5G wireless communication signal test method, device and system

Abstract

The invention relates to the technical field of wireless communication networks, in particular to a 5G wireless communication signal test method, device and system, and the method comprises the steps: decomposing a test signal to obtain each IMF component signal, and segmenting the IMF component signal according to a minimum value point to obtain a plurality of data segments; determining a sub reference signal according to the minimum variance with the test signal; marking the residual IMF component signals as reference signals; calculating the matching degree between each reference signal and the sub-reference signal; determining a signal overlapping rate according to the matching degree between each reference signal and the sub reference signal, the number of overlapped peaks between the matched corresponding data segments and the time length of the data segments; and adjusting the signal gain in real time during signal receiving according to the signal overlapping rate, and compensating the test signal. By analyzing the frequency change of the signal waveform and adjusting the signal receiving parameter in real time, the signal distortion caused by the multipath effect is effectively inhibited, and the reliability and stability of the signal are improved.

Description

Technical Field

[0001] The present application relates to the field of wireless communication network technology, and specifically to a 5G wireless communication signal testing method, device and system. Background Art

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

[0003] When wireless signals encounter large 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. When the signal passes through different media (such as air, buildings, and vegetation), the propagation speed changes, causing the path direction to shift and forming new signal branches, thus forming a multipath effect. The multipath effect will cause the amplitude and phase of the received signal to change randomly, reducing the quality of the wireless communication signal, thereby increasing the bit error rate and reducing the communication reliability during the test of the wireless communication signal. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a 5G wireless communication signal testing method, device and system. The technical solutions adopted are as follows: In a first aspect, an embodiment of the present application provides a 5G wireless communication signal testing method, the method comprising the following steps: Get the test signal; After decomposing the test signal, multiple IMF component signals are obtained; each IMF component signal is segmented according to the minimum value point to obtain several data segments; The IMF component signal corresponding to the variance with the smallest difference from the variance of the test signal is recorded as a sub-reference signal; the remaining IMF component signals are recorded as reference signals; and the matching degree between each reference signal and the sub-reference signal is calculated; Determining a signal overlap rate according to the degree of matching between each reference signal and the sub-reference signal, the number of peaks overlapping between corresponding data segments after matching, and the time length of the data segments; The signal gain during signal reception is adjusted in real time according to the signal overlap rate to compensate the test signal.

[0005] Preferably, the method of dividing each IMF component according to the minimum value point to obtain a plurality of data segments is: The signal segment between any two adjacent minimum points in each IMF component is used as the segmented data segment.

[0006] Preferably, before calculating the degree of matching, starting with the first data segment of the sub-reference signal, the data segments of other reference signals are matched with the sub-reference signal in a chronological order, and the two data segments with the smallest distance between the data segment of the matching reference signal and the data segment of the sub-reference signal are taken as a combination, and each data segment of the reference signal has only one matching object.

[0007] Preferably, the matching degree is calculated as follows: In the formula, Sub-reference signal With The matching degree of the reference signal, Sub-reference signal Middle The starting time point of each data segment, Indicates The reference signal The starting time point of each data segment, Sub-reference signal Middle The variance of the data segment, Indicates The reference signal The variance of the data segment, Indicates the number of matching data segments, Represents an exponential function with a natural constant as base.

[0008] Preferably, the signal overlap rate is calculated as follows: In the formula, represents the signal overlap ratio, represents the number of reference signals, Sub-reference signal With The matching degree of the reference signal, Indicates the number of data segments, Sub-reference signal Middle The data segment and The number of peaks with overlapping positions in the reference signal matching pairs of data segments r, Indicates The reference signal The length of time for a data segment.

[0009] Preferably, the method of compensating the test signal by adjusting the signal gain during signal reception in real time according to the signal overlap rate comprises: Obtain the fitting curve of the current test signal and calculate the mean square error between the test signal and the fitting curve; Iteratively update the current corrected signal state value using the mean square error and signal overlap rate until the preset conditions are met; The signal gain at the current moment is calculated based on all the current corrected signal state values, and the communication signal is compensated.

[0010] Preferably, the method of iteratively updating the correction signal state value at the current moment by using the mean square error until a preset condition is met and then stopping 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 by 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 by using the error factor 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, the updating of the correction signal state value is stopped; Otherwise, continue to use the error factor to update the initial signal state value of the communication signal at the current moment.

