CN114611542A

CN114611542A - Signal noise reduction processing method and communication device

Info

Publication number: CN114611542A
Application number: CN202011340826.4A
Authority: CN
Inventors: 杨昉; 孙士渊; 王琪
Original assignee: Tsinghua University; Huawei Technologies Co Ltd
Current assignee: Tsinghua University; Huawei Technologies Co Ltd
Priority date: 2020-11-25
Filing date: 2020-11-25
Publication date: 2022-06-10

Abstract

The application provides a signal processing method and a signal processing device, wherein the signal processing method comprises the following steps: obtaining a signal segment containing impulse noise, the signal segment comprising N₀A sampling point, N₀Is an integer greater than or equal to 1; calculating a signal-to-interference-and-noise ratio corresponding to the signal segment, and determining a first noise reduction parameter corresponding to the signal segment according to the signal-to-interference-and-noise ratio; from said N₀And determining at least one sampling point with the amplitude larger than the first noise reduction parameter in the sampling points, and performing noise reduction processing on the amplitude of the at least one sampling point. By adopting the method and the device, the noise reduction performance can be improved.

Description

Signal noise reduction processing method and communication device

Technical Field

The present application relates to the field of communications technologies, and in particular, to a signal noise reduction processing method and a communication apparatus.

Background

With the development of scientific technology and the progress of living standard, people have higher and higher requirements on communication speed and communication quality. Power line communication is one of communication technologies, which uses a power line to transmit signals. The power line is a complicated transmission medium line, and the communication channel is relatively poor. In a power line communication system, various noises are included, such as periodic impulse noise, white gaussian noise, colored background noise and power frequency noise. The impulse noise has the greatest influence on the communication quality of the power line communication system, thereby reducing the transmission speed and deteriorating the synchronization performance of the receiving end.

The existing method for reducing noise of pulse noise in signals mainly comprises a zero setting method, namely a threshold value is set, the amplitude of a sampling point exceeding the threshold value is directly set to zero, the selection of the threshold value is directly related to the noise reduction effect, a threshold value is uniformly set according to experience at present, and the noise reduction performance of the method is poor.

Disclosure of Invention

The embodiment of the application provides a signal noise reduction processing method and a communication device, which can set a first noise reduction parameter corresponding to a signal segment in a targeted manner, so that the noise reduction performance is improved.

In a first aspect, embodiments of the present application provide a signal noise reduction processing method, which may be performed by a power line communication device, and may also be performed by a component (e.g., a processor, a chip, or a system-on-chip) of the power line communication device. The signal noise reduction processing method may include: obtaining a signal segment containing impulse noise, the signal segment may include N₀A sampling point, N₀Is an integer greater than or equal to 1. Further, calculating a signal-to-interference-and-noise ratio corresponding to the signal segment, and determining a first noise reduction parameter corresponding to the signal segment according to the signal-to-interference-and-noise ratio.

After determining the first noise reduction parameter corresponding to the signal segment, from the N₀And determining at least one sampling point with the amplitude larger than the first noise reduction parameter in the sampling points, and performing noise reduction processing on the amplitude of the at least one sampling point.

By implementing the embodiment of the application, the signal segment pair can be determined according to the signal-to-interference-and-noise ratio corresponding to the signal segmentCorresponding first noise reduction parameter, and N contained in signal segment₀And determining at least one sampling point with the amplitude larger than the first noise reduction parameter in the sampling points, and performing noise reduction processing on the amplitude of the at least one sampling point, so that the first noise reduction parameter is set in a targeted manner, and the noise reduction performance is improved.

In a possible implementation manner, in the embodiment of the present application, the noise reduction processing may be performed on the amplitude of at least one sampling point by, for each of the at least one sampling point, starting from the N₀And acquiring a first sampling point and a second sampling point which are related to the sampling point from the sampling points, wherein the first sampling point is a sampling point which is before the sampling point and is closest to the sampling point and is smaller than the first noise reduction parameter. The second sampling point is a sampling point which is behind the sampling point and is closest to the sampling point and is smaller than the first noise reduction parameter.

Further, the first amplitude is obtained according to the amplitude of the first sampling point and the amplitude of the second sampling point, and for example, the first amplitude may be calculated by an interpolation method according to the amplitude of the first sampling point and the amplitude of the second sampling point. Interpolation methods include, but are not limited to, linear interpolation methods or higher order interpolation methods.

The amplitude of the sample point is updated to the calculated first amplitude.

By implementing the embodiment, the updated first amplitude of the sampling point can be calculated according to the amplitude of the first sampling point which is before the sampling point and is closest to the sampling point and smaller than the first noise reduction parameter, and the amplitude of the second sampling point which is after the sampling point and is closest to the sampling point and smaller than the first noise reduction parameter, so that the elimination of impulse noise can be better completed, and the noise reduction performance can be improved.

In a possible implementation manner, in the embodiment of the present application, a manner of acquiring a signal segment containing impulse noise may be to acquire a signal to be processed, where the signal to be processed includes N sampling points, where N is greater than or equal to N₀An integer of (d); acquiring a continuous preset number of sampling points from each sampling point in the n sampling points;for example, a sliding window manner may be adopted to obtain a preset number of sampling points, and calculate an average power of the preset number of sampling points, and use the average power as the sliding window energy corresponding to the sampling points.

Acquiring sliding window energy corresponding to each sampling point in N sampling points, taking the sampling point with the sliding window energy larger than a first threshold value as an initial sampling point, and acquiring continuous N starting from the initial sampling point₀Sampling points; will be N₀And determining the signal segment consisting of the sampling points as the signal segment containing the impulse noise.

By implementing the embodiment, the signal with relatively large occasional amplitude change in the effective signal can be prevented from being determined as containing impulse noise, so that the signal segment containing the impulse noise can be accurately acquired.

In a possible implementation manner, in the embodiment of the present application, the signal to interference plus noise ratio corresponding to the signal segment may be calculated by obtaining a feature quantity corresponding to the signal segment, where the feature quantity is used to represent a statistical feature of the signal segment. Further, the signal-to-interference-and-noise ratio of the signal segment is calculated according to the characteristic quantity corresponding to the signal segment.

