorded as first-level resistance; If the anti-interference coefficient of the Bluetooth headset is greater than or equal to the preset threshold at the first level, and the anti-interference coefficient of the Bluetooth headset is less than the preset threshold at the second level, it means that the anti-interference ability of the corresponding Bluetooth headset is average, which is recorded as the second level resistance; If the anti-interference coefficient of the Bluetooth headset is less than the preset threshold under the first and second strengths, it means that the anti-interference ability of the corresponding Bluetooth headset is weak, which is recorded as the third level resistance; Among them, the anti-interference ability level of Bluetooth headsets is: level one resistance is greater than level two resistance, and level two resistance is greater than level three resistance.

[0013] Beneficial effects of the present invention: (1) The present invention constructs a dynamic simulation and real-time monitoring system for interference signals, comprehensively utilizes the intensity anomaly coefficient and the frequency anomaly coefficient, accurately evaluates the stability of interference signals, and ensures the high simulation and controllability of test signals in complex wireless environments. Based on precise data analysis and signal processing technology, the present invention combines the mathematical tools of discrete wavelet transform and Fourier transform to decompose signal characteristics into a quantifiable index system, thereby improving the ability to capture and analyze the dynamic characteristics of interference signals. At the same time, the advanced support vector machine algorithm is innovatively introduced to calculate the anti-interference ability coefficient of Bluetooth headsets in different interference scenarios through high-dimensional feature space mapping and probability analysis, thereby achieving accurate quantitative evaluation of performance response. Compared with traditional evaluation methods, the present invention abandons the subjective limitations of relying on experience judgment, takes data-driven and intelligent algorithms as the core, makes the test results more scientific and rigorous, and provides an objective and reliable decision-making basis for the optimization and improvement of the anti-interference performance of Bluetooth headsets, thereby significantly improving the practical performance and market competitiveness of headsets in complex interference environments.

[0014] (2) The present invention comprehensively collects and accurately analyzes the performance data of Bluetooth headsets under multiple interference signal levels, and uses advanced algorithm models to accurately identify the performance critical points of the headsets, thereby achieving a hierarchical evaluation of anti-interference capabilities. By constructing a performance evaluation system based on multi-dimensional data features, the performance indicators of audio signal decoding quality, data transmission delay, packet loss rate and anti-interference recovery time are refined and quantified, and the performance limits of the headset in different interference scenarios can be scientifically determined. Based on this, the present invention not only provides an accurate quantitative reference for improving the anti-interference performance of Bluetooth headsets, but also can optimize the signal reception capability and anti-interference recovery mechanism of the headset in a targeted manner during the product design stage, such as adjusting hardware reception parameters, optimizing software algorithms, and improving the stability of the RF module. This refined evaluation and optimization method not only significantly improves the anti-interference performance of the headset in a complex wireless environment, but also provides users with a more stable and clear communication experience, improving the product's advantages in market competition and user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] Figure 1 It is a flow chart of the anti-interference performance testing system of the Bluetooth headset of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the present invention is a Bluetooth headset anti-interference performance test system, comprising: An interference signal generation module, the interference signal generation module is used to generate an interference signal, the interference signal includes: a modulated signal, a cross-band noise signal and a dynamically changing radio frequency signal, and configures and adjusts the frequency range, signal strength and modulation mode of the interference signal according to the target test requirements; An interference signal dynamic simulation module, which is used to inject interference signals into the test environment and simulate interference scenarios by dynamically changing the strength and frequency of the signals, including nonlinear changes in the strength of the interference signals, frequency fluctuations, and multi-signal superposition interference scenarios; An interference signal stability monitoring and evaluation module, which is used to monitor the signal characteristics in real time during the dynamic simulation of the interference signal, obtain the strength and frequency characteristics of the interference signal, analyze the strength and frequency characteristics of the interference signal, and evaluate the stability of the interference signal according to the analysis results; The anti-interference capability identification module collects the performance data of the Bluetooth headset during the test in real time based on the interference signal stability monitoring data, including audio signal decoding quality, data transmission delay, packet loss rate and anti-interference recovery time, analyzes the response characteristics of the Bluetooth headset in different interference scenarios, and identifies the critical point of Bluetooth headset performance.