[0011] Preferably, the method of calculating the signal gain at the current moment according to all current corrected signal state values ​​and compensating the communication signal includes: In the formula, Indicates The signal gain at time Indicates The variance of all corrected signal state values ​​at the moment, Indicates The maximum value of all correction signal status values ​​at the moment, Indicates The mean of all correction signal status values ​​at the moment; ,in, Indicates The signal state value after moment compensation, Indicates The initial signal state value at time Indicates The signal gain at that moment.

[0012] In a second aspect, an embodiment of the present application provides a 5G wireless communication signal testing device, which includes: A signal generation module, configured to generate a test signal; A channel simulation module, configured to simulate a channel for the test signal; A DUT (Device Under Test), configured to receive and process the signal that has undergone channel simulation; A signal analysis module, configured to analyze the signal output by the DUT and extract KPI data; A test control module, configured to control the working processes of each module and adjust the signal reception parameters in real time according to the signal overlap rate.

[0013] In a third aspect, an embodiment of the present application further provides a 5G wireless communication signal testing 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 5G wireless communication signal testing method described in any one of the above are implemented.

[0014] As can be seen from the above embodiments, the 5G wireless communication signal testing method, device, and system provided by the embodiments of the present application have at least the following beneficial effects: 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

[0015] 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 for the description of the embodiments or the prior art. Obviously, the drawings in the following description 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.

[0016] Figure 1 It is a flowchart of the steps of a 5G wireless communication signal testing method provided by an embodiment of the present application; Figure 2 It is a flowchart of the method for optimizing the test signal quality in step two provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] In order to further explain the technical means and effects adopted by this application to achieve the predetermined invention purpose, the following is a detailed description of a 5G wireless communication signal testing method, device and system proposed in this application, its specific implementation, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0018] Unless otherwise specified and limited, terms such as "comprises", "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 includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such articles or devices. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements 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 related listed items. All technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of this application.

[0019] The following is a detailed description of a 5G wireless communication signal testing method, device and system provided by the present application in conjunction with the accompanying drawings.

[0020] See also Figure 1 , which shows a step flow chart of a 5G wireless communication signal testing method provided by an embodiment of the present application, the method comprising the following steps: Step 1: Get the test signal.

[0021] The performance of 5G networks, including key indicators such as signal strength, coverage, data transmission rate, latency, and number of device connections. These performance data help understand the working status of the network and the user experience.

[0022] 1. The relationship between the various modules of the test control module (control center) is as follows: ── Control bus → Signal generation module (generates test signals) ── Control bus → Channel simulation module (simulate channel damage) ── Control bus → DUT (device under test) ── Control bus → Signal analysis module (KPI extraction) Signal generation module → (RF signal) → Channel simulation module → (simulation signal) → DUT → (output signal) → Signal analysis module (Note: Arrows indicate signal flow direction, control links are two-way communications, and signal links are one-way transmissions) 2. The function of each module: 1) Central node: test control module Multiple control links are sent downwards, connected to the signal generation module, channel simulation module, DUT (device under test), and signal analysis module. The workflow of each module is controlled, and the signal reception parameters are adjusted in real time according to the signal overlap rate.

[0023] 2) Signal generation module Receives control instructions from the test control module. Connects to the channel simulation module through RF cables or waveguides to transmit the generated test signals.

[0024] 3) Channel simulation module Receive control instructions from the test control module and set channel simulation parameters.

[0025] Receive the test signal from the signal generation module, perform channel simulation, and transmit it to the DUT through the antenna or RF port.

[0026] 4) DUT (device under test) Receive the simulated channel signal from the channel simulation module.

[0027] The signal is processed (such as demodulation, decoding, etc.) and the output signal is transmitted to the signal analysis module through a high-speed data interface or a radio frequency loopback link.

[0028] 5) Signal Analysis Module Receive control instructions from the test control module and set analysis parameters.

[0029] Receive output signals from the DUT, analyze them and extract KPI data.

[0030] The analysis results are sent back to the test control module through the control link.

[0031] 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.

