CN111106842B - Method for eliminating adjacent channel interference, electronic equipment and readable storage medium - Google Patents
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- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
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- H04B1/06—Receivers
- H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
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- H04B17/30—Monitoring; Testing of propagation channels
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- H04B17/345—Interference values
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- H04B17/30—Monitoring; Testing of propagation channels
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- H04B17/3913—Predictive models, e.g. based on neural network models
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- H04B1/06—Receivers
- H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
- H04B1/1027—Means associated with receiver for limiting or suppressing noise or interference assessing signal quality or detecting noise/interference for the received signal
- H04B2001/1045—Adjacent-channel interference
Abstract
The embodiment of the invention relates to the field of wireless communication, and discloses a method for eliminating adjacent channel interference, electronic equipment and a readable storage medium. The invention provides a method for eliminating adjacent channel interference, which comprises the following steps: under the condition that the change of the channel is detected, adjusting an estimation prediction model according to the error between the in-band interference expected signal and the interference elimination signal, wherein the estimation prediction model is used for determining the corresponding relation between the input reference signal and the interference elimination signal; determining an interference elimination signal corresponding to the current reference signal according to the current reference signal and the adjusted estimation prediction model; and eliminating the interference signal in the current channel by using the interference elimination signal to obtain an effective signal of the current channel. The embodiment of the invention can accurately eliminate the interference of the adjacent channel and improve the signal-to-noise ratio of the channel whether the channel changes or not.
Description
Technical Field
The embodiment of the invention relates to the field of wireless communication, in particular to a method for eliminating adjacent channel interference, electronic equipment and a readable storage medium.
Background
With the rapid development of wireless communication technology, more and more wireless-supporting devices, such as WIFI, 4G, bluetooth, etc., are available. Due to limited spectrum resources, these devices often interfere with each other. Signals of adjacent frequency bands leak into the transmission bandwidth of the local channel, and interference caused to the transmission of the local channel signal is called adjacent channel interference.
Fig. 1 is a schematic diagram of adjacent channel interference, wherein a dotted line in fig. 1 indicates adjacent channel interference, and it can be seen from fig. 1 that the adjacent channel interference exists not only outside the local channel band but also in the local channel band. The conventional method for eliminating adjacent channel interference at present usually employs a band-pass filter to filter the input signal received by the channel. However, this approach can only eliminate out-of-band interference signals, but is ineffective for interfering signals that leak into the passband.
The inventor finds that at least the following problems exist in the prior art: in order to eliminate the interference signals in the passband, at present, an artificial reference signal is usually applied to an adjacent channel, the leaked interference signals are measured at a target channel, a model for estimating the interference signals is obtained by calculating the relationship between the leaked interference signals and the reference signal, and the reference signals are usually applied to adjacent channels only in a short period of time in a model training phase to estimate the in-band interference signals.
Disclosure of Invention
An object of embodiments of the present invention is to provide a method, an electronic device, and a readable storage medium for eliminating adjacent channel interference, so that the adjacent channel interference can be accurately eliminated regardless of whether a channel changes, and a signal-to-noise ratio of the channel is improved.
To solve the above technical problem, an embodiment of the present invention provides a method for eliminating adjacent channel interference, including: under the condition that the change of the channel is detected, adjusting an estimation prediction model according to the error between the in-band interference expected signal and the interference elimination signal, wherein the estimation prediction model is used for determining the corresponding relation between the input reference signal and the interference elimination signal; determining an interference elimination signal corresponding to the current reference signal according to the current reference signal and the adjusted estimation prediction model; and eliminating the interference signal in the current channel by using the interference elimination signal to obtain an effective signal of the current channel.
An embodiment of the present invention also provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executable by the at least one processor to enable the at least one processor to perform the method for canceling adjacent channel interference as described above.
Embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which when executed by a processor implements the method for canceling adjacent channel interference described above.