[0019] In the interference signal dynamic simulation module, the interference scenario is simulated by dynamically changing the signal strength and frequency, including: Initialize the interference signal generation module and set the parameters of the interference signal, including the frequency range and intensity range of the interference signal; According to the test requirements, determine the dynamic change rules of the interference signal, including the intensity change rate and frequency change rate; During the simulation, the frequency and intensity of the signal are adjusted in real time; Generate interference signals based on real-time adjustments and inject the interference signals into the test environment through RF transmission; Use the receiving end to monitor the strength, frequency, and signal quality changes of the interference signal, and analyze the signal stability and its impact on the headphone performance in real time.

[0020] In the interference signal dynamic simulation module, the strength and frequency characteristics of the interference signal are obtained, including the real-time value and change trend of the signal strength and frequency; The interference signal strength data within the monitoring period is integrated into a time series data. According to the fluctuation degree of the interference signal strength within the time series, the strength anomaly coefficient is calculated to evaluate the stability of the interference signal strength. The interference signal frequency data within the monitoring period is integrated into a time series data. According to the fluctuation amplitude of the interference signal frequency within the time series, the frequency anomaly coefficient is calculated to evaluate the stability of the interference signal frequency. Comprehensively processing the intensity anomaly coefficient and the frequency anomaly coefficient of the interference signal, including: normalizing the intensity anomaly coefficient and the frequency anomaly coefficient, and calculating the comprehensive anomaly coefficient for evaluating the stability of the interference signal; The process of obtaining the intensity anomaly coefficient is as follows: The interference signal strength data collected during the monitoring period Integrate into a time series: ; in, Indicates the collection time point, Indicates the total length of the time series; For time series Perform discrete wavelet transform according to the predetermined number of decomposition levels Decompose into low frequency components and high frequency components , the decomposed calculation expression is: ; in, represents the low-frequency scaling function, Indicates The wavelet basis function of the layer, represents the number of wavelet base layers, Represents the total number of wavelet basis layers; Calculate the high frequency component of each decomposition layer The energy is calculated as: ; in, Indicates The energy of the high-frequency components of the layer, Indicates that the high frequency component is The coefficient value of the layer, Indicates The total number of coefficients of the decomposition of the layer, Indicates The coefficients of the decomposition; The total high-frequency energy is obtained by adding up the energy of all high-frequency layers. The calculation expression is: ; in, Represents the total high-frequency energy; Calculate low frequency components The energy is calculated as: ; In the formula, Represents low frequency components The energy Indicates The coefficients of the low-frequency components obtained by layer decomposition, Represents low frequency components In the The total number of coefficients of the layer decomposition; Calculate the total energy, the calculation expression is: ; In the formula, represents the total energy; The intensity anomaly coefficient is calculated by the high-frequency energy ratio, and the calculation expression is: ; In the formula, represents the strength anomaly coefficient; The process of obtaining the frequency anomaly coefficient is as follows: Integrate the interference signal frequency data within the monitoring period into a time series ,in, Indicates the collection time point, is the interference signal at time point The frequency value at ; For time series Perform Fourier transform to obtain the frequency domain signal ,in is the frequency, is the frequency component represented by complex numbers, and the Fourier transform formula is: ; In the formula, Indicates the first A point in time, represents the total number of time points, Indicates the interference signal at time point The value of is the basis function of Fourier transform, q represents the imaginary unit; From the Fourier transform results Extract the amplitude spectrum of frequency components from , the calculation expression of the amplitude spectrum is: ; In the formula, is the real part of the Fourier transform result, is the imaginary part of the Fourier transform result; According to the amplitude spectrum, calculate the fluctuation amplitude of the frequency component ,in is the standard deviation of the frequency component amplitude, indicating the fluctuation amplitude of the signal in the frequency domain; Calculates the average of the frequency component amplitudes ; The frequency fluctuation amplitude The average value of the frequency component amplitude Perform ratio calculation to obtain the frequency anomaly coefficient ; The calculation expression of the comprehensive abnormal coefficient is: ; In the formula, represents the comprehensive anomaly coefficient, and represents the preset scale factor, and and are greater than 0, represents the strength anomaly coefficient, represents the frequency anomaly coefficient; Compare the comprehensive abnormality coefficient of the interference signal with the preset threshold. If the comprehensive abnormality coefficient is greater than or equal to the preset threshold, it means that the corresponding interference signal is abnormal. If the comprehensive abnormality coefficient is less than the preset threshold, it means that the corresponding interference signal is normal. The normal interference signal is used as the simulation signal for the subsequent Bluetooth headset anti-interference performance test.

[0021] It should be noted that the comprehensive anomaly coefficient reflects the stability of the simulated interference signal, and when the value of the comprehensive anomaly coefficient is larger, the stability of the corresponding simulated interference signal is worse.