[0032] The multipath effect refers to the phenomenon that wireless signals reach the receiving end along multiple paths due to reflection, refraction, scattering and other phenomena in the environment during propagation, and the propagation delay, amplitude and phase of each path are different, resulting in signal superposition interference, causing distortion or error. For example, when the difference in length between the two paths is half a wavelength, the signals may cancel each other (peaks and troughs overlap), causing signal attenuation at the receiving end.

[0033] Its impact is mainly manifested in: The signal waveform is distorted due to the superposition of multipath components, such as the appearance of ghosting on a TV screen; the difference in arrival delay of signals along different paths (delay spread) may cause inter-symbol interference (ISI), resulting in crosstalk between adjacent code elements; in the frequency domain, the multipath effect can cause frequency selective fading, causing the amplitude of some frequency bands of the signal to be significantly attenuated; at the same time, the random phase offset of the multipath signal can also cause phase ambiguity at the receiving end, affecting signal synchronization and demodulation accuracy.

[0034] These effects work together to reduce the reliability of communication systems, increase bit error rates, and limit data transmission rates.

[0035] Because the signal at the receiving end is composed of multiple copies with time delay, phase and amplitude propagated through different paths, the original signal waveform is distorted.

[0036] Based on this, the method flow chart for optimizing the test signal quality in step 2 is shown in the attached figure. Figure 2 As shown, the specific steps for analysis are as follows: S1, decomposing the test signal to obtain multiple IMF component signals; segmenting each IMF component signal according to the minimum value point to obtain a number of data segments.

[0037] 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 value point to obtain several data segments.

[0038] In this embodiment, the original signal is first decomposed by an empirical mode decomposition (EMD) algorithm, wherein the EMD algorithm is based on the difference of different frequencies of the test signal for decomposition, and multiple IMF component signals are obtained after decomposition, each signal representing the change of different frequency IMF component signals superimposed on the test signal. Among them, the EMD algorithm is a well-known technology and will not be described in detail, and other signal decomposition algorithms can also be appropriately used to decompose the signal in other implementations.

[0039] Then, each IMF component is segmented; any IMF component signal is taken as a reference signal, and all the minimum points of the reference signal are obtained, and the signal segments between two minimum points form segmented data, wherein the reference signal includes several data segments; wherein the first Reference data The first The amplitude of the data point is express.

[0040] S2, record the IMF component signal corresponding to the variance with the smallest difference from the variance of the test signal as the sub-reference signal; record the remaining IMF component signals as reference signals; calculate the matching degree between each reference signal and the sub-reference signal.

[0041] Because the main reason for the fluctuation of the signal is the different amount of information contained in the received signal in the time series, and the amount of information contained in the signal is different when it is received through different paths, so the relevant influence of different component signals in the timing is compared to obtain the multipath influence degree.

[0042] Furthermore, the present application records the IMF component signal corresponding to the variance with the smallest difference from the variance of the test signal as a sub-reference signal; records the remaining IMF component signals as reference signals; and calculates the degree of matching between each reference signal and the sub-reference signal.

[0043] Specifically, in this embodiment, the variance of the test signal is obtained , obtain the variance of the reference signal ,when When the minimum value is obtained, the reference signal is a sub-reference signal; Starting with the first data segment in the sub-reference signal, match the data segments of other reference signals with the sub-reference signal in chronological order, and take the data segment of the matching reference signal and the two data segments with the smallest distance among the data segments of the sub-reference signal as a combination. Each data segment of the reference signal has only one matching object. Then, the matching degree between each reference signal and the corresponding data segment of the sub-reference signal is calculated, and the calculation formula is as follows: In the formula, Sub-reference signal With The matching degree of the reference signal, Sub-reference signal Middle The starting time point of each data segment, Indicates The reference signal The starting time point of each data segment, Sub-reference signal Middle The variance of the data segment, Indicates The reference signal The variance of the data segment, Indicates the number of matching data segments, Represents an exponential function with a natural constant as base.

[0044] It should be understood that It indicates the relationship between the data segments of the reference signal and the data segments of the sub-reference signal in terms of timing. Because after the multipath effect occurs, the time when signals of different frequencies arrive at the receiving device will be different. The smaller the time difference, the smaller the interference caused by the multipath effect. Therefore, the time difference of different component signals at the same timing is compared here. It indicates the difference between different frequency signals at the same time sequence. The smaller the difference, the more it means that the communication signals received by the receiving device are generated by the same signal source, so the correlation of the signals is greater.

