CN112769720B - Method, apparatus, computer device and medium for channel equalization - Google Patents
Method, apparatus, computer device and medium for channel equalization Download PDFInfo
- Publication number
- CN112769720B CN112769720B CN202011626273.9A CN202011626273A CN112769720B CN 112769720 B CN112769720 B CN 112769720B CN 202011626273 A CN202011626273 A CN 202011626273A CN 112769720 B CN112769720 B CN 112769720B
- Authority
- CN
- China
- Prior art keywords
- received signal
- adjustment factor
- determining
- signal
- average power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 230000003044 adaptive effect Effects 0.000 claims abstract description 36
- 238000012545 processing Methods 0.000 claims description 23
- 238000005070 sampling Methods 0.000 claims description 22
- 238000012549 training Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 108010076504 Protein Sorting Signals Proteins 0.000 description 6
- 230000005540 biological transmission Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000004088 simulation Methods 0.000 description 5
- 230000004044 response Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000013179 statistical model Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03006—Arrangements for removing intersymbol interference
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03006—Arrangements for removing intersymbol interference
- H04L2025/03433—Arrangements for removing intersymbol interference characterised by equaliser structure
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)
Abstract
The present disclosure relates to a method, an apparatus, a computer device, and a medium for channel equalization, wherein the method for channel equalization includes: the method comprises the steps of obtaining the average power of a first receiving signal, determining a target adjusting factor according to the average power of the first receiving signal, adjusting the first receiving signal according to the target adjusting factor to obtain a second receiving signal, inputting the second receiving signal into an adaptive equalizer, and obtaining a third receiving signal output by the adaptive equalizer. The first received signal is adjusted according to the target adjustment factor before the received signal is input into the adaptive equalizer to obtain the second received signal, and then the second received signal is input into the adaptive equalizer to obtain the third received signal output by the adaptive equalizer, so that the convergence speed of the equalizer coefficient is accelerated, the output efficiency of the third received signal is improved, the intersymbol interference caused by extremely severe channel conditions is eliminated, and the performance of channel distortion compensation is improved.
Description
Technical Field
The present disclosure relates to the field of signal processing, and in particular, to a method, an apparatus, a computer device, and a medium for channel equalization.
Background
During the signal transmission, the transmission channel has multi-path interference, and the degree of the interference depends on the transmission environment of the signal. Therefore, in modern digital communication systems, especially wireless communication systems, the complex and varied transmission environments cause severe intersymbol interference. Intersymbol interference degrades the received signal, resulting in increased error rates and reduced system performance. To improve communication quality, an adaptive equalizer is typically used to compensate for the intersymbol interference.
The adaptive equalizer may continuously adjust equalizer coefficients according to channel variations to accomplish channel compensation. The adaptive equalizer realizes automatic convergence of equalizer coefficients and tracking of channel change through a recursive algorithm. Using the characteristics of the received signal, or using training sequence data, the adaptive equalizer may give a corresponding error formula by constantly updating the equalizer coefficients to minimize signal errors.
However, with the method in the prior art, under extremely severe channel conditions, the convergence speed of the equalizer coefficient is slow, and the effect of channel distortion compensation is poor, resulting in low performance of channel compensation.
Disclosure of Invention
To solve the above technical problem or at least partially solve the above technical problem, the present disclosure provides a method, an apparatus, a computer device, and a medium for channel equalization.
In a first aspect, the present disclosure provides a method for channel equalization, including:
obtaining an average power of a first received signal, the first received signal comprising: user data;
determining a target adjustment factor according to the average power of the first received signal;
adjusting the first receiving signal according to the target adjustment factor to obtain a second receiving signal;
and inputting the second received signal into an adaptive equalizer to obtain a third received signal output by the adaptive equalizer.
Optionally, the first receiving signal further includes: and training the sequence.
Optionally, the obtaining the average power of the first received signal includes:
oversampling the first received signal to obtain an oversampled signal;
and determining the average power of the first received signal according to the power of each sampling point in the over-sampled signal and the total number of the sampling points.