[0022] In the anti-interference capability identification module, the response characteristics of Bluetooth headsets in different interference scenarios are analyzed, including: According to the evaluation result of the stability of the interference signal, the comprehensive abnormal coefficient is compared with the preset threshold value; If the comprehensive abnormal coefficient is greater than or equal to the preset threshold, the interference signal simulation is unstable; If the comprehensive anomaly coefficient is less than the preset threshold, the interference signal simulation is stable; Based on the stability of interference signal simulation, different interference signal levels are set, including level one and level two, where the level one is greater than the level two, to obtain performance data of the Bluetooth headset during the test, including audio signal decoding quality, data transmission delay, packet loss rate, and anti-interference recovery time; According to different interference signal levels, the performance data is analyzed. Based on the analysis results, the anti-interference ability coefficient is calculated to evaluate the anti-interference ability of Bluetooth headsets under different interference signal levels; The process of obtaining the anti-interference capability coefficient is as follows: Obtain the performance data of Bluetooth headsets at different interference signal levels during the interference signal test and construct the performance data feature vector: ; In the formula, Indicates the number of levels, Indicates that the Bluetooth headset is at the interference signal level The audio signal decoding quality under Indicates that the Bluetooth headset is at the interference signal level The data transmission delay under Indicates that the Bluetooth headset is at the interference signal level The packet loss rate under Indicates that the Bluetooth headset is at the interference signal level Anti-interference recovery time under Indicates that the Bluetooth headset is at the interference signal level The input feature vector under Construct the target anti-interference ability coefficient calculation expression: ; in, represents the predicted anti-interference capability coefficient, represents the weight corresponding to the support vector, represents the kernel function, represents the bias term, represents the number of support vectors; For a given interference signal level , input feature vector , calculate the predicted anti-interference ability coefficient, the calculation expression is: ; In the formula, Indicates The anti-interference ability coefficient of each level; The target anti-interference capability coefficient and the predicted anti-interference capability coefficient are normalized and calculated to obtain the anti-interference capability coefficient calculation expression of the corresponding level: ; In the formula, and represents the preset scale factor, and and are greater than 0, Indicates that the Bluetooth headset is at the interference signal level Anti-interference ability coefficient under ; Compare the anti-interference capability coefficient of the Bluetooth headset at different interference signal levels with a preset threshold; If the anti-interference coefficient of the Bluetooth headset is greater than or equal to the preset threshold under the first and second strengths, it means that the anti-interference ability of the corresponding Bluetooth headset is strong, which is recorded as first-level resistance; If the anti-interference coefficient of the Bluetooth headset is greater than or equal to the preset threshold at the first level, and the anti-interference coefficient of the Bluetooth headset is less than the preset threshold at the second level, it means that the anti-interference ability of the corresponding Bluetooth headset is average, which is recorded as the second level resistance; If the anti-interference coefficient of the Bluetooth headset is less than the preset threshold under the first and second strengths, it means that the anti-interference ability of the corresponding Bluetooth headset is weak, which is recorded as the third level resistance; Among them, the anti-interference ability level of Bluetooth headsets is: level one resistance is greater than level two resistance, and level two resistance is greater than level three resistance; It should be noted that the anti-interference ability coefficient reflects the anti-interference ability of Bluetooth headsets under interference signals, and when the value of the anti-interference ability coefficient is larger, the corresponding Bluetooth headset has a stronger anti-interference ability under interference signals, and the Bluetooth headset can be performance tested.

[0023] The working principle of the present invention is as follows: a modulation signal, a cross-band noise signal and a dynamically changing radio frequency signal are generated through an interference signal generation module, and the frequency range, signal strength and modulation mode of the signal are dynamically configured; an interference signal dynamic simulation module is used to adjust the signal strength and frequency in real time to simulate different interference scenarios; an interference signal stability monitoring and evaluation module is used to analyze the intensity anomaly coefficient and the frequency anomaly coefficient of the interference signal, calculate the comprehensive anomaly coefficient, and evaluate the stability of the interference signal; an anti-interference capability identification module is used to collect the performance data of the Bluetooth headset in different interference scenarios in real time, and the anti-interference capability coefficient is calculated in combination with a support vector machine algorithm or a Bayesian network to evaluate the anti-interference capability and response characteristics of the headset, thereby realizing a graded evaluation of the anti-interference performance of the Bluetooth headset and guiding product optimization design and performance improvement.

[0024] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0025] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0026] 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.

[0027] It should be understood that in the various embodiments of the present application, 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 application.