Compared with the prior art, the method and the device have the advantages that the original estimation and prediction model is not suitable for the changed channel any more under the condition that the channel is changed, so that the interference elimination signal determined by the original estimation and prediction model is not accurate any more; and when the embodiment of the invention detects that the channel changes, the estimation prediction model can be automatically readjusted according to the error between the in-band interference expected signal and the interference elimination signal, so that the adjusted estimation prediction model is suitable for the current channel, and the accuracy of the interference elimination signal determined by the adjusted estimation prediction model is ensured, thereby accurately eliminating the interference signal in the current channel, obtaining an effective signal and improving the signal-to-noise ratio of the channel.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Figure 1 is a schematic diagram of adjacent channel interference;
fig. 2 is a detailed flowchart of a method for canceling adjacent channel interference according to a first embodiment of the present invention;
FIG. 3 is a flowchart illustrating the adjustment of the estimation prediction model in the method for eliminating adjacent channel interference according to the first embodiment of the present invention;
fig. 4 is a specific flowchart of a method for canceling adjacent channel interference according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a device corresponding to a method for canceling adjacent channel interference according to a second embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.
A first embodiment of the invention relates to a method of canceling adjacent channel interference. The method for eliminating the adjacent channel interference can be applied to electronic equipment for eliminating the adjacent channel interference, the electronic equipment for eliminating the adjacent channel interference is matched with a signal receiver, and after the signal receiver receives a signal containing the adjacent channel interference, the signal receiver eliminates the adjacent channel interference signal through the electronic equipment for eliminating the adjacent channel interference to obtain an effective signal of a current channel. The specific flow of the method for eliminating adjacent channel interference is shown in fig. 2:
step 101: in the case of a detected channel change, the estimation prediction model is adjusted based on the error between the in-band interference desired signal and the interference cancellation signal.
Specifically, the estimation prediction model is used to determine the correspondence between the input reference signal and the interference cancellation signal. Wherein the reference signal may be a signal artificially set on a neighboring channel of the target channel in advance. Measuring an interference signal existing in a band at a target channel, constructing an estimation prediction model for indicating the corresponding relation between a reference signal and an interference elimination signal on a current channel according to the corresponding relation between the reference signal and the measured in-band interference signal, and using the constructed estimation prediction model as an initial estimation prediction model, wherein the interference elimination signal is a signal output by the estimation prediction model according to the input reference signal.
It is understood that the estimation prediction model may employ a filter structure or a neural network model; for example, a Finite Impulse Response (FIR) filter structure, an Infinite Impulse Response (IIR) filter structure, or a hassfield neural network model is used. In this embodiment, the FIR filter structure will be taken as an example to specifically describe a process of adjusting the estimation prediction model according to the error.
Specifically, the current channel state is monitored in real time, for example, the current channel state is monitored in real time by dynamically tracking channel changes by using a link adaptation technique. If the channel changes, the interference cancellation signal generated by the initial estimation prediction model is inaccurate and cannot cancel the interference signal existing in the upper band of the channel, so that the estimation prediction model can be adjusted under the condition that the current channel changes are detected, so that the adjusted estimation prediction model is suitable for the current channel and can generate an accurate interference cancellation signal.
In a specific implementation, in the case that a change of the current channel is detected, a specific sub-process of adjusting the estimation prediction model may be as shown in fig. 3, and the specific sub-processes are as follows:
substep 1011: and judging whether the current channel is in an idle state, if so, executing a substep 1012, otherwise, ending the current subprocess of adjusting the estimation prediction model.
Specifically, whether the current channel is in an idle state or not can be judged in an energy detection mode, and if the channel is in the idle state, the current channel is not occupied by the user. And the in-band interference expected signal is a signal existing in a band under the condition that a channel is in an idle state. When the channel is in the idle state, the channel has no input signal, and only the interference signal exists in the band, so that when the channel is in the idle state, the in-band interference expected signal of the current channel can be acquired for calculating the error. If the channel is in a busy state, not only an in-band interference signal but also an effective signal exists in the channel, and the in-band interference expected signal cannot be accurately acquired, the current sub-process of adjusting the estimation prediction model is directly ended, the current estimation prediction model is continuously used for determining an interference elimination signal, and the interference elimination signal is used for eliminating the in-band interference signal of the channel.
Substep 1012: an error between the in-band interference desired signal and the interference cancellation signal is calculated.
Specifically, an estimation prediction model before adjustment is used to determine an interference elimination signal, and the determined interference elimination signal is subtracted from the acquired in-band interference expected signal, so that an error can be obtained.
Substep 1013: determining whether the error is less than a predetermined threshold, and if it is determined that the error is greater than or equal to the predetermined threshold, performing substep 1014; otherwise, ending the current sub-process of adjusting the estimation prediction model.
