A 5G wireless communication signal testing method, device and system

Abstract

This application relates to the technical field of wireless communication networks, and particularly to a 5G wireless communication signal testing method, device and system. The method includes: decomposing the test signal to obtain each IMF component signal, segmenting it according to the minimum value points to obtain several data segments; and determining the sub-reference signal according to the minimum variance with the test signal; recording the remaining IMF component signals as reference signals; calculating the matching degree between each reference signal and the sub-reference signal; determining the signal overlap rate according to the matching degree between each reference signal and the sub-reference signal, the number of overlapping peaks between the corresponding data segments after matching, and the time length of the data segments; and compensating the test signal by adjusting the signal gain during signal reception in real time according to the signal overlap rate. By analyzing the frequency change of the signal waveform and adjusting the signal reception parameters in real time, this application effectively suppresses the signal distortion caused by the multipath effect and improves the reliability and stability of the signal.

Description

Technical Field

[0001] This application relates to the technical field of wireless communication networks, and particularly to a 5G wireless communication signal testing method, apparatus, and system. Background Art

[0002] With the rapid development of 5G technology and the diversification of application scenarios, the requirements for the quality of wireless communication signals and network performance have been significantly improved. 5G networks need to meet core performance indicators such as ultra-high transmission rates (above 1 Gbps), ultra-low latency (<1 ms), massive device connections (>10^6 / km²), and wide-area coverage. 5G networks have become the infrastructure connecting various emerging applications such as the Internet of Things, intelligent transportation, autonomous driving, and remote medical treatment. However, the special frequency bands of 5G signals (especially high-frequency millimeter waves) and their complex network architectures (such as large-scale antenna arrays and network slicing technologies) pose challenges to the propagation characteristics of signals and network performance.

[0003] When wireless signals encounter large-sized obstacles such as buildings, walls, and the ground, part of the signal energy is reflected, forming a propagation path different from the direct signal path. And when the signal passes through different media (such as air and buildings, vegetation), the propagation speed changes, resulting in a deviation of the path direction and forming a new signal branch, thus forming the multipath effect. The multipath effect will cause random changes in the amplitude and phase of the received signal, reducing the quality of wireless communication signals, thereby increasing the bit error rate and reducing communication reliability during the testing of wireless communication signals. Summary of the Invention

[0004] To solve the above technical problems, the purpose of this application is to provide a 5G wireless communication signal testing method, apparatus, and system, and the specific technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of this application provides a 5G wireless communication signal testing method, which includes the following steps:

[0006] Obtain a test signal;

[0007] After decomposing the test signal, obtain multiple IMF component signals; divide each IMF component signal according to the minimum value points to obtain several data segments;

[0008] Denote the IMF component signal corresponding to the variance with the smallest difference from the variance of the test signal as the sub-reference signal; denote the remaining IMF component signals as the reference signals; calculate the matching degree between each reference signal and the sub-reference signal;

[0009] Determine the signal overlap rate according to the matching degree between each reference signal and the sub-reference signal, the number of overlapping peaks between the corresponding data segments after matching, and the time length of the data segments.

[0010] Adjust the signal gain during signal reception in real time according to the signal overlap rate to compensate the test signal;

[0011] Among them, the calculation method of the matching degree is:

[0012]

[0013] In the formula, represents the sub-reference signal and the th reference signal's matching degree, represents the starting time point of the th data segment in the sub-reference signal ; represents the th reference signal's th data segment's starting time point, represents the variance of the th data segment in the sub-reference signal ; represents the th reference signal's th data segment's variance, represents the number of matching data segments, represents the exponential function with the natural constant as the base.

[0014] Preferably, the method of dividing each IMF component according to the minimum points to obtain several data segments is:

[0015] Use the signal segment between any two adjacent minimum points in each IMF component as the divided data segment.

[0016] Preferably, before calculating the matching degree, starting from the first data segment of the sub-reference signal, match the data segments of other reference signals with the sub-reference signal in chronological order. The two data segments with the smallest distance in the data segments of the matching reference signal and the sub-reference signal are used as a combination, and each data segment of each reference signal has and only has one matching object.