[0045] It should be noted that the matching degree of signals of different frequencies indicates the difference in the degree of change of the signal after the communication signal is generated, and after it passes through the interference and influence of a series of transmission media and reaches the receiving device. The greater the degree of influence of the transmission path, the greater the difference in the matching degree between the signals of different frequencies; therefore, the signal overlap rate is obtained based on the difference in the matching degree between different signals.

[0046] S3, determining a signal overlap rate according to the matching degree between each reference signal and the sub-reference signal, the number of overlapping peaks between corresponding data segments after matching, and the time length of the data segment.

[0047] Furthermore, if the difference between each reference signal and the sub-reference signal is large, it means that the signal aliasing phenomenon is more serious, and the test signal will be more chaotic, resulting in the difference in arrival delay of signals on different paths (delay spread), which may cause inter-symbol interference (ISI), resulting in crosstalk between adjacent code element energies.

[0048] Accordingly, the present application determines the signal overlap rate according to the degree of matching between each reference signal and the sub-reference signal, the number of overlapping peaks between corresponding data segments after matching, and the time length of the data segment.

[0049] In this embodiment, the corresponding data segments obtained by matching each sub-reference signal with the reference signal according to the above method are obtained, wherein, because when the EMD algorithm decomposes the signal, the frequency of the IMF component obtained earlier is higher, so there will be more data segments, and the frequency of the IMF component obtained later is lower, so there will be fewer data segments; and the sub-reference data segments are obtained according to the changes of the test signal, so there will be more data segments, so when matching, there will be a data segment of a sub-reference signal corresponding to multiple data segments of the reference signal; Obtain the matching degree between each reference signal and sub-reference signal ; Get the time interval of the data segment in each reference signal ; The signal overlap rate is obtained according to the changing relationship of each reference signal in the timing sequence; its calculation formula is as follows: In the formula, represents the signal overlap ratio, represents the number of reference signals, Sub-reference signal With The matching degree of the reference signal, Indicates the number of data segments, Sub-reference signal Middle The data segment and The number of peaks with overlapping positions in the reference signal matching pairs of data segments r, Indicates The reference signal The length of time for a data segment.

[0050] It should be understood that It represents the ratio of the number of overlapping peaks of the reference signal and the sub-reference signal at the same time sequence to the time length of the data segment. The more overlapping peaks there are, the greater the impact on the current signal is, and the shorter the time length of a single data segment is, the greater the interference to the communication signal is during the propagation process. Therefore, the relationship between the data segments of each reference signal and the sub-reference signal is calculated here to represent the overlap rate.

[0051] S4, adjusting the signal gain during signal reception in real time according to the signal overlap rate to compensate the test signal.

[0052] The above calculation test signal generates the overlapping rate of signal aliasing after reception, and signal aliasing will cause signals of different frequency components to experience non-uniform attenuation, resulting in serious signal energy loss 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, the gain of each sub-channel is dynamically adjusted to suppress the superposition distortion of multipath signals, so as to compensate for the inter-symbol interference caused by the multipath effect.

[0053] It should be noted that when dynamically adjusting the channel gain, the equalizer dynamically adjusts the filter coefficient (gain weight) to compensate for the signal distortion caused by the channel (such as amplitude attenuation and phase shift caused by multipath effects), thereby suppressing inter-symbol interference and restoring signal integrity. The core is to correct the frequency response or time domain characteristics of the channel through an adjustable filter, so that the total transfer function of the system is close to a distortion-free state.

[0054] Therefore, it is first necessary to obtain the gain weight of the real-time communication signal. In the present 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 overlap rate are used to iteratively update the corrected signal state value at the current moment until the preset conditions are met and then stop; the signal gain at the current moment is calculated based on all the current corrected signal state values, and the communication signal is compensated.

[0055] In this embodiment, a fitting curve of the current test signal is obtained, where the least square method is used for fitting, and then the mean square error MSE between the test signal and the fitting curve is obtained; wherein the least square method fitting is a well-known technology and will not be described in detail.

[0056] As a preferred implementation, the present application uses the mean square error and the signal overlap rate to iteratively update the corrected signal state value at the current moment until the preset conditions are met; the specific method is: 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 by 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 by using the error factor 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, the updating of the correction signal state value is stopped; Otherwise, continue to use the error factor to update the initial signal state value of the communication signal at the current moment.

