Communication signal monitoring method and system of intelligent repeater

Abstract

The invention relates to the field of communication signal monitoring, in particular to a communication signal monitoring method and system for an intelligent repeater, and the method comprises the steps: collecting a signal time sequence of a wireless communication signal in a preset sampling period; taking any signal in the signal time sequence as a target signal, calculating the adjustment step length of the target signal, updating the weight of a filter module in the repeater according to the adjustment step length, and outputting an error signal according to the filter module after the weight is updated so as to construct an error sequence, one signal in the signal time sequence corresponds to one error signal; and outputting a signal monitoring result according to the error sequence. According to the invention, the signal monitoring accuracy can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of communication signal monitoring. More particularly, the present application relates to a communication signal monitoring method and system of an intelligent repeater. BACKGROUND

[0002] The purpose of repeater signal monitoring is to identify interference and then make a decision to suspend or forward the signal according to the monitoring result. The current 5G / 6G communication protocol sets a strict time limit for the signal monitoring of the repeater: the repeater must complete interference identification and make a decision within a very short time. However, the traditional LMS (Least Mean Square) algorithm updates the filter weight with a fixed step, which leads to a convergence process, i.e. the time required for the algorithm to make a stable judgment from the received signal exceeds the maximum response time allowed by the protocol. As a result, in a critical interference scenario, the algorithm needs a longer time to make a reliable judgment. Due to the time limit, the probability of misjudging instantaneous interference as real attenuation significantly increases during the critical response period. Therefore, the signal monitoring of the traditional repeater is not accurate enough. SUMMARY

[0003] The main purpose of the embodiments of the present application is to propose a communication signal monitoring method and system of an intelligent repeater, aiming to improve the accuracy of signal monitoring.

[0004] To achieve the above-mentioned purpose, the embodiments of the first aspect of the present application propose a communication signal monitoring method of an intelligent repeater, which comprises: collecting signal time sequences of wireless communication signals in a preset sampling period, taking any signal in the signal time sequences as a target signal, calculating an adjustment step of the target signal, updating the weight of a filter module in the repeater according to the adjustment step, and outputting an error signal to construct an error sequence according to the filter module after updating the weight, wherein one signal in the signal time sequence corresponds to one error signal; outputting a signal monitoring result according to the error sequence; wherein the calculation method of the adjustment step is: generating a window in the signal time sequence with the target signal as the right boundary, taking all signals in the window as a sub-sequence, calculating a noise influence coefficient of the sub-sequence, calculating the relative mutation intensity of the target signal, taking the sum of the reciprocal of the relative mutation intensity and the noise influence coefficient as the reciprocal of the step scaling coefficient, obtaining the reference step of the target signal, and taking the product of the reference step and the step scaling coefficient as the adjustment step.

[0005] In some embodiments, calculating the noise influence coefficient of the sub-sequence inside the window comprises: calculating the average noise power and the average signal power of the sub-sequence; and taking the ratio of the average noise power and the average signal power as the noise influence coefficient.

[0006] In some embodiments, the acquiring the relative mutation intensity of the target signal comprises: calculating a disturbance change rate of the target signal; acquiring a smoothing factor, calculating a historical reference of the disturbance change rate based on the smoothing factor by using an exponential weighted moving average algorithm; taking a ratio of the disturbance change rate and the historical reference as the relative mutation intensity.

[0007] In some embodiments, the calculating the disturbance change rate of the target signal comprises: calculating a Doppler shift; taking a signal at a previous sampling time adjacent to a sampling time of the target signal as a reference signal, calculating an instantaneous amplitude of the target signal and an instantaneous amplitude of the reference signal, calculating an absolute difference value of the instantaneous amplitude of the target signal and the instantaneous amplitude of the reference signal, taking a ratio of the absolute difference value and the preset sampling period as an instantaneous change rate, and taking a ratio of the instantaneous change rate and the Doppler shift as the disturbance change rate of the target signal.