Specifically, the preset threshold may be predetermined by an engineer according to actual application, and if the error is smaller than the preset threshold, it indicates that the interference cancellation signal determined by the current estimation prediction model still can more accurately cancel the in-band interference signal of the current channel, so that the current sub-process of adjusting the estimation prediction model is directly ended without adjusting the estimation prediction model. If the error is greater than or equal to the preset threshold, it indicates that the current prediction model is not adapted to the current channel and the in-band interference signal of the current channel cannot be accurately eliminated, and at this time, the estimation prediction model needs to be adjusted, i.e., sub-step 1014 is performed.
Substep 1014: and according to the error, adjusting the prediction coefficient of the estimation prediction model, and determining the updated value of the prediction coefficient.
In one specific implementation, the prediction coefficients of the estimated prediction model are adjusted according to the error and a random gradient descent principle of the error. And regenerating the interference elimination signal after the prediction coefficient is adjusted according to the adjusted prediction coefficient.
Specifically, because the error is greater than or equal to the preset error, the current error is larger, and the error can be reduced according to the random gradient decreasing principle of the error; then, the prediction coefficient of the prediction model may be solved according to a least square criterion, and it is understood that, at the same time, other mathematical calculation rules, such as a minimum mean square error, may also be adopted.
Specifically, according to the least squares criterion, the error sequence can be expressed as:
wherein e (n) represents an error between the inband interferer desired signal and the interference canceled signal, y (n) represents the inband interferer desired signal,
representing the interference canceled signal and n represents the sequence length. Using the least squares criterion, minimize e (n), i.e.:
according to the formula (2), and based on the principle of e (n) minimization, i.e. minimizing the mean square error, a linear equation set can be generated, and the prediction coefficients of the estimation predictor can be solved.
It should be noted that, in the following description,
is determined by estimating the output signal of the prediction model, e.g. the prediction model is an FIR filter structure in this embodiment
Expressed as:
wherein, M represents the number of taps of the FIR filter structure, M-1 represents the order of the filter structure, h (k) represents the filter coefficients of the filter structure, i.e. h (k) is the prediction coefficients of the estimation prediction model, and x (n) represents the reference signal. Will be provided with
Substituting the above equation (2) becomes equation (2):
obtaining a formula (3) according to a least square criterion,
wherein r isyx(l) Denotes the autocorrelation of x (n), ryx(l) Is the cross-correlation between y (n) and x (n), ryx(l) And ryx(l) The calculation process of (2) and the process of solving according to the least square criterion will not be described in detail in this embodiment.
The prediction coefficient of the estimation prediction model can be calculated through the formula (1), the formula (2) and the formula (3).
After the prediction coefficient of the estimation prediction model after the error is adjusted is calculated, the interference elimination signal after the prediction coefficient is adjusted is regenerated according to the adjusted prediction coefficient. If the recalculated error is determined to be smaller than the preset threshold, determining the adjusted prediction coefficient to be the updated value of the prediction coefficient and executing step 1015, otherwise, continuously readjusting the prediction coefficient of the estimated prediction model until the recalculated error is smaller than the preset threshold, namely returning to sub-step 1011, checking whether the current channel is idle, if so, executing step 1012 again to regenerate the interference cancellation signal, recalculating the error between the in-band interference desired signal and the interference cancellation signal, executing step 1013 to judge whether the recalculated error is smaller than the preset threshold, and executing step 1014 again.
Substep 1015: and updating the prediction coefficients of the estimated prediction model to updated values of the prediction coefficients.
Specifically, if it is determined that the recalculated error is smaller than the preset threshold, the prediction coefficient of the estimated prediction model may be updated to an updated value of the prediction coefficient, so as to complete the adjustment of the estimated prediction model.
Step 102: and determining an interference elimination signal corresponding to the current reference signal according to the current reference signal and the adjusted estimation prediction model.
Specifically, the current reference signal is input into the adjusted estimation prediction model, so that the interference cancellation signal corresponding to the current reference signal can be determined.
It should be noted that, since the reference signal generally causes interference to the current channel, after the estimation prediction model is adjusted and the current channel is in an idle state, the reference signal is applied to a channel adjacent to the current channel, and an interference cancellation signal of the current reference signal is calculated.
Step 103: and eliminating the interference signal in the current channel by using the interference elimination signal to obtain an effective signal of the current channel.