[0017] Preferably, the method of adjusting the signal gain during signal reception in real time according to the signal overlap rate to compensate the test signal includes:

[0018] Obtain the fitting curve of the current test signal and calculate the mean square error between the test signal and the fitting curve;

[0019] Use the mean square error and the signal overlap rate to iteratively update the corrected signal state value at the current moment until the preset condition is met and then stop;

[0020] Calculate the signal gain at the current moment according to all the current correction signal status values, and compensate the communication signal.

[0021] Preferably, the method of iteratively updating the correction signal status value at the current moment using the mean square error and stopping until a preset condition is met includes:

[0022] Estimate the initial signal status value of the communication signal at the next moment according to the mean square error, and determine the error factor at the current moment using the difference between the fitting function values at the current moment and the next moment on the fitting curve; update the initial signal status value of the communication signal at the current moment using the error factor to obtain the correction signal status value at the current moment;

[0023] When the error factor at the current moment is less than the preset error threshold, stop updating the correction signal status value;

[0024] Otherwise, continue to update the initial signal status value of the communication signal at the current moment using the error factor.

[0025] Preferably, the method of calculating the signal gain at the current moment according to all the current correction signal status values and compensating the communication signal includes:

[0026]

[0027] In the formula, represents the signal gain at the th moment, represents the variance of all correction signal status values at the th moment, represents the maximum value of all correction signal status values at the th moment, represents the mean value of all correction signal status values at the th moment;

[0028] , where represents the compensated signal status value at the th moment, represents the initial signal status value at the th moment, represents the signal gain at the th moment.

[0029] In a second aspect, an embodiment of the present application provides a 5G wireless communication signal testing device, and the testing device includes:

[0030] A signal generation module for generating a test signal;

[0031] A channel simulation module for simulating a channel for the test signal;

[0032] A DUT (Device Under Test), which is used to receive and process signals that have undergone channel simulation;

[0033] A signal analysis module, which is used to analyze the signals output by the DUT and extract KPI data;

[0034] A test control module, which is used to control the working processes of each module and adjust the signal reception parameters in real time according to the signal overlap rate.

[0035] In a third aspect, an embodiment of the present application further provides a 5G wireless communication signal test system, which includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the above-mentioned 5G wireless communication signal test method according to any one of the above are implemented.

[0036] As can be seen from the above embodiments, a 5G wireless communication signal test method, device, and system provided by the embodiments of the present application at least have the following beneficial effects:

[0037] The present application analyzes the frequency change of the signal waveform to obtain the signal overlap rate, and adjusts the signal reception parameters in real time to optimize the signal quality; decomposes the signal using the EMD algorithm to obtain multiple IMF component signals, and obtains the signal overlap rate through a specific calculation method; dynamically adjusts the channel gain according to the signal overlap rate, and compensates for the signal distortion caused by the channel through an equalizer. The purpose of the present application is to effectively suppress the signal distortion caused by the multipath effect and improve the reliability and stability of the signal by analyzing the frequency change of the signal waveform and adjusting the signal reception parameters in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0039] Figure 1 It is a flowchart of the steps of a 5G wireless communication signal test method provided by an embodiment of the present application;

[0040] Figure 2 It is a flowchart of the method for optimizing the test signal quality in step 2 provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] To further elaborate on the technical means and effects adopted by this application to achieve the intended invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details a 5G wireless communication signal testing method, device, and system proposed according to this application, including their specific implementation manners, structures, features, and effects, as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0042] Unless otherwise specified and limited, terms such as "including", "comprising", or any other variant thereof are intended to cover non-exclusive inclusion, such that a circuit structure, article, or device including a series of elements not only includes those elements but also other elements not explicitly listed, or further includes elements inherent to such article or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the article or device including the said element. Additionally, the term "and / or" used herein includes any and all combinations of one or more of the related listed items. All technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs.

[0043] The following specifically describes the specific solutions of a 5G wireless communication signal testing method, device, and system provided by this application in conjunction with the accompanying drawings.

[0044] Please refer to Figure 1 , which shows a flowchart of the steps of a 5G wireless communication signal testing method provided by an embodiment of this application. The method includes the following steps:

[0045] Step 1: Obtain a test signal.

[0046] The performance of a 5G network includes key metrics such as signal strength, coverage area, data transmission rate, latency, and the number of device connections. These performance data help understand the working state of the network and the user experience.