By implementing the embodiment, the signal-to-interference-and-noise ratio of the signal segment can be conveniently and quickly calculated according to the characteristic quantity corresponding to the signal segment.

In a possible implementation manner, according to the feature quantity corresponding to the signal segment, the signal to interference plus noise ratio of the signal segment may be calculated by obtaining a first linear relationship that is satisfied between the feature quantity corresponding to the signal segment and the signal to interference plus noise ratio, and further calculating the signal to interference plus noise ratio of the signal segment according to the feature quantity corresponding to the signal segment and the first linear relationship.

By implementing the embodiment, the signal-to-interference-and-noise ratio of the signal segment can be quickly and accurately obtained according to the first linear relation which is satisfied between the characteristic quantity corresponding to the signal segment and the signal-to-interference-and-noise ratio.

In one possible implementation, the feature quantity corresponding to the signal segment may be one or more of the following information: the average amplitude of the signal segments, the average power of the signal segments, the variance of the amplitudes of the signal segments, and the maximum of the amplitudes of the signal segments.

In a possible implementation manner, the first noise reduction parameter corresponding to the signal segment may be determined according to the signal to interference plus noise ratio, where if the signal to interference plus noise ratio is smaller than the second threshold, the first set value is determined as the first noise reduction parameter corresponding to the signal segment, that is, when the interfering impulse noise is relatively strong, the relatively small first noise reduction parameter may be set, so as to achieve a relatively good noise reduction function.

And if the signal to interference plus noise ratio is greater than or equal to a second threshold, acquiring a second linear relation which is satisfied between the signal to interference plus noise ratio and the first noise reduction parameter, and calculating the first noise reduction parameter corresponding to the signal segment according to the signal to interference plus noise ratio and the second linear relation.

By implementing the embodiment, the first noise reduction parameter can be set according to the size of the signal to interference plus noise ratio in a targeted manner, and the noise reduction performance is improved.

In one possible implementation, the noise-reduced signal segment is further obtained.

And if the signal frame included in the signal segment is of a first frame structure, performing synchronization processing on the signal segment after noise reduction processing by adopting a time-frequency joint synchronization algorithm, wherein a synchronization head of the first frame structure comprises a preset number of preset sequences. For example, the sync header of the first frame structure includes 7 known repeated sequences therein.

And if the signal frame included in the signal segment is not the first frame structure, performing synchronous processing on the signal segment after the noise reduction processing by adopting a time domain autocorrelation algorithm.

By implementing the embodiment, the signal segments after noise reduction can be further subjected to synchronization processing, and the synchronization performance is improved.

In a second aspect, an embodiment of the present application provides a communication apparatus, which may be a power line communication device, and may also be a component (e.g., a processor, a chip, or a chip system, etc.) of the power line communication device, and the communication apparatus may include an obtaining module, a calculating module, and a noise reduction module, where:

an acquisition module for acquiring a content containingSignal segment of impulse noise, said signal segment comprising N₀A sampling point, N₀Is an integer greater than or equal to 1;

the calculation module is used for calculating the signal-to-interference-and-noise ratio corresponding to the signal segment and determining a first noise reduction parameter corresponding to the signal segment according to the signal-to-interference-and-noise ratio;

a noise reduction module for reducing noise from the N₀And determining at least one sampling point with the amplitude larger than the first noise reduction parameter in the sampling points, and performing noise reduction processing on the amplitude of the at least one sampling point.

In one possible implementation, the noise reduction module is specifically configured to:

for each of the at least one sample point, from the N₀Acquiring a first sampling point and a second sampling point which are associated with the sampling points, wherein the first sampling point is a sampling point which is before the sampling points and is closest to the sampling points and is smaller than the first noise reduction parameter, and the second sampling point is a sampling point which is after the sampling points and is closest to the sampling points and is smaller than the first noise reduction parameter;

obtaining a first amplitude according to the amplitude of the first sampling point and the amplitude of the second sampling point;

and updating the amplitude of the sampling point to the first amplitude.

In a possible implementation manner, the obtaining module is specifically configured to:

acquiring a signal to be processed, wherein the signal to be processed comprises N sampling points, and N is greater than or equal to N₀An integer of (d);

for each sampling point in the n sampling points, acquiring a continuous preset number of sampling points from the sampling point;

calculating the average power of the sampling points with the preset number, and taking the average power as the sliding window energy corresponding to the sampling points;

obtaining the sliding window energy corresponding to each sampling point in the n sampling points, and enabling the sliding window energy to be larger than the first sliding window energyTaking the sampling point of the threshold as an initial sampling point, and acquiring continuous N starting from the initial sampling point₀Sampling points;

the N is₀And determining the signal segment consisting of the sampling points as the signal segment containing the impulse noise.

In a possible implementation manner, the calculation module is specifically configured to:

acquiring a characteristic quantity corresponding to the signal segment, wherein the characteristic quantity is used for representing the statistical characteristic of the signal segment;

and calculating the signal-to-interference-and-noise ratio of the signal segment according to the characteristic quantity corresponding to the signal segment.

acquiring a first linear relation which is satisfied between the characteristic quantity corresponding to the signal segment and the signal-to-interference-and-noise ratio;

and calculating the signal-to-interference-and-noise ratio of the signal segment according to the characteristic quantity corresponding to the signal segment and the first linear relation.

In one possible implementation, the characteristic quantity includes one or more of the following information: the average amplitude of the signal segments, the average power of the signal segments, the variance of the amplitudes of the signal segments, and the maximum of the amplitudes of the signal segments.

if the signal to interference plus noise ratio is smaller than a second threshold value, determining a first set value as a first noise reduction parameter corresponding to the signal segment;

and if the SINR is greater than or equal to the second threshold, acquiring a second linear relation which is satisfied between the SINR and the first noise reduction parameter, and calculating a first noise reduction parameter corresponding to the signal segment according to the SINR and the second linear relation.