[0028] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. Bluetooth headset anti-interference performance test system, characterized in that: include: An interference signal generation module, the interference signal generation module is used to generate an interference signal, the interference signal includes: a modulated signal, a cross-band noise signal and a dynamically changing radio frequency signal, and configures and adjusts the frequency range, signal strength and modulation mode of the interference signal according to the target test requirements; An interference signal dynamic simulation module, which is used to inject interference signals into the test environment and simulate interference scenarios by dynamically changing the strength and frequency of the signals, including nonlinear changes in the strength of the interference signals, frequency fluctuations, and multi-signal superposition interference scenarios; An interference signal stability monitoring and evaluation module, which is used to monitor the signal characteristics in real time during the dynamic simulation of the interference signal, obtain the strength and frequency characteristics of the interference signal, analyze the strength and frequency characteristics of the interference signal, and evaluate the stability of the interference signal according to the analysis results; The anti-interference capability identification module collects the performance data of the Bluetooth headset during the test in real time based on the interference signal stability monitoring data, including audio signal decoding quality, data transmission delay, packet loss rate and anti-interference recovery time, analyzes the response characteristics of the Bluetooth headset in different interference scenarios, and identifies the critical point of Bluetooth headset performance.

2. The Bluetooth headset anti-interference performance test system according to claim 1, characterized in that: The simulation of interference scenarios by dynamically changing the signal strength and frequency specifically includes: Initialize the interference signal generation module and set the parameters of the interference signal, including the frequency range and intensity range of the interference signal; According to the test requirements, determine the dynamic change rules of the interference signal, including the intensity change rate and frequency change rate; During the simulation, the frequency and intensity of the signal are adjusted in real time; Generate interference signals based on real-time adjustments and inject the interference signals into the test environment through RF transmission; Use the receiving end to monitor the strength, frequency, and signal quality changes of the interference signal, and analyze the signal stability and its impact on the headphone performance in real time.

3. The Bluetooth headset anti-interference performance test system according to claim 1, characterized in that: The obtaining of the strength and frequency characteristics of the interference signal and analyzing the strength and frequency characteristics of the interference signal specifically includes: Obtain the strength and frequency characteristics of interference signals, including real-time values ​​and change trends of signal strength and frequency; The interference signal strength data within the monitoring period is integrated into a time series data. According to the fluctuation degree of the interference signal strength within the time series, the strength anomaly coefficient is calculated to evaluate the stability of the interference signal strength. The interference signal frequency data within the monitoring period is integrated into a time series data. According to the fluctuation amplitude of the interference signal frequency within the time series, the frequency anomaly coefficient is calculated to evaluate the stability of the interference signal frequency. The intensity anomaly coefficient and the frequency anomaly coefficient of the interference signal are comprehensively processed, including: normalizing the intensity anomaly coefficient and the frequency anomaly coefficient, and calculating the comprehensive anomaly coefficient for evaluating the stability of the interference signal.

4. The Bluetooth headset anti-interference performance test system according to claim 3, characterized in that: The process of obtaining the intensity anomaly coefficient is as follows: The interference signal strength data collected during the monitoring period Integrate into a time series: ; in, Indicates the collection time point, Indicates the total length of the time series; For time series Perform discrete wavelet transform according to the predetermined number of decomposition levels Decompose into low frequency components and high frequency components , the decomposed calculation expression is: ； in, represents the low-frequency scaling function, Indicates The wavelet basis function of the layer, represents the number of wavelet base layers, Represents the total number of wavelet basis layers; Calculate the high frequency component of each decomposition layer The energy is calculated as: ； in, Indicates The energy of the high-frequency components of the layer, Indicates that the high frequency component is The coefficient value of the layer, Indicates The total number of coefficients of the decomposition of the layer, Indicates The coefficients of the decomposition; The total high-frequency energy is obtained by adding up the energy of all high-frequency layers. The calculation expression is: ; in, Represents the total high-frequency energy; Calculate low frequency components The energy is calculated as: ; In the formula, Represents low frequency components The energy Indicates The coefficients of the low-frequency components obtained by layer decomposition, Represents low frequency components In the The total number of coefficients of the layer decomposition; Calculate the total energy, the calculation expression is: ; In the formula, represents the total energy; The intensity anomaly coefficient is calculated by the high-frequency energy ratio, and the calculation expression is: ; In the formula, Represents the intensity anomaly coefficient.