Optionally, the determining a target adjustment factor according to the average power of the first received signal includes:
determining an initial adjustment factor according to the average power of the first received signal;
and determining the target adjustment factor according to the value range of the initial adjustment factor.
Optionally, the determining an initial adjustment factor according to the average power of the first received signal includes:
according to
Determining initial adjustment factorsA seed;
wherein scale is the initial adjustment factor,
is the average power of the first received signal;
correspondingly, the determining the target adjustment factor according to the value range of the initial adjustment factor includes:
according to
Determining the target adjustment factor;
wherein, scale' is the target adjustment factor, and scale is the initial adjustment factor.
Optionally, the adjusting the first received signal according to the target adjustment factor to obtain a second received signal includes:
obtaining a second receiving signal according to x (i) ═ r (i) · scale';
wherein x (i) is the second received signal, r (i) is the first received signal, and scale' is the target adjustment factor.
In a second aspect, the present disclosure provides an apparatus for channel equalization, including:
an obtaining module, configured to obtain an average power of a first received signal, where the first received signal includes: user data;
the processing module is used for determining a target adjustment factor according to the average power of the first receiving signal;
the processing module is further configured to adjust the first received signal according to the target adjustment factor to obtain a second received signal;
the processing module is further configured to input the second received signal into an adaptive equalizer to obtain a third received signal output by the adaptive equalizer.
Optionally, the first receiving signal further includes: and training the sequence.
Optionally, the obtaining module is specifically configured to:
oversampling the first received signal to obtain an oversampled signal;
and determining the average power of the first received signal according to the power of each sampling point in the over-sampled signal and the total number of the sampling points.
Optionally, the processing module is specifically configured to:
determining an initial adjustment factor according to the average power of the first received signal;
and determining the target adjustment factor according to the value range of the initial adjustment factor.
Optionally, the processing module is specifically configured to perform the steps according to
Determining an initial adjustment factor;
wherein scale is the initial adjustment factor,
is the average power of the first received signal;
correspondingly, the processing module is also used for processing the data according to
Determining the target adjustment factor;
wherein scale' is the target adjustment factor, and scale is the initial adjustment factor.
Optionally, the processing module is specifically configured to obtain a second receiving signal according to x (i) ═ r (i) × scale';
wherein x (i) is the second received signal, r (i) is the first received signal, and scale' is the target adjustment factor.
In a third aspect, the present disclosure provides a computer device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of the first aspect when executing the program.
In a fourth aspect, the present disclosure provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method of any of the first aspects.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
before the received signal is input into the self-adaptive equalizer, the average power of the first received signal is obtained, a target adjustment factor is determined according to the average power of the first received signal, and the first received signal is adjusted according to the target adjustment factor to obtain a second received signal. The first received signal is adjusted according to the target adjustment factor to obtain a second received signal, and then the second received signal is input into the adaptive equalizer to obtain a third received signal output by the adaptive equalizer, so that the convergence speed of the coefficient of the equalizer is accelerated, the output efficiency of the third received signal is improved, the intersymbol interference caused by extremely severe channel conditions is eliminated, and the performance of channel distortion compensation is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of an embodiment of a channel equalization method provided in the present disclosure;
fig. 2 is a schematic flow chart of another embodiment of a channel equalization method provided in the present disclosure;
fig. 3 is a schematic flowchart of another embodiment of a channel equalization method according to the present disclosure;
FIG. 4 is a process flow diagram of an adaptive equalizer;
FIG. 5a is a schematic diagram of an equalization error of a prior art method simulation embodiment;
fig. 5b is a schematic diagram of an equalization error in a simulation embodiment of a channel equalization method according to the present disclosure;
FIG. 6a is a schematic diagram of equalizer power for a prior art method simulation embodiment;
fig. 6b is a schematic diagram of equalizer power according to a simulation embodiment of a channel equalization method provided in the present disclosure;
fig. 7 is a schematic structural diagram of an apparatus for channel equalization according to the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.