In one possible implementation, the apparatus further includes:

the synchronization module is used for acquiring the signal segment after the noise reduction processing; if the signal frame included in the signal segment is a first frame structure, performing synchronous processing on the signal segment after the noise reduction processing by adopting a time-frequency joint synchronous algorithm, wherein a synchronous head of the first frame structure comprises a preset number of preset sequences; and if the signal frame included in the signal segment is not the first frame structure, performing synchronous processing on the signal segment after the noise reduction processing by adopting a time domain autocorrelation algorithm.

In a third aspect, an embodiment of the present application provides a communication apparatus, including a processor. The processor is coupled to the memory and is operable to execute instructions in the memory to implement the method of the first aspect. Optionally, the communication device further comprises a memory. Optionally, the communication device further comprises a communication interface, the processor being coupled to the communication interface.

In a fourth aspect, an embodiment of the present application provides a processor, including: input circuit, output circuit and processing circuit. The processing circuitry is configured to receive signals via the input circuitry and to transmit signals via the output circuitry such that the processor performs the method of the first aspect.

In a specific implementation process, the processor may be one or more chips, the input circuit may be an input pin, the output circuit may be an output pin, and the processing circuit may be a transistor, a gate circuit, a flip-flop, various logic circuits, and the like. The input signal received by the input circuit may be received and input by, for example and without limitation, a receiver, the signal output by the output circuit may be output to and transmitted by a transmitter, for example and without limitation, and the input circuit and the output circuit may be the same circuit that functions as the input circuit and the output circuit, respectively, at different times. The embodiment of the present application does not limit the specific implementation manner of the processor and various circuits.

In a fifth aspect, an embodiment of the present application provides a processing apparatus, which includes a processor and a memory. The processor is adapted to read instructions stored in the memory and to receive signals via the receiver and transmit signals via the transmitter to perform the method of the first aspect.

Optionally, the number of the processors is one or more, and the number of the memories is one or more.

Alternatively, the memory may be integral to the processor or provided separately from the processor.

In a specific implementation process, the memory may be a non-transient memory, such as a Read Only Memory (ROM), which may be integrated on the same chip as the processor, or may be separately disposed on different chips.

The processing means in the above fifth aspect may be one or more chips. The processor in the processing device may be implemented by hardware or may be implemented by software. When implemented in hardware, the processor may be a logic circuit, an integrated circuit, or the like; when implemented in software, the processor may be a general-purpose processor implemented by reading software code stored in a memory, which may be integrated with the processor, located external to the processor, or stand-alone.

In a sixth aspect, an embodiment of the present application provides a computer program product, where the computer program product includes: a computer program (which may also be referred to as code, or instructions), which when executed, causes a computer to perform the method of the first aspect described above.

In a seventh aspect, this application provides a readable storage medium storing a computer program (which may also be referred to as code or instructions) which, when executed on a computer, causes the method of the first aspect to be implemented.

In an eighth aspect, a chip system is provided, which comprises a processor and an interface circuit, wherein the processor is used to call and execute a computer program (also referred to as code or instructions) stored in a memory to realize the functions of the first aspect, and in a possible design, the chip system further comprises a memory for storing necessary program instructions and data. The chip system may be formed by a chip, or may include a chip and other discrete devices.

Drawings

Fig. 1 is a schematic diagram of a received signal provided herein;

FIG. 2 is a simulation graph of SINR after noise reduction according to noise reduction parameters provided in the present application;

fig. 3 is a schematic flow chart of a signal noise reduction processing method provided in the present application;

FIG. 4 is a schematic diagram of the energy variation of the received signal provided by the present application;

FIG. 5 is an energy law curve after low pass filtering as provided herein;

FIG. 6 is a schematic diagram illustrating noise reduction of linear interpolation provided herein;

FIG. 7 is a schematic diagram of another signal noise reduction processing method provided by the present application;

FIG. 8 is a schematic diagram of a lookup table provided herein;

FIG. 9 is a schematic diagram of a correlation curve provided herein;

FIG. 10 is a schematic illustration of a method of determining a rising edge provided herein;

FIG. 11 is a schematic diagram of a simulation of a timing error provided herein;

fig. 12 is a schematic diagram of a signal noise reduction processing method provided in the present application;

FIG. 13 is a schematic block diagram of a communication device provided herein;

fig. 14 is a schematic block diagram of another communication device provided by an embodiment of the present application;

fig. 15 is a schematic structural diagram of a chip according to an embodiment of the present application.

Detailed Description

The following introduces a process of obtaining a first linear relationship and a second linear relationship through simulation in the present application, where the first linear relationship is a relationship that is satisfied between a feature quantity corresponding to a signal segment and a signal-to-interference-and-noise ratio corresponding to the signal segment, and the second linear relationship is a relationship that is satisfied between a signal-to-interference-and-noise ratio corresponding to the signal segment and a first noise reduction parameter corresponding to the signal segment. The first noise reduction parameter corresponding to the signal segment may be an optimal noise reduction parameter corresponding to the signal segment.

For convenience of description, in the following embodiments, SINR before noise reduction of signal segments is expressed as

SINR after noise reduction of the signal segment is represented as SINR.

(1) The transmitting end transmits a signal containing a known sequence, and impulse noise is added after the signal passes through a channel.

(2) The receiving end receives the signal, as shown in fig. 1, which is a schematic diagram of the received signal, as shown in fig. 1, when the pulse arrives, the signal is interfered within a small duration, and when there is no additional impulse noise, the signal is relatively stable, i.e., when there is no impulse noise, noise reduction may not be needed.

In the embodiment of the present application, an Orthogonal Frequency Division Multiplexing (OFDM), that is, an OFDM time domain signal is taken as an example, a time domain characteristic of the OFDM time domain signal is according to a 3- σ principle, and a probability that an amplitude s [ n ] is outside an amplitude ± 3 is very low, so that a first threshold may be set to be 3.5 or 4, and when an amplitude of a sampling point at a certain time is greater than the first threshold, it is very likely that impulse interference arrives. On the other hand, in consideration of the small probability, the amplitude of the effective signal may be greater than the first threshold at some time, so that the average power of some consecutive sampling points may be continuously obtained, and if the average power is greater than the second threshold, it may be determined that impulse noise arrives. The second threshold may be set to a value greater than 3^ 2.