Specifically, under the condition that the current channel is in a busy state, the input signal is input into a filter, the filter filters out an out-of-band interference signal of the adjacent channel interference signal, and then the interference elimination signal is used for eliminating the interference signal in the current channel, so that an effective signal without the adjacent channel interference signal is obtained. Wherein the filter may be a band pass filter.
Compared with the prior art, the method and the device have the advantages that the original estimation and prediction model is not suitable for the changed channel any more under the condition that the channel is changed, so that the interference elimination signal determined by the original estimation and prediction model is not accurate any more; and when the embodiment of the invention detects that the channel changes, the estimation prediction model can be automatically readjusted according to the error between the in-band interference expected signal and the interference elimination signal, so that the adjusted estimation prediction model is suitable for the current channel, and the accuracy of the interference elimination signal determined by the adjusted estimation prediction model is ensured, thereby accurately eliminating the interference signal in the current channel, obtaining an effective signal and improving the signal-to-noise ratio of the channel.
A second embodiment of the invention relates to a method of canceling adjacent channel interference. The second embodiment is a further improvement of the first embodiment, and the main improvements are as follows: in the second embodiment of the present invention, an out-of-band interference signal is used as a reference signal. Fig. 4 shows a specific flow of the method for eliminating adjacent channel interference in this embodiment.
Step 201: in the case of a detected channel change, the estimation prediction model is adjusted based on the error between the in-band interference desired signal and the interference cancellation signal.
This step 201 is substantially the same as step 101 in the first embodiment, and will not be described again in this embodiment.
Step 202: an input signal is received.
Specifically, an input signal is received with the current channel in a busy state. The input signal includes a desired signal, an in-band interferer signal, and an out-of-band interferer signal.
Step 203: and filtering the input signal to obtain an out-of-band interference signal and an in-band input signal.
Specifically, the filter may adopt a band-pass filter to obtain the center frequency and bandwidth of the current channel; the frequency of the band-pass filter is adjusted to the center frequency of the current channel, and the bandwidth of the band-pass filter is adjusted to the bandwidth of the current channel. And filtering the input signal by using the adjusted band-pass filter to obtain an out-of-band interference signal and an in-band input signal, wherein the in-band input signal comprises an effective signal and an in-band interference signal. Due to the fact that the frequency and the bandwidth of the band-pass filter are adjusted dynamically, the out-of-band interference signals can be eliminated accurately.
Step 204: and taking the out-of-band interference signal as a reference signal.
Specifically, the preset reference signal also causes interference to the current channel, the filtered out-of-band interference signal is directly used as the reference signal, and no additional signal is required to be led out, so that the interference to the current channel is avoided.
Step 205: and determining an interference elimination signal corresponding to the current reference signal according to the current reference signal and the adjusted estimation prediction model.
Step 205 is substantially the same as step 102 in the first embodiment, and will not be described again in this embodiment.
Step 206: and eliminating the interference signal in the current channel by using the interference elimination signal to obtain an effective signal of the current channel.
This step 206 is substantially the same as step 103 in the first embodiment, and will not be described again in this embodiment.
It should be noted that the steps 202 to 204 can also be executed before the step 201, that is, as long as the steps 202 to 204 are executed before the step 205.
Fig. 5 is a schematic diagram of a configuration of a corresponding apparatus in the present embodiment, and triangles represent signal receivers. When the channel is in busy state, the receiver receives the input signal, and passes the input signal through a band-pass filter, the band-pass filter divides the input signal into an out-of-band interference signal and an in-band input signal, the in-band input signal comprises an effective signal and an in-band interference signal of the current channel, the out-of-band interference signal is used as a reference signal and is input into the adjusted estimation prediction model, the estimation prediction model outputs an interference elimination signal, and the in-band input signal subtracts the interference elimination signal to obtain an output signal e (n). When the signal change is detected, the in-band input signal is only an in-band interference signal, the interference elimination signal is subtracted from the in-band input signal to obtain an error signal e (n), the error signal is fed back to the adjusting module, the adjusting module determines an updated value of the prediction coefficient, the updated value of the prediction coefficient is fed back to the estimation prediction model, and the estimation prediction model is updated, wherein the adjusting module is used for adjusting the prediction coefficient of the estimation prediction model according to the error.