[0047] 1. The relationships between the various modules of the test control module (control center) are as follows:

[0048] ── Control bus → Signal generation module (generate test signals)

[0049] ── Control bus → Channel simulation module (simulate channel impairments)

[0050] ── Control bus → DUT (device under test)

[0051] ── Control bus → Signal analysis module (KPI extraction)

[0052] Signal generation module → (RF signal) → Channel simulation module → (Analog signal) → DUT → (Output signal) → Signal analysis module

[0053] (Note: The arrow indicates the signal flow direction. The control link is for two-way communication, and the signal link is for one-way transmission.)

[0054] 2. Functions of each module:

[0055] 1) Central node: Test control module

[0056] Send out multiple control links downward, which are respectively connected to the signal generation module, the channel simulation module, the DUT (Device Under Test), and the signal analysis module. Control the working processes of each module and adjust the signal reception parameters in real time according to the signal overlap rate.

[0057] 2) Signal generation module

[0058] Receive control instructions from the test control module. Connect to the channel simulation module through a RF cable or waveguide to transmit the generated test signal.

[0059] 3) Channel simulation module

[0060] Receive control instructions from the test control module and set the channel simulation parameters.

[0061] Receive the test signal from the signal generation module, perform channel simulation, and then transmit it to the DUT through an antenna or a RF port.

[0062] 4) DUT (Device Under Test)

[0063] Receive the channel signal after simulation from the channel simulation module.

[0064] Process the signal (such as demodulation, decoding, etc.), and transmit the output signal to the signal analysis module through a high-speed data interface or a RF loopback link.

[0065] 5) Signal analysis module

[0066] Receive control instructions from the test control module and set the analysis parameters.

[0067] Receive the output signal from the DUT, perform analysis, and extract KPI data.

[0068] Send the analysis result back to the test control module through the control link.

[0069] Step 2: Analyze the frequency change of the test signal waveform to obtain the signal overlap rate, and then adjust the signal reception parameters in real time to optimize the signal quality.

[0070] Multipath effect refers to the phenomenon that wireless signals reach the receiving end along multiple paths due to reflection, refraction, scattering, etc. in the environment during the propagation process, and the propagation delays, amplitudes, and phases of each path are different, resulting in signal superposition interference, causing distortion or errors. For example, when the path length difference is half a wavelength, the signals may cancel each other out (crest and trough superposition), resulting in signal fading at the receiving end.

[0071] Its impacts are mainly manifested as follows:

[0072] The signal waveform is distorted due to the superposition of multipath components. For example, distortion phenomena such as double images appear on the TV screen; the time delay difference (time delay spread) of signals arriving from different paths may cause inter-symbol interference (ISI), resulting in crosstalk of adjacent symbol energies.

[0073] In the frequency domain, multipath effect will cause frequency-selective fading, resulting in significant attenuation of the amplitude of some frequency bands of the signal; at the same time, the random phase shift of multipath signals will also cause phase ambiguity at the receiving end, affecting the signal synchronization and demodulation accuracy.

[0074] The combined action of these effects will reduce the reliability of the communication system, increase the bit error rate, and limit the data transmission rate.

[0075] Because the signal at the receiving end is composed of the superposition of multiple copies with different time delays, phases, and amplitudes propagated along different paths, the original signal waveform is distorted.

[0076] Accordingly, the flowchart of the method for optimizing the test signal quality in step two is as shown in the appendix Figure 2 and is analyzed as follows:

[0077] S1. After decomposing the test signal, multiple IMF component signals are obtained; each IMF component signal is segmented according to the minimum points to obtain several data segments.

[0078] Accordingly, in order to separate the superposition generated by different paths, the present application decomposes the test signal to obtain multiple IMF component signals; each IMF component signal is segmented according to the minimum points to obtain several data segments.

[0079] In this embodiment, first, the original signal is decomposed by the empirical mode decomposition (EMD) algorithm. The EMD algorithm is decomposed based on the differences in different frequencies of the test signal. After decomposition, multiple IMF component signals are obtained, and each signal represents the change of different frequency IMF component signals superposed on the test signal. Among them, the EMD algorithm is a well-known technology and will not be elaborated. In other embodiments, other signal decomposition algorithms can also be appropriately used to decompose the signal.