Further, according to the sample data of the actual impulse noise interference, the duration of each impulse noise is relatively fixed, for example, assuming that the empirical value is 0.4ms, the number of corresponding sampling points is N₀And the noise of a signal segment 0.4ms after the sampling point can be reduced after the impulse noise is judged to arrive.

(3) For each extracted signal segment, because each signal segment contains a known sequence and known impulse noise, the signal-to-interference-and-noise ratio corresponding to each signal segment can be calculated.

(4) And calculating the characteristic quantity corresponding to each signal segment, and completing the multiple regression from the characteristic quantity to the signal-to-interference-and-noise ratio corresponding to the signal segment to obtain a first linear relation which is satisfied between the characteristic quantity corresponding to the signal segment and the signal-to-interference-and-noise ratio corresponding to the signal segment.

Specifically, the OFDM time domain signal obeys N (0,1) gaussian distribution and is considered to be time stationary, so that in terms of signal segments, the amplitude of the variation derived from the impulse interference is changed, for example, the lower the signal to interference and noise ratio, the stronger the impulse interference, the larger the total power of the signal segment, which indicates that there is a correlation between some characteristic quantity of the signal segment and the signal to interference and noise ratio. The method adopts multiple regression to correspond to the signal segments

(Signal to Interference plus Noise Ratio, SINR) was estimated.

Acquiring a plurality of signal segments containing impulse noise, and calculating the corresponding signal segments

For each signal segment, some characteristic quantities of the signal segment are calculated, such as the average amplitude of the signal segment, the average power of the signal segment, the variance of the amplitudes of the signal segment, and the maximum value of the amplitudes of the signal segment. Further completing the multiple regression from the characteristic quantity corresponding to the signal segment to the signal-to-interference-and-noise ratio corresponding to the signal segment to obtain the relation between the characteristic quantity corresponding to the signal segment and the SINR corresponding to the signal segment

Wherein x1, x2, … are characteristic amounts.

For example, the average amplitude x1 of the signal segment is regressed as an example, wherein x1 is represented as follows:

x1 is the received signal fragment { x [0 ]],x[1],…x[N₀-1]Average of the amplitudes of the respective samples in (f).

Average amplitude x1 corresponding to signal segment to SINR corresponding to signal segment

The multiple regression fit relationship is as follows:

the characteristic quantity corresponding to the signal segment and the signal-to-interference-and-noise ratio corresponding to the signal segment satisfy a first linear relationship, and it can be understood that when the superposed impulse noise is different, parameters in the fitting relationship may change.

(5) And further acquiring a second linear relation which is satisfied between the signal to interference plus noise ratio corresponding to the signal segment and the first noise reduction parameter, wherein the first noise reduction parameter is an optimal noise reduction parameter, and the signal to interference plus noise ratio corresponding to the signal segment in the embodiment of the application refers to the signal to interference plus noise ratio of the signal segment before noise reduction processing.

Specifically, further, with respect to the noise reduction parameter T, the best estimate in the probabilistic sense is solved. Assuming a causal response to an impulse disturbance as a deterministic function h (nT)_s) And the amplitude coefficient is eta, the impulse interference of the signal segment is represented as h (nT)_s)×η。

The received signal is subjected to noise reduction processing, wherein values of noise reduction parameters T of the noise reduction processing are different, correspondingly, total power of effective signals after the noise reduction processing is different, namely, noise reduction effects are different, and in the embodiment of the present application, the noise reduction effect can be expressed by SINR after the noise reduction. The noise reduction method may adopt the interpolation method of the present application to perform noise reduction, may also adopt two-stage noise reduction (i.e., zero-set noise reduction), and so on, and the following uses two-stage noise reduction as an example, the total power of the effective signal after noise reduction varies with the noise reduction parameter T, and the total power of the effective signal after noise reduction is expressed as:

where s [ n ] is an Orthogonal Frequency Division Multiplexing (OFDM) time domain signal sampling point, and obeys gaussian distribution:

Q_s[n]the definition of (-T, T) is:

the total power of the impulse interference is expressed as:

where η is a 0 mean gaussian distribution and the variance is determined by the variance of the deterministic function h (nts) and s [ n ].

The { h 1, h 2, …, h N } function characterizes the cluster impulse noise per unit power. η represents the power amplification factor of the pulse.

The SINR after noise reduction is expressed as:

it will be appreciated that the total power of the impulse interference is different when different impulse noise is superimposed, and accordingly, the signal segments correspond to different power levels

Also differently, i.e. of the signal segment before subjecting the signal segment to noise reduction processing

Different, but for a certain impulse noise superimposed, the SINR after noise reduction varies with the variation of the noise reduction parameter T.

Obtaining the noise before different noise reductions according to the theoretical derivation of the model

In the case of (i.e. in the case of superimposing different impulse noises), the simulated variation curve of SINR after noise reduction according to parameter T is as shown in fig. 2, i.e. before different noise reductions

In the case of (1), a variation curve of the SINR after noise reduction with the parameter T.

As shown, the curve represents noise reduction from bottom to top

Under the condition of 0 dB-14 dB, the SINR of the signal segment after noise reduction processing changes with the parameter T, wherein, represents that the SINR is not reduced for a certain signal

In case of optimal noise reduction parameter T^*. Easily obtained according to simulation results, before noise reduction

At lower time, the optimal noise reduction parameter T is caused by great pulse interference in the signal segment^*The SINR after noise reduction is increased by suppressing pulse interference; before noise reduction

At higher times, the pulses within the signal segment are dryWith little disturbance, at which time the optimum noise reduction parameter T^*Gradually increasing, and increasing the SINR after noise reduction by increasing the retention rate of the OFDM signal; before the current noise reduction

Too high, e.g. impulse noise already buried in the effective signal, is practically not detected in the impulse detection phase, and is represented as T in the simulation result^*And (4) the value is very large, and the pulse noise reduction processing is stopped at the moment, namely the noise reduction module is required to stop working.