[0008] In some embodiments, the acquiring the smoothing factor comprises: calculating a Doppler shift, taking an inverse of the Doppler shift as a channel coherence time; and performing a negative correlation mapping on a ratio of the preset sampling period and the channel coherence time by using an exponential function to obtain the smoothing factor.

[0009] In some embodiments, the acquiring the reference step length of the target signal comprises: calculating an average signal power of the sub-sequence; and taking a ratio of 2 and the average signal power as the reference step length.

[0010] In some embodiments, the outputting the monitoring result according to the error sequence comprises: counting a continuous number of errors greater than a first preset threshold in the error sequence; in response to the continuous number being greater than a second preset threshold, taking a real attenuation of the wireless communication signal as the monitoring result; and in response to the continuous number not being greater than the second preset threshold, taking a transient disturbance of the wireless communication signal as the monitoring result.

[0011] Embodiments of the second aspect of the present application propose a communication signal monitoring system of an intelligent repeater, the system comprising: a processor and a memory, the memory storing computer program instructions, when the computer program instructions are executed by the processor, a communication signal monitoring method of an intelligent repeater is realized.

[0012] Advantages of the present application: Traditional repeaters use a fixed step size in the implementation of the LMS algorithm, while this invention uses a dynamic step size, which is positively correlated with the step size scaling factor. The step size scaling factor is related to the relative change intensity of the signal at the current moment and the noise influence factor: the greater the relative change intensity, the greater the interference of the signal at the previous moment. In this case, the step size scaling factor will be larger, and the step size will also be larger. Increasing the step size can speed up the iteration completion speed, that is, it can achieve interference suppression and clean signal generation faster. It can complete interference identification and make decisions as soon as possible within the time specified by the 5G / 6G communication protocol, reduce the probability of misjudging instantaneous interference as real attenuation, improve the accuracy of repeater monitoring, and due to the existence of the noise influence factor, the step size scaling factor will not increase indefinitely, that is, the step size will not increase indefinitely, so that the algorithm will never break the stability boundary while accelerating convergence. Attached Figure Description

[0013] Figure 1 This is a flowchart of steps S1-S2 in a communication signal monitoring method for an intelligent repeater according to an embodiment of the present invention. Detailed Implementation

[0014] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0015] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0016] Reference Figure 1 A method for monitoring communication signals of an intelligent repeater includes steps S1-S2, as detailed below: Step S1: Collect the signal time series of the wireless communication signal in the preset sampling period, take any signal in the signal time series as the target signal, calculate the adjustment step size of the target signal, update the weight of the filter module in the repeater according to the adjustment step size, and output the error signal of the filter module after updating the weight to construct the error sequence.

[0017] In this context, one signal in the signal time series corresponds to one error signal. The adjustment step size is calculated as follows: with the target signal as the right boundary, a window is generated in the signal time series. All signals within the window are taken as subsequences. The noise influence coefficient of the subsequence is calculated. The relative abrupt change intensity of the target signal is calculated. The sum of the reciprocal of the relative abrupt change intensity and the noise influence coefficient is taken as the reciprocal of the step size scaling factor. The reference step size of the target signal is obtained. The product of the reference step size and the step size scaling factor is taken as the adjustment step size.

[0018] It should be further explained that wireless communication signals are essentially analog voltage signals generated after electromagnetic waves received by the antenna are processed by the radio frequency front end. The repeater continuously samples the received wireless communication signals at a preset sampling period to form a signal time series. , This is also the input signal for the filter module in the repeater; specifically, the preset sampling period is... .

[0019] It should be noted that a window is used to extract a subsequence (a segment of the signal sequence preceding the target signal) and its noise impact coefficient is calculated to reflect the stable noise level of the current communication environment (at the time the target signal is located). The noise impact coefficients of other signals in the signal time series are calculated in the same way as the target signal. The specific value of the window length can be adjusted according to the actual application scenario; specifically, the window length is 10.

[0020] It is understandable that calculating the noise impact coefficient of a subsequence within a window includes: calculating the average noise power and average signal power of the subsequence; and using the ratio of the average noise power to the average signal power as the noise impact coefficient.