[0057] In this embodiment, the initial signal state value of the communication signal at the next moment is obtained by the mean square error of the current signal, and its expression is as follows: In the formula, Indicates The initial signal state value at time Indicates The mean square error at time, Indicates The fitting function value at time , represents the signal overlap ratio; The initial signal state value of the communication signal at the next moment is estimated based on the mean square error of the current signal. This is the communication signal state after the initial estimation update. However, the updated state value obtained in this way is inaccurate. It is necessary to iterate the signal state value after the initial update to obtain the optimal signal state value.

[0058] Specifically, the error factor is obtained 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: , Indicates The error factor at time, Indicates The fitting function value at time , Indicates The value of the fitted function at time .

[0059] The larger the error factor is, the more inaccurate the signal is when the initial signal is compensated. Therefore, it is necessary to perform an iterative update. During the iterative update process, the communication signal at the current moment is still calculated, that is, the current initial signal state value is corrected according to the error factor. The calculation formula is as follows: In the formula, Indicates Corrected signal status value at time, Indicates The error factor at time, Indicates The initial signal state value at time; The fitting function value of the communication signal at the next moment is calculated based on the corrected signal state value, and compared with the fitting function value of the communication signal at the next moment calculated before the correction to obtain the error factor ,like , then no 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 means that there is a large difference between the current corrected signal state value and the actual signal state value, then continue to update until it converges to a value less than the preset error threshold ; where the threshold , this value can be set by the implementer.

[0060] Furthermore, the signal gain is obtained by continuously correcting the signal state value for multiple times. The size of the signal gain reflects the degree of amplification or attenuation of the input signal by the system. Its essence is to change the signal strength through energy conversion (such as amplifiers, antennas, filters), which directly affects the communication quality and system stability.

[0061] As a preferred implementation, the present application calculates the signal gain at the current moment according to all current corrected signal state values, and compensates the communication signal.

[0062] In this embodiment, the signal gain calculation formula is as follows: In the formula, Indicates The signal gain at time Indicates The variance of all corrected signal state values ​​at the moment, Indicates The maximum value of all correction signal status values ​​at the moment, Indicates The mean of all correction signal status values ​​at the moment.

[0063] It should be understood that It is used to characterize the fluctuation degree of the corrected signal state value. The greater the fluctuation, the greater the degree of adjustment required. Then, the less obvious the aliasing information of the communication signal after adjustment, and the greater the degree of restoration of the communication information after signal demodulation. Indicates signal error.

[0064] According to the above calculation, the signal gain at the current moment is obtained, and then the test signal is compensated. The calculation formula is as follows: ,in, Indicates The signal state value after moment compensation, Indicates The initial signal state value at time , Indicates The signal gain at that moment.

[0065] Step 3: Test the optimized test signal.

[0066] The compensated signal state value is the 5G communication signal after overcoming the multipath effect, and then the 5G signal is tested.

[0067] 5G wireless communication signal testing is designed to verify network performance, coverage capabilities and device compatibility to ensure that requirements such as high bandwidth, low latency and wide connectivity are met. The following are the main test directions and specific contents: 1. RF performance test 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.

[0068] 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.

[0069] 2. Network performance test ‌Rate and Latency‌: Measure download / upload rates (such as peak rate, edge rate) to verify whether they reach theoretical values ​​(such as 10 Gbps downstream); test end-to-end latency (target <1 ms) to support low-latency scenarios such as industrial control‌.

[0070] Signal quality indicators: Evaluate parameters such as RSRP (reference signal received power) and SINR (signal-to-noise ratio) to determine signal strength and anti-interference capabilities.

[0071] 3. Coverage Capability Verification Indoor and outdoor scene testing: Test signal attenuation characteristics and coverage continuity in different environments such as densely built-up areas and open areas to optimize base station deployment plans.

[0072] ‌Beamforming verification‌: For Massive MIMO base stations, test beam pointing accuracy and gain allocation to improve spatial multiplexing efficiency‌.