According to the simulation diagram shown in FIG. 2, the extreme point of the simulation curve is calculated, i.e. before the corresponding noise reduction

Lower theoretical optimal noise reduction parameter T^*. Furthermore, the denoising method can be used for realizing denoising before

And T^*And (5) fitting the correlation. For example, before noise reduction, by the simulation curve shown in FIG. 2

And T^*The fit relationship of the correlation is as follows:

in the embodiment of the application, before noise reduction

For smaller values, a smaller setting value may be set as the optimum noise reduction parameter, as shown in the following figure, i.e., before noise reduction

At different values, the optimal noise reduction parameter T^*The value taking condition of (1):

in this embodiment, before noise reduction of the signal segment

Below-10 dB, the effective signal can be considered to be completely drowned, and the optimal noise reduction parameter T^*Set to a small value of 0.1; otherwise, T satisfies the linear fitting relation.

Referring to fig. 3, a schematic flow chart of a signal denoising processing method according to an embodiment of the present application is shown, and as shown in fig. 3, the method may include: s100, S101, and S102, wherein the execution sequence of S100, S101, and S102 is not limited in this embodiment. As shown in the figure, the signal noise reduction processing method of the embodiment of the present application includes, but is not limited to, the following steps:

s100, acquiring a signal segment containing impulse noise, wherein the signal segment comprises N₀A sampling point, N₀Is an integer greater than or equal to 1;

in one embodiment, a power line communication device acquires a signal to be processed, which may include N sampling points, where N is greater than or equal to N₀Is an integer of (1). The power line communication device includes, but is not limited to, a router, a home gateway, and the like. Optionally, there may be multiple methods for acquiring a signal segment containing impulse noise from the signal to be processed, and two alternative embodiments are described as follows:

in a first alternative, a sampling point on a rising edge is determined from the n sampling points, wherein the amplitude of the sampling point on the rising edge exceeds a certain threshold, the amplitude of the sampling point adjacent to the sampling point on the rising edge is smaller than the threshold before the sampling point on the rising edge, and the amplitude of the sampling point adjacent to the sampling point on the rising edge is larger than the threshold after the sampling point on the rising edge. Optionally, if the signal to be processed is an OFDM time domain signal, the threshold may be set to 3.5 or 4, and when the signal value at a certain time is greater than the threshold, it is likely that impulse interference arrives; on the other hand, in consideration of the small probability, the amplitude of the signal at some time may be larger than the threshold, and therefore, the average power of several consecutive sampling points needs to be measured. If the average power of a plurality of continuous sampling points is larger than another threshold value, the average power can be used as the judgment basis of the arrival of the pulse.

Further, according to the sample data of the actual pulse interference, the duration of each pulse is relatively fixed (assuming that the empirical value is 0.4ms, the corresponding number of sampling points is N₀) Therefore, a signal segment 0.4ms after the sampling point at which the pulse arrives is judged can be used as a signal segment containing impulse noise.

In a second optional mode, a signal to be processed is obtained, where the signal to be processed includes N sampling points, where N is greater than or equal to N₀An integer of (d); aiming at each sampling point in the n sampling points, acquiring a continuous preset number of sampling points from the sampling point; calculating the average power of the sampling points with the preset number, and taking the average power as the sliding window energy corresponding to the sampling points; alternatively, a sliding window method may be employed to observe the received signal. For example, set the window length to 3, slide the window over time, and after each slide, calculate the average power of the signal within the window as the sliding window energy of the starting sample point within the window. Fig. 4 is a schematic diagram of the sliding window energy result obtained by window sliding. The result obtained by the sliding window method is mixed with a lot of high-frequency components, which is not beneficial to determining a decision point, so that the signal can be filtered by a low-pass filter, and the filtered result is obtained. As shown in fig. 5, which is a diagram of the result after low-pass filtering.

Obtaining the sliding window energy corresponding to each sampling point in the N sampling points, taking the sampling point with the sliding window energy larger than a first threshold value as an initial sampling point, and obtaining continuous N from the initial sampling point₀Sampling points; the N is₀And determining the signal segment consisting of the sampling points as the signal segment containing the impulse noise. Continuing with the sliding window example above, if the average power of the signal within the window isGreater than a first threshold, is determined as the pulse arrival time. For example, the first threshold may be set to 2.5, and the rising edge of the curve is determined from the curve shown in fig. 5, i.e., the sliding window energy of the sample point is greater than the first threshold, and the sliding window energy of the sample point before the sample point is less than the first threshold.

After the pulse arrival time of the signal in the window is determined, a signal segment is intercepted after the arrival time according to the average duration of the actual impulse noise, and the signal segment is considered to contain the impulse noise.

S101, calculating a signal to interference plus noise ratio corresponding to the signal segment, and determining a first noise reduction parameter corresponding to the signal segment according to the signal to interference plus noise ratio;

in one embodiment, a feature quantity corresponding to the signal segment is obtained, and the feature quantity is used for representing a statistical feature of the signal segment. Illustratively, the characteristic quantity may include, but is not limited to, one or more of the following information: an average amplitude of a signal segment, an average power of the signal segment, a variance of the amplitude of the signal segment, and a maximum of the amplitude of the signal segment.

And the power line communication equipment further calculates the signal-to-interference-and-noise ratio corresponding to the signal segment according to the characteristic quantity corresponding to the signal segment. Specifically, the characteristic quantity corresponding to the signal segment and the signal to interference plus noise ratio corresponding to the signal segment satisfy a first linear relationship, for example, in the foregoing embodiment, the average amplitude x1 of the signal segment to the signal to interference plus noise ratio corresponding to the signal segment is obtained by a multiple regression method

The following fitting relationship is satisfied, and it is understood that the fitting relationship is only an example of the first linear relationship:

and calculating the signal-to-interference-and-noise ratio corresponding to the signal segment according to the characteristic quantity corresponding to the signal segment.