[0021] For example, the formula for calculating the noise impact factor is as follows: In the formula middle, for Noise impact factor at time, For window length, for The sampled signal at time 10:00. for Expected signal at time, for Noise signal at any moment, for Noise power at any given time The average noise power of the subsequence. for Signal power at time, The average signal power of the subsequence.

[0022] For the formula It should be further noted that the desired signal is generated locally by the repeater according to standard rules based on network configuration parameters. Specifically, the repeater acquires network identification information during the communication establishment phase and calculates the sequence in real time according to the protocol specifications, without the need for additional signal acquisition. This signal serves as a benchmark for evaluating the quality of the received signal, and by analyzing the difference between the sampled signal and the desired signal, the degree of noise impact in the channel can be quantified.

[0023] For the formula It should be added that, Used to measure the degree of threat that noise poses to the stability of the LMS algorithm. The closer the value is to 0, the lower the degree of influence and threat of noise in the channel at the current sampling time. Otherwise, it means that the degree of influence of noise in the channel at the current sampling time is higher, and the noise may seriously interfere with the signal at the current sampling time.

[0024] Understandably, calculating the rate of change of interference in the target signal includes calculating the Doppler frequency shift; Using the signal from the previous sampling time adjacent to the sampling time of the target signal as the reference signal, calculate the instantaneous amplitude of the target signal and the instantaneous amplitude of the reference signal, calculate the absolute difference between the instantaneous amplitude of the target signal and the instantaneous amplitude of the reference signal, use the ratio of the absolute difference to the preset sampling period as the instantaneous change rate, and use the ratio of the instantaneous change rate to the Doppler frequency shift as the interference change rate of the target signal.

[0025] For example, the formula for calculating the rate of change of disturbance is as follows: In the formula middle, for The rate of change of interference in the signal at any given time. for The instantaneous amplitude of the signal at a given moment. for The instantaneous amplitude of the signal at a given moment. For the preset sampling period, At the speed of light, The communication carrier frequency of the repeater (obtained from the network configuration parameters pre-stored in the repeater). The scene characteristic speed (the relative speed between the user and the repeater). It is the reciprocal of the Doppler frequency shift.

[0026] For the formula It should be noted that the calculation of each time step is performed using the Hilbert transform. The instantaneous amplitude refers to the signal's instantaneous amplitude at which the signal... The real-time intensity value at any given moment can intuitively reflect the dynamic changes in signal strength.

[0027] For the formula It should be noted that the characteristic speed varies depending on the scenario. For example, when a user is on a high-speed train, the speed limit is 300 km / h. The corresponding scene feature speed is For example, in a car driven in the city, where the speed limit is 50 km / h... The corresponding scene feature speed is .

[0028] For the formula It should be added that the Doppler shift represents the maximum rate of change of the environment according to theory, which is the limit value determined by physical laws. express The instantaneous rate of change of signal strength increases sharply when interference abruptly occurs (such as a vehicle passing by at high speed); while actual attenuation (building obstruction) typically exhibits a gradual change. By... Divide by This means comparing actual observations with the theoretical limits of the environment to eliminate scene discrepancies. A value greater than 1 indicates that the interference changes too rapidly, such as the interference caused to the signal by the high speed of a high-speed train. A value less than 1 indicates that the interference changes slowly, which is a normal signal attenuation phenomenon. A value of 1 indicates that the rate of change of the disturbance has reached the theoretical maximum rate of change of the environment.

[0029] It should be added that, through the formula This invention provides a unified standard for measuring interference intensity in different scenarios, offering a physically meaningful basic feature for subsequent interference identification and effectively solving the problem of misjudgment caused by scenario differences in traditional methods.

[0030] It is understandable that obtaining the smoothing factor involves: calculating the Doppler frequency shift and using the reciprocal of the Doppler frequency shift as the channel coherence time; and obtaining the smoothing factor by negatively mapping the ratio of the preset sampling period to the channel coherence time using an exponential function.