[0080] Then, each IMF component is segmented; any IMF component signal is denoted as the reference signal, all the minimum points of the reference signal are obtained, and the segmented data is composed of the signal segments between two minimum points. The reference signal contains several data segments. Among them, the amplitude of the th data segment of the th reference data and the th data point in it are represented by

[0081] S2. The IMF component signal corresponding to the variance with the smallest difference from the variance of the test signal is denoted as the sub-reference signal; the remaining IMF component signals are denoted as the reference signals; the matching degree between each reference signal and the sub-reference signal is calculated.

[0082] Because the main reason for the fluctuation change of the signal is the different information content contained in the signal received in the time series, and the information content is also different when the signal is received through different paths. Therefore, the correlation effects of different component signals in the time sequence are compared to obtain the multi-path influence degree.

[0083] Furthermore, in this application, the IMF component signal corresponding to the variance with the smallest difference from the variance of the test signal is denoted as the sub-reference signal; the remaining IMF component signals are denoted as the reference signals; the matching degree between each reference signal and the sub-reference signal is calculated.

[0084] Specifically, in this embodiment, the variance of the test signal is obtained, and the variance of the reference signal is obtained. When reaches the minimum value, this reference signal is the sub-reference signal.

[0085] Starting from the first data segment of the sub-reference signal, the data segments of other reference signals are matched with the sub-reference signal in the order of time sequence. The two data segments with the smallest distance in the data segments of the matching reference signal and the sub-reference signal are used as a combination, and each data segment of each reference signal has and only has one matching object.

[0086] Furthermore, the matching degree between each reference signal and the corresponding data segment of the sub-reference signal is calculated, and its calculation formula is as follows:

[0087]

[0088] In the formula, represents the matching degree between the sub-reference signal and the th reference signal, represents the th in the sub-reference signal The starting time point of a data segment Indicates the starting time point of the th data segment in the th reference signal, indicating the variance of the th data segment in the th sub-reference signal, indicating the variance of the th data segment in the

[0089] It should be understood that indicates the temporal relationship between the data segments of the reference signal and the data segments of the sub-reference signal. Since signals of different frequencies arrive at the receiving device at different times after the multipath effect occurs, the smaller the time difference, the smaller the interference caused by the multipath effect. Therefore, the time differences of different component signals at the same time sequence are compared here; indicates the difference between different frequency signals at the same time sequence. The smaller the difference degree, the more it indicates that the communication signal received by the receiving device is generated by the same signal source, and thus the correlation of the signals is greater.

[0090] It should be noted that the matching degree of different frequency signals indicates the difference in the degree of signal change after the communication signal is generated and passes through a series of interferences and influences of the transmission medium. If the influence degree of the transmission path is greater, the difference in the matching degree between different frequency signals is greater; therefore, the signal overlap rate is obtained according to the difference in the matching degree between different signals.

[0091] S3. Determine the signal overlap rate according to the matching degree between each reference signal and the sub-reference signal, the number of overlapping peaks between the corresponding data segments after matching, and the time length of the data segments.

[0092] Furthermore, if the differences between each reference signal and the sub-reference signal are large, it indicates that the signal aliasing phenomenon is relatively serious, and the test signal is more likely to be chaotic, resulting in possible inter-symbol interference (ISI) caused by the difference in the arrival time delay of signals on different paths (delay spread), and causing mutual crosstalk of the energies of adjacent code elements.

[0093] Accordingly, the present application determines the signal overlap rate according to the matching degree between each reference signal and the sub-reference signal, the number of overlapping peaks between the corresponding data segments after matching, and the time length of the data segments.

[0094] In this embodiment, the corresponding data segments obtained by matching each sub-reference signal with the reference signal according to the above method are acquired. Since when the EMD algorithm decomposes a signal, the earlier obtained IMF components have higher frequencies, there will be more data segments, while the later obtained IMF components have lower frequencies and fewer data segments. The sub-reference data segments are obtained based on the changes in the test signal, so there will be more data segments. Then, when matching, there will be a situation where the data segments of one sub-reference signal correspond to multiple data segments of the reference signal.