After obtaining the signal-to-interference-and-noise ratio corresponding to the signal segment, a first noise reduction parameter, i.e., an optimal noise reduction parameter, corresponding to the signal segment may be further determined according to the signal-to-interference-and-noise ratio. In the embodiment of the present application, a second threshold may be set, where a size of the second threshold may depend on a tolerance level of the impulse noise, for example, if the tolerance level of the impulse noise is low, the second threshold may be set to 0dB, or the second threshold may also be set to-10 dB. If the sir is less than the second threshold, it indicates that the valid signal is submerged, the optimal noise reduction parameter may be set to a smaller value, and if the sir is greater than or equal to the second threshold, the sir corresponding to the optimal noise reduction parameter and the signal segment satisfies the second linear relationship.

For example, in the foregoing embodiment, the optimum noise reduction parameter T is obtained^*The value taking situation is as follows:

in the embodiment of the application, the scope of the signal to interference plus noise ratio corresponding to the signal segment is determined, so as to determine a first noise reduction parameter corresponding to the signal segment, that is, an optimal noise reduction parameter. For example, if the signal-to-interference-and-noise ratio corresponding to the signal segment is less than-10 dB, 0.1 may be set as the first noise reduction parameter corresponding to the signal segment. If the signal-to-interference-and-noise ratio corresponding to the signal segment is a value greater than or equal to-10 dB, the signal segment can pass through

And calculating to obtain a first noise reduction parameter corresponding to the signal segment.

S102, from N₀And determining at least one sampling point with the amplitude larger than the first noise reduction parameter in the sampling points, and performing noise reduction processing on the amplitude of the at least one sampling point.

In one embodiment, the powerline communication device is selected from the N₀Determining at least one of the sampling points for which the magnitude is greater than the first noise reduction parameterFrom which N may be taken as each sample point₀A first sample point and a second sample point associated with the sample point are obtained from the plurality of sample points. The first sampling point is a sampling point which is before the sampling point and is closest to the sampling point and is less than the first noise reduction parameter, and the second sampling point is a sampling point which is after the sampling point and is closest to the sampling point and is less than the first noise reduction parameter. As shown in fig. 6, the magnitude of the sample point n-1 is larger than the first noise reduction parameter, and a first sample point n-2 associated with the sample point n-1 and a second sample point n associated with the sample point n-1 are obtained. It is understood that if the amplitude of the sampling point n-2 is also greater than or equal to the first noise reduction parameter, it may be determined whether the amplitude of the sampling point n-3 is less than the first noise reduction parameter, and if the amplitude of the sampling point n-3 is less than the first noise reduction parameter, the sampling point n-3 is determined as the first sampling point associated with the sampling point n-1. If the amplitude of the sampling point n-3 is also larger than or equal to the first noise reduction parameter, whether the amplitude of the sampling point n-4 is smaller than the first noise reduction parameter can be judged, and the like, until the sampling point which is in front of the sampling point n-1 and has the amplitude smaller than the first noise reduction parameter is obtained and is taken as the first sampling point. Similarly, if the amplitude of the sampling point n is also greater than or equal to the first noise reduction parameter, it may be determined whether the amplitude of the sampling point n +1 is less than the first noise reduction parameter, and so on, until the sampling point with the amplitude less than the first noise reduction parameter after the sampling point n-1 is obtained as the second sampling point.

And obtaining a first amplitude value according to the amplitude value of the first sampling point and the amplitude value of the second sampling point. Optionally, an interpolation method may be adopted, the first amplitude value is calculated according to the amplitude value of the first sampling point and the amplitude value of the second sampling point, and the amplitude value of the sampling point is updated to the first amplitude value. In the embodiment of the present application, the interpolation method may include, but is not limited to, linear interpolation or high-order interpolation. As shown in fig. 6, the updated amplitude of the sampling point n-1 is obtained by a linear interpolation method.

In the embodiment of the application, the amplitude of the sampling point exceeding the first noise reduction parameter is updated by adopting an interpolation method instead of being reset to zero violently, so that more effective signals can be reserved, and the noise reduction performance is improved.

Referring to fig. 7, a flow chart of another signal noise reduction processing method according to the embodiment of the present application is shown, where the signal noise reduction processing method includes, but is not limited to, the following steps:

s200, acquiring a signal segment containing impulse noise, wherein the signal segment comprises N₀A sampling point, N₀Is an integer greater than or equal to 1;

s201, calculating a signal-to-interference-and-noise ratio corresponding to the signal segment, and determining a first noise reduction parameter corresponding to the signal segment according to the signal-to-interference-and-noise ratio;

s202, from the N₀And determining at least one sampling point with the amplitude larger than the first noise reduction parameter in the sampling points, and performing noise reduction processing on the amplitude of the at least one sampling point.

Referring to steps S100 to S102 in the embodiment shown in fig. 3, steps S200 to S202 in the embodiment of the present application are not described herein again.

S203, acquiring the signal segment after the noise reduction;

s204, if the signal frame included in the signal segment is a first frame structure, performing synchronous processing on the signal segment after noise reduction processing by adopting a time-frequency joint synchronous algorithm, wherein a synchronous head of the first frame structure comprises a preset number of preset sequences;

s205, if the signal frame included in the signal segment is not the first frame structure, a time domain autocorrelation algorithm is adopted to perform synchronous processing on the signal segment after the noise reduction processing.

In one embodiment, different synchronization algorithms may be used to perform synchronization processing on the noise-reduced signal segment according to different frame structures of signal frames included in the noise-reduced signal segment. And aiming at the signal frames included in the signal segments with the standard frame structure, namely the signal frames included in the signal segments with the first frame structure, the signal segments after the noise reduction processing can be subjected to synchronization processing by adopting a time-frequency joint synchronization algorithm. Alternatively, the first frame structure may be a sync header comprising 7 known sequences S1, and an S1 symbol length is 256 samples. The first frame structure may be an International Telecommunications Union (ITU) frame structure.

The time-frequency joint synchronization algorithm is introduced as follows: firstly, the originating generates a lookup table in the frequency domain, selects a sliding window with a length of 1024, which is exactly the length of 4S 1, and slides backwards from the head of the first S1 point by point, and retains the index and data corresponding to each sliding as the lookup table, as shown in fig. 8, which is a schematic diagram of the lookup table.