[0031] For example, the formula for calculating the smoothing factor is as follows: In the formula middle, This is a smoothing factor for the current communication scenario. For the preset sampling period, This is the channel coherence time.

[0032] For the formula It should be noted that the channel coherence time is the reciprocal of the Doppler frequency shift, and the reciprocal of the Doppler frequency shift is... This represents the maximum time window during which the signal characteristics remain stable.

[0033] It is understandable that obtaining the relative mutation intensity of the target signal includes: calculating the interference change rate of the target signal; obtaining a smoothing factor; and using the smoothing factor, calculating the historical benchmark of the interference change rate using an exponentially weighted moving average algorithm; and using the ratio of the interference change rate to the historical benchmark as the relative mutation intensity.

[0034] It should be noted that EWMA (Exponentially Weighted Moving Average) is a commonly used time series smoothing technique, particularly suitable for assigning different weights to historical data. It can better capture the latest trends in data.

[0035] For example, the formula for calculating historical benchmarks is as follows: In the formula middle, for Historical benchmarks for the rate of change of disturbance at any given moment. This is a smoothing factor for the current communication scenario. for Historical benchmarks for the rate of change of disturbance at any given moment. for The rate of change of interference in the signal at any given time.

[0036] For the formula It should be added that, = , The construction is based on the physical law that the correlation of wireless channels naturally decays over time, quantifying the time interval. The strength of the correlation between the post-channel state and the history is dynamically determined by the deployment environment. When When it approaches 1 ( Approaching 0, meaning the sampling time interval is much shorter than the time it takes for the channel to remain stable, the environment changes slowly at this time. Historical benchmarks for the rate of change of disturbance at any given time against historical data It is highly dependent on the current data. Slow response, smooth curve); when When it approaches 0, ( Approaching infinity, with the data acquisition interval much longer than the channel stability time, the environment undergoes drastic changes. In this situation, the algorithm is less dependent on historical data but more sensitive to recent data, resulting in fluctuating curves. This construction enables the algorithm to acquire environmental adaptive memory capabilities. A larger value indicates higher reliability of historical data, and the algorithm focuses more on filtering out short-term fluctuations; The smaller the value, the more dynamic the environment, and the faster the algorithm needs to respond to the latest changes.

[0037] For the formula It should be noted that the magnitude of this benchmark value directly reflects the typical fluctuation intensity of the current scenario.

[0038] For example, the formula for calculating the relative mutation intensity is as follows: In the formula middle, for The relative intensity of the abrupt change in the signal at any given time. for The rate of change of interference in the signal at any given time. for Historical benchmarks for the rate of change of disturbance at any given moment.

[0039] For the formula It should be added that the relative mutation intensity The rate of change of the disturbance at the current moment Environmental historical benchmarks The ratio is constructed based on the physical characteristics of signal fluctuations: the signal variation caused by background noise always remains within the typical fluctuation range of the current environment, while real interference causes the signal variation to significantly exceed the typical fluctuation range of that environment. When it approaches 0, it indicates the current rate of change of the signal. Well below typical environmental fluctuation levels The signal is in a highly stable state; when When the value approaches 1, it indicates that the current signal change rate is basically consistent with the typical fluctuation level of the environment, indicating that the signal is within the normal fluctuation range under the influence of background noise. This state conforms to the natural propagation characteristics of electromagnetic waves in the current environment and belongs to the category of harmless fluctuations; when... A value greater than 1 indicates that the current change exceeds the normal range of the environment and can be identified as a real interference event. This invention transforms absolute changes into relative environmental indicators, enabling interference identification to have environmental adaptability. It eliminates the need to set different thresholds for different scenarios, and can accurately distinguish between instantaneous interference and signal attenuation under various deployment conditions, solving the problem of misjudgment caused by environmental differences in traditional methods.

[0040] For example, the formula for calculating the step scaling factor is as follows: In the formula middle, for The step scaling factor of the signal at any given time. for Noise impact factor at time, for The relative intensity of abrupt changes in the signal at any given time.