[0095] It should be understood that the more the number of overlapping peaks, the greater the degree of influence on the current signal, and the shorter the time length of a single data segment, the greater the interference on the communication signal during propagation. Therefore, the relationship between the data segments of each reference signal and the sub-reference signal is calculated here to represent the overlapping rate.

[0096] S4. According to the signal overlapping rate, the signal gain during signal reception is adjusted in real time to compensate the test signal.

[0097] The overlapping rate of the test signal generating signal aliasing after reception is calculated above. Signal aliasing will cause non-uniform attenuation of signals with different frequency components, resulting in serious loss of signal energy in some frequency bands. Therefore, it is necessary to adjust the signal according to the real-time aliasing rate of the signal. During the adjustment process, by dynamically adjusting the gains of each sub-channel, the superimposed distortion of the multipath signals is suppressed to compensate for the inter-symbol interference caused by the multipath effect.

[0098] It should be noted that when dynamically adjusting the channel gain, the equalizer compensates for the signal distortion caused by the channel (such as the amplitude attenuation and phase shift caused by the multipath effect) by dynamically adjusting the filter coefficients (gain weights), thereby suppressing the inter-symbol interference and restoring the signal integrity. Its core is to correct the frequency response or time-domain characteristics of the channel through an adjustable filter to make the total transmission function of the system close to the distortionless state.

[0099] Therefore, first, the gain weights of the real-time communication signal need to be acquired. In this application, the fitting curve of the current test signal is obtained, and the mean square error between the test signal and the fitting curve is calculated. The mean square error and the signal overlapping rate are used to iteratively update the corrected signal state value at the current moment until the preset condition is met and then stop. The signal gain at the current moment is calculated based on all the corrected signal state values at the current moment, and the communication signal is compensated.

[0100] In this embodiment, the fitting curve of the current test signal is obtained. Here, the least squares method is used for fitting, and then the mean square error MSE between the test signal and the fitting curve is obtained. The least squares method fitting is a well-known technique and will not be elaborated here.

[0101] As a preferred implementation, the present application iteratively updates the corrected signal state value at the current moment using the mean square error and the signal overlap rate, and stops until a preset condition is met; the specific method is as follows:

[0102] Estimate the initial signal state value of the communication signal at the next moment according to the mean square error, and determine the error factor at the current moment using the difference between the fitting function values at the current moment and the next moment on the fitting curve; update the initial signal state value of the communication signal at the current moment using the error factor to obtain the corrected signal state value at the current moment;

[0103] When the error factor at the current moment is less than the preset error threshold, stop updating the corrected signal state value;

[0104] Otherwise, continue to update the initial signal state value of the communication signal at the current moment using the error factor.

[0105] In this embodiment, the initial signal state value of the communication signal at the next moment is obtained from the mean square error of the current signal, and its expression is as follows:

[0106]

[0107] In the formula, represents the initial signal state value at the th moment, represents the mean square error at the th moment, represents the fitting function value at the th moment, represents the signal overlap rate;

[0108] Estimate the initial signal state value of the communication signal at the next moment according to the mean square error of the current signal. This is the communication signal state after the initial estimation update, but the updated state value obtained in this way is inaccurate, and it is necessary to iterate the signal state value after the initial update to obtain the optimal signal state value.

[0109] Specifically, obtain the error factor according to the fitting function value of the signal at the current moment and the fitting function value of the signal at the next moment: , represents the error factor at the th moment, represents the fitting function value at the th moment, represents the fitting function value at the th moment.

[0110] The larger the error factor is, it indicates that the obtained signal is inaccurate during the initial signal compensation. Therefore, iterative update is required. During the iterative update process, the communication signal at the current moment is still calculated, that is, the initial signal state value at the current moment is corrected according to the error factor, and its calculation formula is as follows:

[0111]

[0112] In the formula, represents the corrected signal state value at the th moment, represents the error factor at the th moment, represents the initial signal state value at the th moment;

[0113] The fitting function value of the communication signal at the next moment is calculated from the corrected signal state value, and compared with the fitting function value of the communication signal at the next moment calculated before correction to obtain the error factor . If , then no further iterative update is performed, the current corrected signal state value is output, and the signal state value at the next moment is calculated; if , it indicates that there is a large difference between the current corrected signal state value and the actual signal state value, and then continue to update until it converges to be less than the preset error threshold ; where the threshold , and this value can be set by the implementer himself.