When the receiving end firstly performs coarse timing, sliding calculates the correlation values of two adjacent data blocks of the length S1 to obtain a correlation curve, as shown in fig. 9, which may be a schematic diagram of the correlation curve. The part of the curve that rises suddenly can be considered as the process of the first S1 arrival, a threshold is set, for example, the autocorrelation result is equal to 0.8, the decision point of the rising edge is captured, and the discrete time is assumed to be n₀. Since the decision occurs on the rising edge of the correlation curve, n₀Considered to be within the first short sequence.

Then fine synchronization is performed in the frequency domain. As shown in fig. 10, with n₀Continuously selecting 1024 sampling points for the starting point, converting to the frequency domain through FFT, making the total energy identical to that in the lookup table through scaling conversion, comparing the geometric distances between items, selecting the nearest item, wherein the corresponding index in the lookup table is n₀Representative time offset. Correcting n using the time offset₀Thus, the correct frame synchronization result can be obtained.

If the signal frame included in the signal segment is not the first frame structure, i.e. is a non-standard frame, the signal segment after the noise reduction processing may be synchronously processed by using a time domain autocorrelation algorithm.

After the noise reduction method of the embodiment of the present application is adopted to reduce the noise of the impulse noise contained in the signal segment, the synchronization processing is performed, so that the synchronization error can be reduced, as shown in fig. 11, that is, the synchronization timing error after the noise reduction by adopting the method of the present application and the synchronization timing error without noise reduction are obtained, and as can be seen, the synchronization timing error after the noise reduction by adopting the method of the present application is far smaller than the synchronization timing error under the condition without noise reduction.

As shown in fig. 12, a schematic flow chart of a signal noise reduction processing method provided in the present application is shown, and as shown in the figure, the method includes, but is not limited to, the following steps:

and S300, calculating the energy of the local area by a sliding window method, and judging the pulse according to whether the energy exceeds a set threshold value. If the pulse is detected, adding a rectangular window, extracting signal segments, executing the step S301, if the pulse is not detected, not performing noise reduction, and performing synchronization processing by adopting a time-frequency joint synchronization algorithm according to a standard ITU structure;

s301, fitting from the characteristic quantity of the signal segment to the noise reduction parameter is completed by using a fitting curve obtained by multiple regression, so that the optimal noise reduction parameter is obtained;

s302, for the sampling points with the amplitude values exceeding the optimal noise reduction parameters, a linear interpolation method is adopted to recover the signal segments, namely noise reduction processing is carried out, and if the sampling points are of a standard ITU structure, a time-frequency joint synchronization algorithm is adopted to carry out synchronization processing.

It is understood that the specific description of fig. 12 may refer to the description of the foregoing embodiments, and will not be repeated herein.

The method provided by the embodiment of the present application is described in detail above with reference to fig. 1 to 12. Hereinafter, the apparatus provided in the embodiment of the present application will be described in detail with reference to fig. 13 to 15.

It is to be understood that, in order to implement the functions in the above-described embodiments, the power line communication apparatus includes a corresponding hardware structure and/or software module that performs each function. Those of skill in the art will readily appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as hardware, software, or combinations of hardware and software. Whether a function is implemented as hardware, software, or computer software drives hardware depends upon the particular application and design constraints imposed on the implementation.

Fig. 13 is a schematic block diagram of a communication device provided in an embodiment of the present application. As shown in fig. 13, the communication apparatus may include an obtaining module 10, a calculating module 11 and a noise reduction module 12, and optionally, the communication apparatus may further include a synchronization module 13. The acquiring module 10, the calculating module 11, the noise reducing module 12 and the synchronizing module 13 may be software, or hardware, or a combination of software and hardware. The various modules are set forth below:

an acquisition module 10 for acquiring a signal segment containing impulse noise, said signal segment comprising N₀A sampling point, N₀Is an integer greater than or equal to 1;

a calculating module 11, configured to calculate a signal-to-interference-and-noise ratio corresponding to the signal segment, and determine a first noise reduction parameter corresponding to the signal segment according to the signal-to-interference-and-noise ratio;

a noise reduction module 12 for reducing noise from said N₀And determining at least one sampling point with the amplitude larger than the first noise reduction parameter in the sampling points, and performing noise reduction processing on the amplitude of the at least one sampling point.

In one possible implementation, the noise reduction module 12 is specifically configured to:

and updating the amplitude of the sampling point to the first amplitude.

In a possible implementation manner, the obtaining module 10 is specifically configured to:

acquiring sliding window energy corresponding to each sampling point in the N sampling points, taking the sampling point with the sliding window energy larger than a first threshold value as an initial sampling point, and acquiring continuous N from the initial sampling point₀Sampling points;

In a possible implementation manner, the calculation module 11 is specifically configured to:

In one possible implementation, the apparatus further includes:

a synchronization module 13, configured to obtain the signal segment after the noise reduction processing; if the signal frame included in the signal segment is a standard ITU frame structure, performing synchronous processing on the signal segment after the noise reduction processing by adopting a time-frequency joint synchronous algorithm, wherein a synchronous head of the standard ITU frame structure comprises a preset number of preset sequences; and if the signal frame included in the signal segment is not in a standard ITU frame structure, performing synchronous processing on the signal segment after the noise reduction processing by adopting a time domain autocorrelation algorithm.

Fig. 14 is a schematic structural diagram of a communication device according to an embodiment of the present application. It should be understood that the communication apparatus shown in fig. 14 is only an example, and the communication apparatus of the embodiment of the present application may further include other components, or include components having functions similar to those of the respective components in fig. 14, or not include all the components in fig. 14.

The communication means comprises a communication interface 21 and at least one processor 22.

The communication device may correspond to a power line communication apparatus. The communication interface 21 is used for transmitting and receiving signals, and the at least one processor 22 executes program instructions, so that the communication device implements the corresponding flow of the method performed by the power line communication apparatus in the above method embodiment. Please refer to the description of the foregoing method embodiments, which will not be repeated herein.