[0073] An embodiment of the present application further provides a 5G wireless communication signal testing device, the testing device comprising: A signal generating module, used for generating a test signal; A channel simulation module, used for performing channel simulation on a test signal; DUT, the device under test, is used to receive and process the signal simulated by the channel; Signal analysis module, used to analyze the signal output by the DUT and extract KPI data; The control module is used to control the workflow of each module and adjust the signal receiving parameters in real time according to the signal overlap rate.

[0074] 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, and when the processor executes the computer program, it implements any one of the above-mentioned 5G wireless communication signal testing methods.

[0075] The various embodiments in the present application are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0076] It should be noted that, unless otherwise specified and limited, terms such as "include", "comprises" 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 includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such article or device. In the absence of further restrictions, an element defined by the sentence "including one..." does not exclude the existence of other identical elements 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 related listed items.

[0077] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention herein. The present 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 common knowledge or customary technical means in the art that are not invented by the present application.

[0078] It should be understood that the present application is not limited to the exact construction that has been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof.

Claims

1. A 5G wireless communication signal testing method, characterized in that: The method comprises the following steps: Get the test signal; After decomposing the test signal, multiple IMF component signals are obtained; each IMF component signal is segmented according to the minimum value point to obtain several data segments; The IMF component signal corresponding to the variance with the smallest difference from the variance of the test signal is recorded as a sub-reference signal; the remaining IMF component signals are recorded as reference signals; and the matching degree between each reference signal and the sub-reference signal is calculated; Determining a signal overlap rate according to the degree of matching between each reference signal and the sub-reference signal, the number of peaks overlapping between corresponding data segments after matching, and the time length of the data segments; The signal gain during signal reception is adjusted in real time according to the signal overlap rate to compensate the test signal.

2. A 5G wireless communication signal testing method as claimed in claim 1, characterized in that: The method of dividing each IMF component according to the minimum value point to obtain several data segments is: The signal segment between any two adjacent minimum points in each IMF component is used as the segmented data segment.

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

4. A 5G wireless communication signal testing method as claimed in claim 3, characterized in that: The calculation method of the matching degree is: In the formula, Sub-reference signal With The matching degree of the reference signal, Sub-reference signal Middle The starting time point of each data segment, Indicates The reference signal The starting time point of each data segment, Sub-reference signal Middle The variance of the data segment, Indicates The reference signal The variance of the data segment, Indicates the number of matching data segments, Represents an exponential function with a natural constant as base.

5. A 5G wireless communication signal testing method as claimed in claim 1, characterized in that: The signal overlap ratio is calculated as follows: In the formula, represents the signal overlap ratio, represents the number of reference signals, Sub-reference signal With The matching degree of the reference signal, Indicates the number of data segments, Sub-reference signal Middle The data segment and The number of peaks with overlapping positions in the reference signal matching pairs of data segments r, Indicates The reference signal The length of time for a data segment.

6. A 5G wireless communication signal testing method as claimed in claim 1, characterized in that: The method of compensating the test signal by adjusting the signal gain during signal reception in real time according to the signal overlap rate comprises: Obtain the fitting curve of the current test signal and calculate the mean square error between the test signal and the fitting curve; Iteratively update the current corrected signal state value using the mean square error and signal overlap rate until the preset conditions are met; The signal gain at the current moment is calculated based on all the current corrected signal state values, and the communication signal is compensated.

7. A 5G wireless communication signal testing method as claimed in claim 6, characterized in that: The method of iteratively updating the state value of the correction signal at the current moment by using the mean square error until the preset condition is met and then stopping 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 by 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 by using the error factor 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, the updating of the correction signal state value is stopped; Otherwise, continue to use the error factor to update the initial signal state value of the communication signal at the current moment.

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

9. A 5G wireless communication signal testing device, characterized in that: Implementing the 5G wireless communication signal testing method according to any one of claims 1 to 8, the testing device comprises: A signal generating module, used for generating a test signal; A channel simulation module, used for performing channel simulation on a test signal; DUT, the device under test, is used to receive and process the signal simulated by the channel; Signal analysis module, used to analyze the signal output by the DUT and extract KPI data; The test control module is used to control the workflow of each module and adjust the signal receiving parameters in real time according to the signal overlap rate.

10. A 5G wireless communication signal testing system, comprising a plurality of 5G wireless communication signal testing devices as described in claim 9, and a central control system for coordinating the operation of each device.

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