[0041] For the formula It should be noted that the step scaling factor... The calculation formula achieves a balance between disturbance response and algorithm stability: This indicates the significance of current signal fluctuations relative to the normal environment. Essentially, it normalizes absolute changes to relative intensity within the environment, making interference in different scenarios comparable. Quantify the degree of threat posed by current noise to stability, when When increased, the formula makes Initially, it grows approximately linearly to accelerate the response, but then... Continue to increase, It possesses inherent stability protection properties, and its value is always less than 1. This allows the algorithm to accelerate convergence without ever exceeding the stability boundary, ensuring sufficient speedup under severe disturbances while automatically compressing and adjusting the amplitude when noise is severe, thus solving the dilemma between speed and stability in the fixed step size scheme.

[0042] For the formula It should be noted that the step scaling factor... and Negative correlation The smaller the value, the lower the degree of influence from noise in the channel at the current sampling time, and the lower the threat level. In this case, the step size scaling factor can be larger. The larger the value, the higher the degree of influence of noise in the channel at the current sampling time. Noise may seriously interfere with the signal at the current sampling time. In this case, the step size scaling factor can be smaller to achieve more precise interference suppression and clean signal generation.

[0043] It is understandable that the reference step size for obtaining the target signal includes: calculating the average signal power of the subsequence; and using the ratio of 2 to the average signal power as the reference step size.

[0044] For example, the formula for calculating the adjustment step size is as follows: In the formula middle, for The adjustment step size of the time signal, for The reference step size of the time signal. for The step scaling factor of the time signal.

[0045] For the formula It should be added that, , This represents the average signal power of the subsequence. Reference step size. The scaling factor is the maximum safe value allowed for the current signal strength. This represents the step size requirement for the disturbance response. Multiplying the two ensures that the step size can increase with the increase of disturbance while always being constrained by noise, ensuring that the speed is fully increased within the critical response window without ever exceeding the limit, thus achieving a balance between speed and stability.

[0046] Step S2: Output the signal monitoring results based on the error sequence.

[0047] It is understandable that the monitoring results of the output signal based on the error sequence include: counting the number of consecutive errors in the error sequence that are greater than the first preset threshold; in response to the number of consecutive errors being greater than the second preset threshold, taking the actual attenuation of the wireless communication signal as the monitoring result; and in response to the number of consecutive errors not being greater than the second preset threshold, taking the instantaneous interference of the wireless communication signal as the monitoring result.

[0048] It should be noted that the first and second preset thresholds are set according to the scenario.

[0049] It should be noted that the signal at the current moment in the signal time series corresponds to the error signal at the next moment.

[0050] It should be further explained that if the number of consecutive interferences is not greater than the second preset threshold, it indicates that the error has stabilized after a short-term abrupt change. In this case, there is transient interference, and the repeater maintains the signal path to ensure communication continuity. If the number of consecutive interferences is greater than the second preset threshold, it indicates that the error persists, and there is actual attenuation. In this case, the repeater safely releases network resources. Compared to traditional repeaters that misjudge transient interference as actual attenuation and stop forwarding, leading to problems such as video stuttering and connection interruptions perceived by users, this invention reduces the probability of misjudgment by the repeater through dynamic step size, thereby improving the user experience.

[0051] It should be noted that transient interference, such as interference from multiple base stations operating on the same frequency or obstruction by moving objects, and actual attenuation, such as path loss or building obstruction, are considered.

[0052] It should be further explained that the repeater applies the LMS algorithm to the filter module so that the filter module can output a clean signal after interference is eliminated. The application process can be summarized as follows: receive the input signal at the current moment, calculate the output signal according to the current weight of the filter module, calculate the error signal between the output signal and the expected signal, update the current weight according to the error signal, the input signal and the step size, receive the signal at the next moment, and iterate the above process of obtaining the output signal according to the updated weight.

[0053] The present invention also provides a communication signal monitoring system for an intelligent repeater. The system includes a processor and a memory, the memory storing computer program instructions. When the computer program instructions are executed by the processor, they implement a communication signal monitoring method for an intelligent repeater according to the first aspect of the present invention. The system also includes other components well-known to those skilled in the art, such as a communication bus and a communication interface; their configuration and functions are known in the art and therefore will not be described further here.