In the method for eliminating interference of adjacent channels according to the embodiment, before determining an interference elimination signal corresponding to a current reference signal, an input signal is filtered, and an out-of-band interference signal is used as the reference signal, and since no additional reference signal needs to be introduced, further interference on the current channel is not caused.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
A third embodiment of the present invention relates to an electronic device, the electronic device 30 being used with a signal receiver, the electronic device 30 comprising: at least one processor 301; and a memory 302 communicatively coupled to the at least one processor 301; the memory 302 stores instructions executable by the at least one processor 301, and the instructions are executed by the at least one processor 301, so that the at least one processor 301 can execute the method for canceling adjacent channel interference in the first embodiment or the second embodiment.
The memory 302 and the processor 301 are connected by a bus, which may include any number of interconnected buses and bridges that link one or more of the various circuits of the processor 301 and the memory 302. The bus may also link various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor.
The processor 301 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And the memory may be used to store data used by the processor in performing operations.
Those skilled in the art can understand that all or part of the steps in the method of the foregoing embodiments may be implemented by a program to instruct related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, etc.) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (10)
1. A method for canceling adjacent channel interference, comprising:
under the condition that the change of a channel is detected, adjusting an estimation prediction model according to an error between an in-band interference expected signal and an interference elimination signal, wherein the estimation prediction model is used for determining a corresponding relation between an input reference signal and the interference elimination signal; the in-band interference expected signal is an interference signal which is leaked out of band into the in-band when the channel is in an idle state;
determining an interference elimination signal corresponding to the current reference signal according to the current reference signal and the adjusted estimation prediction model;
and eliminating the interference signal in the current channel by using the interference elimination signal to obtain the effective signal of the current channel.
2. The method of claim 1, wherein the adjusting the estimation prediction model according to the error between the inband interferer desired signal and the interferer cancellation signal specifically comprises:
according to the error, the prediction coefficient of the estimation prediction model is adjusted, and the updating value of the prediction coefficient is determined;
updating a prediction coefficient of the estimated prediction model to an updated value of the prediction coefficient.
3. The method of claim 2, wherein after detecting the channel change and before adjusting the estimation prediction model according to the error between the in-band interference desired signal and the interference cancellation signal, the method of canceling adjacent channel interference further comprises:
and judging whether the current channel is in an idle state, if the current channel is determined to be in the idle state, calculating an error between the in-band interference expected signal and the interference elimination signal, wherein the in-band interference expected signal is a signal existing in a band under the condition that the channel is in the idle state.
4. The method of claim 3, wherein after calculating the error between the inband interferer desired signal and the interferer cancellation signal, and before adjusting the prediction coefficients of the estimated prediction model, the method of canceling adjacent channel interference further comprises:
and judging whether the error is smaller than a preset threshold value or not, and determining that the error is larger than or equal to the preset threshold value.
5. The method according to any of claims 1 to 4, wherein before determining the interference cancellation signal corresponding to the current reference signal according to the current reference signal and the adjusted estimation prediction model, the method for canceling adjacent channel interference further comprises:
receiving an input signal;
filtering the input signal to obtain an out-of-band interference signal and an in-band input signal;
and taking the out-of-band interference signal as the reference signal.
6. The method according to claim 4, wherein the adjusting the prediction coefficients of the estimation prediction model according to the error to determine the updated values of the prediction coefficients comprises:
adjusting a prediction coefficient of the estimation prediction model according to the error and a random gradient descent principle of the error;
regenerating an interference elimination signal after the prediction coefficient is adjusted according to the adjusted prediction coefficient;
and if the recalculated error is determined to be smaller than the preset threshold, determining the adjusted prediction coefficient as an updated value of the prediction coefficient.
7. The method for eliminating adjacent channel interference according to any one of claims 1 to 4 and 6, wherein the estimation prediction model adopts a filter structure or a neural network model.
8. The method according to claim 5, wherein the filtering the input signal to obtain an out-of-band interference signal and an in-band input signal comprises:
acquiring the center frequency and the bandwidth of a current channel;
adjusting the frequency of a filter to the center frequency of the current channel and the bandwidth of the filter to the bandwidth of the current channel;
and filtering the input signal by using the adjusted filter to obtain an out-of-band interference signal and the in-band input signal.
9. An electronic device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of canceling adjacent channel interference according to any one of claims 1 to 8.
10. A computer-readable storage medium, storing a computer program, wherein the computer program, when executed by a processor, implements the method for canceling adjacent channel interference according to any one of claims 1 to 8.
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| CN111106842A (en) | 2020-05-05 |
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