[0114] Furthermore, by continuously correcting the signal state value multiple times, the signal gain is obtained. The magnitude of the signal gain reflects the amplification or attenuation degree of the system to the input signal. Its essence is to change the signal intensity through energy conversion (such as amplifiers, antennas, filters), which directly affects the communication quality and system stability.

[0115] As a preferred implementation manner, the present application calculates the signal gain at the current moment according to all the current corrected signal state values and compensates the communication signal.

[0116] In this embodiment, the signal gain calculation formula is as follows:

[0117]

[0118] In the formula, represents the signal gain at the th moment, represents the variance of all corrected signal state values at the th moment, represents the maximum value of all corrected signal state values at the th moment, represents the The mean value of all corrected signal status values at a moment.

[0119] It should be understood that Used to characterize the fluctuation degree of the corrected signal status value. The greater the fluctuation, the greater the degree of adjustment required. Then, the aliasing information of the communication signal after adjustment is less obvious, and the restoration degree of the communication information after signal demodulation is greater. Indicates the signal error.

[0120] Obtain the signal gain at the current moment according to the above calculation, and then compensate the test signal. Its calculation formula is as follows: , where Represents the Signal status value after compensation at the moment, Represents the Initial signal status value at the moment, Represents the Signal gain at the moment.

[0121] Step 3: Test the optimized test signal.

[0122] The signal status value after compensation is the 5G communication signal that overcomes the multipath effect, and then test the 5G signal.

[0123] The 5G wireless communication signal test aims to verify the network performance, coverage ability and device compatibility, and ensure to meet the requirements of high bandwidth, low latency, wide connection, etc. The following are the main test directions and specific contents:

[0124] I. Radio frequency performance test

[0125] Transmit power and receive sensitivity: Test whether the transmit power of the base station and the terminal meets the standard, and whether the receive sensitivity can accurately identify weak signals to ensure a reasonable link.

[0126] Spectrum purity and modulation quality: Analyze parameters such as signal spectrum leakage and phase noise, and verify whether the modulation accuracy (such as EVM, error vector magnitude) meets the 3GPP standard.

[0127] II. Network performance test

[0128] Rate and latency: Measure the download / upload rate (such as peak rate, edge rate), and verify whether it reaches the theoretical value (such as 10 Gbps downlink); test the end-to-end latency (target <1 ms) to support low-latency scenarios such as industrial control.

[0129] Signal quality indicators: Evaluate parameters such as RSRP (Reference Signal Received Power), SINR (Signal-to-Interference-plus-Noise Ratio), etc., and judge the signal strength and anti-interference ability.

[0130] III. Coverage Ability Verification

[0131] Indoor and outdoor scenario testing: Test the signal attenuation characteristics and coverage continuity in different environments such as densely built-up areas and open spaces, and optimize the base station deployment plan.

[0132] Beamforming verification: For Massive MIMO base stations, test the beam pointing accuracy and gain allocation to improve the spatial multiplexing efficiency.

[0133] An embodiment of the present application also provides a 5G wireless communication signal testing device, and the testing device includes:

[0134] A signal generation module for generating test signals;

[0135] A channel simulation module for simulating the channel of the test signal;

[0136] A DUT (Device Under Test) for receiving and processing the signal after channel simulation;

[0137] A signal analysis module for analyzing the signal output by the DUT and extracting KPI data;

[0138] A control module for controlling the working processes of each module and adjusting the signal reception parameters in real time according to the signal overlap rate.

[0139] Based on the same inventive concept as the above method, another embodiment of the present application also provides a 5G wireless communication signal testing system, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements a 5G wireless communication signal testing method described in any one of the above.

[0140] The embodiments in the present application are all described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the differences between each embodiment and other embodiments are emphasized.

[0141] It should be noted that unless otherwise specified and limited, terms such as "including", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such article or device. Without further limitation, an element defined by the statement "including one..." does not preclude the existence of another identical element in the article or device including the element. In addition, the term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0142] Other embodiments of the present application will be readily contemplated by those skilled in the art after considering the specification and practicing the invention herein. This application is intended to cover any variations, uses, or adaptations of the present application, which follow the general principles of the present application and include known common general knowledge or conventional technical means in the technical field not invented by the present application.