[0054] It should be noted that the preferred embodiments of this application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of this application. For those skilled in the art, various modifications and improvements can be made without departing from the concept of the invention, and these all fall within the protection scope of the invention. Therefore, the protection scope of this patent should be determined by the appended claims.

Claims

1. A method for monitoring communication signals of an intelligent repeater, characterized in that, include: The signal time series of wireless communication signals is collected during a preset sampling period. Any signal in the signal time series is taken as the target signal. The adjustment step size of the target signal is calculated. The weights of the filter modules in the repeater are updated according to the adjustment step size. The error signal is output by the filter modules with updated weights to construct an error sequence. One signal in the signal time series corresponds to one error signal. The signal monitoring results are output based on the error sequence; The method for calculating the adjustment step size is as follows: Using the target signal as the right boundary in the signal time series generation window, all signals within the window are taken as subsequences. The noise influence coefficient of the subsequence is calculated, the relative abrupt change intensity of the target signal is calculated, and the sum of the reciprocal of the relative abrupt change intensity and the noise influence coefficient is taken as the reciprocal of the step size scaling factor to obtain the reference step size of the target signal. The product of the reference step size and the step size scaling factor is taken as the adjustment step size.

2. The communication signal monitoring method for an intelligent repeater according to claim 1, characterized in that, The noise impact coefficient of the subsequences within the calculation window includes: Calculate the average noise power and average signal power of the subsequence; The ratio of the average noise power to the average signal power is used as the noise influence coefficient.

3. The communication signal monitoring method for an intelligent repeater according to claim 1, characterized in that, The relative abrupt change intensity of the target signal is obtained by: Calculate the rate of change of interference in the target signal; Obtain a smoothing factor, and based on the smoothing factor, use an exponentially weighted moving average algorithm to calculate the historical benchmark of the disturbance change rate; The ratio of the rate of change of the disturbance to the historical baseline is used as the relative mutation intensity.

4. The communication signal monitoring method for an intelligent repeater according to claim 3, characterized in that, Calculating the rate of change of interference in the target signal includes: Calculate the Doppler frequency shift; Using the signal from the previous sampling time adjacent to the sampling time of the target signal as a reference signal, calculate the instantaneous amplitude of the target signal and the instantaneous amplitude of the reference signal, calculate the absolute difference between the instantaneous amplitude of the target signal and the instantaneous amplitude of the reference signal, use the ratio of the absolute difference to the preset sampling period as the instantaneous change rate, and use the ratio of the instantaneous change rate to the Doppler frequency shift as the interference change rate of the target signal.

5. The communication signal monitoring method for an intelligent repeater according to claim 3, characterized in that, Obtaining the smoothing factor includes: Calculate the Doppler frequency shift and use the reciprocal of the Doppler frequency shift as the channel coherence time; A smoothing factor is obtained by negatively mapping the ratio of the preset sampling period to the channel coherence time using an exponential function.

6. The communication signal monitoring method for an intelligent repeater according to claim 1, characterized in that, The reference step size for acquiring the target signal includes: Calculate the average signal power of the subsequence; The ratio of 2 to the average signal power is used as the reference step size.

7. The communication signal monitoring method for an intelligent repeater according to claim 1, characterized in that, The monitoring results of the output signal based on the error sequence include: Count the number of consecutive errors greater than a first preset threshold in the error sequence; In response to the number of consecutive occurrences exceeding a second preset threshold, the actual attenuation of the wireless communication signal is taken as the monitoring result. In response to the consecutive number not exceeding a second preset threshold, the presence of transient interference in the wireless communication signal is taken as a monitoring result.

8. A communication signal monitoring system for an intelligent repeater, characterized in that, include: A processor and a memory, wherein the memory stores computer program instructions that, when executed by the processor, implement a communication signal monitoring method for an intelligent repeater according to any one of claims 1-7.

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