5. The Bluetooth headset anti-interference performance test system according to claim 3, characterized in that: The process of obtaining the frequency anomaly coefficient is as follows: Integrate the interference signal frequency data within the monitoring period into a time series ,in, Indicates the collection time point, is the interference signal at time point The frequency value at ; For time series Perform Fourier transform to obtain the frequency domain signal ,in is the frequency, is the frequency component represented by complex numbers, and the Fourier transform formula is: ; In the formula, Indicates the first A point in time, Indicates the interference signal at time point The value of is the basis function of Fourier transform, represents the total number of time points, and q represents the imaginary unit; From the Fourier transform results Extract the amplitude spectrum of frequency components from , the calculation expression of the amplitude spectrum is: ; In the formula, is the real part of the Fourier transform result, is the imaginary part of the Fourier transform result; According to the amplitude spectrum, calculate the fluctuation amplitude of the frequency component ,in is the standard deviation of the frequency component amplitude, indicating the fluctuation amplitude of the signal in the frequency domain; Calculates the average of the frequency component amplitudes ; The frequency fluctuation amplitude The average value of the frequency component amplitude Perform ratio calculation to obtain the frequency anomaly coefficient .

6. The Bluetooth headset anti-interference performance test system according to claim 1, characterized in that: The analysis of the response characteristics of the Bluetooth headset in different interference scenarios specifically includes: According to the evaluation result of the stability of the interference signal, the comprehensive abnormality coefficient is compared with a preset threshold value; If the comprehensive abnormal coefficient is greater than or equal to the preset threshold, the interference signal simulation is unstable; If the comprehensive anomaly coefficient is less than the preset threshold, the interference signal simulation is stable; Based on the stability of interference signal simulation, different interference signal levels are set, including level one and level two, where the level one is greater than the level two, to obtain performance data of the Bluetooth headset during the test, including audio signal decoding quality, data transmission delay, packet loss rate, and anti-interference recovery time; The performance data is analyzed according to different interference signal levels. Based on the analysis results, the anti-interference capability coefficient is calculated to evaluate the anti-interference capability of Bluetooth headsets at different interference signal levels.

7. The Bluetooth headset anti-interference performance test system according to claim 6, characterized in that: The process of obtaining the anti-interference capability coefficient is as follows: Obtain the performance data of Bluetooth headsets at different interference signal levels during the interference signal test and construct the performance data feature vector: ; In the formula, Indicates the number of levels, Indicates that the Bluetooth headset is at the interference signal level The audio signal decoding quality under Indicates that the Bluetooth headset is at the interference signal level The data transmission delay under Indicates that the Bluetooth headset is at the interference signal level The packet loss rate under Indicates that the Bluetooth headset is at the interference signal level Anti-interference recovery time under Indicates that the Bluetooth headset is at the interference signal level The input feature vector under Construct the target anti-interference ability coefficient calculation expression: ; in, represents the predicted anti-interference capability coefficient, represents the weight corresponding to the support vector, represents the kernel function, represents the bias term, represents the number of support vectors; For a given interference signal level , input feature vector , calculate the predicted anti-interference ability coefficient, the calculation expression is: ; In the formula, Indicates The anti-interference ability coefficient of each level; The target anti-interference capability coefficient and the predicted anti-interference capability coefficient are normalized and calculated to obtain the anti-interference capability coefficient calculation expression of the corresponding level: ; In the formula, and represents the preset scale factor, and and are greater than 0, Indicates that the Bluetooth headset is at the interference signal level The anti-interference ability coefficient under .

8. The Bluetooth headset anti-interference performance test system according to claim 6, characterized in that: The evaluation of the anti-interference capability of the Bluetooth headset under different interference signal levels specifically includes: Compare the anti-interference capability coefficient of the Bluetooth headset at different interference signal levels with a preset threshold; If the anti-interference coefficient of the Bluetooth headset is greater than or equal to the preset threshold under the first and second strengths, it means that the anti-interference ability of the corresponding Bluetooth headset is strong, which is recorded as first-level resistance; If the anti-interference coefficient of the Bluetooth headset is greater than or equal to the preset threshold at the first level, and the anti-interference coefficient of the Bluetooth headset is less than the preset threshold at the second level, it means that the anti-interference ability of the corresponding Bluetooth headset is average, which is recorded as the second level resistance; If the anti-interference coefficient of the Bluetooth headset is less than the preset threshold under the first and second strengths, it means that the anti-interference ability of the corresponding Bluetooth headset is weak, which is recorded as the third level resistance; Among them, the anti-interference ability level of Bluetooth headsets is: level one resistance is greater than level two resistance, and level two resistance is greater than level three resistance.

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