[0143] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A 5G wireless communication signal testing method, characterized in that, The method includes the following steps: Obtain a test signal; After decomposing the test signal, obtain multiple IMF component signals; segment each IMF component signal according to the minimum points to obtain several data segments; Denote the IMF component signal corresponding to the variance with the smallest difference from the variance of the test signal as the sub-reference signal; denote the remaining IMF component signals as reference signals; calculate the matching degree between each reference signal and the sub-reference signal; Determine the signal overlap rate according to the matching degree between each reference signal and the sub-reference signal, the number of overlapping peaks between the corresponding data segments after matching, and the time length of the data segments; According to the signal overlap rate, adjust the signal gain during signal reception in real time to compensate the test signal; Among them, the calculation method of the matching degree is: Wherein, represents the sub-reference signal and the matching degree with the th reference signal, represents the starting time point of the th data segment in the sub-reference signal , represents the starting time point of the th data segment in the th reference signal, represents the variance of the th data segment in the sub-reference signal , represents the variance of the th data segment in the th reference signal, represents the number of matching data segments, represents the exponential function with the natural constant as the base.

2. The 5G wireless communication signal testing method according to claim 1, wherein The method of segmenting each IMF component according to the minimum points to obtain several data segments is: Use the signal segment between any two adjacent minimum points in each IMF component as the segmented data segment.

3. A 5G wireless communication signal testing method according to claim 1, characterized in that, Before calculating the matching degree, starting from the first data segment of the sub-reference signal, match the data segments of other reference signals with the sub-reference signal in chronological order. The two data segments with the smallest distance in the data segments of the matching reference signal and the data segments of the sub-reference signal are used as a combination, and each data segment of each reference signal has and only has one matching object.

4. A 5G wireless communication signal testing method according to claim 1, characterized in that, The method of adjusting the signal gain during signal reception in real time according to the signal overlap rate to compensate the test signal includes: Obtain the fitting curve of the current test signal and calculate the mean square error between the test signal and the fitting curve; Use the mean square error and the signal overlap rate to iteratively update the corrected signal state value at the current moment until the preset condition is met and then stop; Calculate the signal gain at the current moment according to all the corrected signal state values at the current moment and compensate the communication signal.

5. A 5G wireless communication signal testing method according to claim 4, wherein The method of using the mean square error to iteratively update the corrected signal state value at the current moment until the preset condition is met and then stop includes: Estimate the initial signal state value of the communication signal at the next moment according to the mean square error, and determine the error factor at the current moment using the difference between the fitting function values at the current moment and the next moment on the fitting curve; use the error factor to update the initial signal state value of the communication signal at the current moment to obtain the corrected signal state value at the current moment; When the error factor at the current moment is less than the preset error threshold, stop updating the corrected signal state value; Otherwise, continue to update the initial signal state value of the communication signal at the current moment using the error factor.

6. A 5G wireless communication signal testing method according to claim 4, characterized in that, The method of calculating the signal gain at the current moment according to all the corrected signal state values at the current moment and compensating the communication signal includes: In the formula, represents the signal gain at the th moment, represents the variance of all corrected signal status values at the th moment, represents the maximum value of all corrected signal status values at the th moment, represents the mean value of all corrected signal status values at the th moment; , where represents the signal state value after time compensation at the th moment, represents the initial signal state value at the th moment, represents the signal gain at the th moment.

7. A 5G wireless communication signal testing device, characterized in that, Implement the 5G wireless communication signal test method according to any one of claims 1-6. The test device includes: A signal generation module for generating a test signal; A channel simulation module for simulating the channel of the test signal; A DUT (Device Under Test) for receiving and processing the signal after channel simulation; A signal analysis module for analyzing the signal output by the DUT and extracting KPI data; The test control module is used to control the working processes of each module and adjust the signal reception parameters in real time according to the signal overlap rate.

8. A 5G wireless communication signal test system, comprising a plurality of 5G wireless communication signal test devices as described in claim 7, and a central control system for coordinating the work of each device.

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