For the case that the communication device may be a chip or a system of chips, see the schematic structural diagram of the chip shown in fig. 15. The chip 30 shown in fig. 15 comprises a processor 31 and an interface 32. The number of the processors 31 may be one or more, and the number of the interfaces 32 may be more. It should be noted that the functions corresponding to the processor 31 and the interface 32 may be implemented by hardware design, software design, or a combination of hardware and software, which is not limited herein.

Optionally, the chip may also include a memory 33, the memory 33 being used to store the necessary program instructions and data.

In this application, the processor 31 may be configured to invoke, from the memory, an implementation program of the signal noise reduction processing method provided in one or more embodiments of the present application in the power line communication device, and execute instructions included in the implementation program. The interface 32 may be used to output the results of the execution by the processor 31. In the present application, the interface 32 may be specifically used for outputting each message or information of the processor 31. For the signal noise reduction processing method provided in one or more embodiments of the present application, reference may be made to the foregoing illustrated method embodiments, and details are not repeated here.

The processor in the embodiment of the present application may be a Central Processing Unit (CPU), and the processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

According to the method provided by the embodiment of the present application, the present application further provides a computer program product, which includes: computer program code which, when run on a computer, causes the computer to perform the method in the aforementioned method embodiments.

The embodiment of the application also provides a processing device, which comprises a processor and an interface; the processor is configured to perform the method of any of the above method embodiments.

It should be understood that the processing means may be a chip. For example, the processing device may be a Field Programmable Gate Array (FPGA), a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, a system on chip (SoC), a Central Processing Unit (CPU), a Network Processor (NP), a digital signal processing circuit (DSP), a microcontroller (micro controller unit, MCU), a Programmable Logic Device (PLD) or other integrated chip. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

It will be appreciated that the memory in the embodiments of the subject application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), double data rate SDRAM, enhanced SDRAM, SLDRAM, Synchronous Link DRAM (SLDRAM), and direct rambus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a Digital Video Disk (DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.

As used in this specification, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, or a computer. By way of illustration, both an application running on a computing device and the computing device can be a component. One or more components may reside within a process or thread of execution and a component may be localized on one computer and distributed between 2 or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate by way of local or remote processes such as in accordance with a signal having one or more data packets (e.g., data from two components interacting with another component in a local system, distributed system, or across a network such as the internet with other systems by way of the signal).

It should be appreciated that reference throughout this specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the various embodiments are not necessarily referring to the same embodiment throughout the specification. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

It should be understood that, in the embodiment of the present application, the numbers "first" and "second" … are only used for distinguishing different objects, such as for distinguishing different network devices, and do not limit the scope of the embodiment of the present application, and the embodiment of the present application is not limited thereto.

It should also be understood that, in this application, "when …", "if" and "if" all refer to a network element that performs the corresponding process under certain objective circumstances, and are not time-critical, nor do they require certain deterministic actions to be performed by the network element, nor do they imply that other limitations exist.

It should also be understood that in the embodiments of the present application, "B corresponding to a" means that B is associated with a, from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.

It should also be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B, may represent: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

Items appearing in this application as similar to "include one or more of the following: the meaning of the expressions A, B, and C "generally means that the item may be any of the following, unless otherwise specified: a; b; c; a and B; a and C; b and C; a, B and C; a and A; a, A and A; a, A and B; a, A and C, A, B and B; a, C and C; b and B, B, B and C, C and C; c, C and C, and other combinations of A, B and C. The above description is made by taking 3 elements of a, B and C as examples of optional items of the item, and when the expression "item" includes at least one of the following: a, B, … …, and X ", i.e., there are more elements in the expression, then the entry to which the item can apply can also be obtained according to the aforementioned rules.

It is to be understood that, in the embodiments of the present application, a power line communication device may perform some or all of the steps in the embodiments of the present application, and these steps or operations are merely examples, and the embodiments of the present application may also perform other operations or various modifications of the operations. Further, the various steps may be performed in a different order presented in the embodiments of the application, and not all operations in the embodiments of the application may be performed.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a read-only memory ROM, a random access memory RAM, a magnetic disk, or an optical disk.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method of signal processing, the method comprising:

obtaining a signal segment containing impulse noise, the signal segment comprising N₀A sampling point, N₀Is an integer greater than or equal to 1;

calculating a signal-to-interference-and-noise ratio corresponding to the signal segment, and determining a first noise reduction parameter corresponding to the signal segment according to the signal-to-interference-and-noise ratio;

from said N₀And determining at least one sampling point with the amplitude larger than the first noise reduction parameter in the sampling points, and performing noise reduction processing on the amplitude of the at least one sampling point.

2. The method of claim 1, wherein the denoising the amplitude of the at least one sample point comprises:

and updating the amplitude of the sampling point to the first amplitude.

3. The method of claim 1 or 2, wherein said obtaining a signal segment containing impulse noise comprises:

4. The method of claim 1, wherein said calculating the signal-to-interference-and-noise ratio for the signal segment comprises:

5. The method according to claim 4, wherein said calculating the signal-to-interference-and-noise ratio of the signal segment according to the feature quantity corresponding to the signal segment comprises:

6. The method according to claim 4 or 5, characterized in that the characteristic quantity comprises one or more of the following information: the average amplitude of the signal segments, the average power of the signal segments, the variance of the amplitudes of the signal segments, and the maximum of the amplitudes of the signal segments.

7. The method of claim 1, wherein determining a first noise reduction parameter corresponding to the signal segment according to the SINR comprises:

8. The method of any one of claims 1-7, further comprising:

acquiring the signal segment after the noise reduction processing;

if the signal frames included in the signal segments are in a first frame structure, performing synchronization processing on the signal segments after the noise reduction processing by adopting a time-frequency joint synchronization algorithm, wherein the first frame structure comprises a preset number of preset sequences;

9. A communications apparatus, comprising: a processor that, when invoking a computer program or instructions in a memory, performs the method of any of claims 1 to 8.

10. A computer-readable storage medium, comprising a computer program or instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1 to 8.