In a communication system, a signal is transmitted through a channel to a receiving end. Due to the disturbance and variation of the channel, the signal received by the receiving end has been distorted to generate inter-symbol interference, which is more serious especially under the extremely severe channel conditions. The receiving end needs to compensate for the intersymbol interference generated by the channel distortion to restore a normal received signal. In general, a receiving end inputs a received signal to an adaptive equalizer, and channel compensation is performed by constantly updating equalizer coefficients to minimize a signal error.
The method adjusts the received signal before inputting the received signal into the self-adaptive equalizer, inputs the adjusted received signal into the self-adaptive equalizer to obtain the received signal output by the self-adaptive equalizer, accelerates the convergence speed of the equalizer coefficient, thereby improving the output efficiency of the received signal, eliminating the intersymbol interference caused by extremely severe channel conditions and improving the performance of channel distortion compensation.
The technical solutions of the present disclosure are described in several specific embodiments, and the same or similar concepts may be referred to one another, and are not described in detail in each place.
Fig. 1 is a flowchart illustrating an embodiment of a channel equalization method according to an embodiment of the present disclosure, where the channel equalization method according to the embodiment of the present disclosure may be applied to a base station, a terminal, or other entities that need to execute receiving signals in a communication system, and the present disclosure does not limit the present disclosure in any way. As shown in fig. 1, the method of the present embodiment includes:
s101: an average power of the first received signal is obtained.
Wherein the first received signal comprises: user data.
One possible implementation is: as shown in figure 2 of the drawings, in which,
s1011: and oversampling the first receiving signal to obtain an oversampled signal.
To reduce signal errors, the first received signal may be oversampled. Oversampling is to sample the signal at a sampling frequency that is higher than twice the highest frequency of the signal, typically at a sampling frequency that is 2 times, 4 times, or higher than the highest frequency of the signal. For example, the highest frequency of the first received signal is f s The first received signal is oversampled by a factor of 2, i.e. by 2f s The first received signal is sampled at the sampling frequency of (a) to obtain a discrete digital signal.
S1012: the average power of the first received signal is determined based on the power of each sample point in the oversampled signal and the total number of sample points.
Optionally, according to
The average power of the first received signal is determined,
wherein,
is the average power of the first received signal, r (i) is the over-sampled signal, and L is the total number of samples. The method comprises the steps of obtaining the power of each sampling point in an oversampling signal according to the amplitude of each sampling point in the oversampling signal corresponding to a first signal, summing the powers of all the sampling points in the oversampling signal to obtain the total power of the oversampling signal, and determining the average power of a first receiving signal according to the total power and the total number of the sampling points.
Optionally, K sampling points are taken forward according to the position of the signal r (n) to be equalized to obtain an oversampled signal sequence [ r (n + K-1), r (n + K-2) ], r (n)]And K is an integer of 1 or more. Obtaining the power of K sampling points according to the amplitude values of the K sampling points in the oversampling signal sequence, summing the power of the K sampling points, and calculating the average value of the power of the K sampling points
An average power of the first received signal is determined. K sampling points can be backwards taken according to the position of a signal r (n) to be equalized to obtain an over-sampling signal sequence; alternatively, the signal sequence is oversampled by taking 2/K samples forward and backward respectively according to the position of the signal r (n) to be equalized, which is not limited by the present disclosure.
S102: a target adjustment factor is determined based on the average power of the first received signal.
One possible implementation is: as shown in the figure 3 of the drawings,
s1021: an initial adjustment factor is determined based on the average power of the first received signal.
Optionally, according to
Determining an initial adjustment factor;
wherein scale is an initial adjustment factor,
is the average power of the first received signal. The initial adjustment factor is equal to 2 times the inverse of the average power of the first signal.
Optionally, the channel can be selected according toAnd modifying the calculation formula of the initial adjustment factor according to the severity of the condition. E.g. under generally poor channel conditions, according to
An initial adjustment factor is determined. The disclosure is not limited to a specific calculation formula for determining the initial adjustment factor according to the average power of the first received signal.
S1022: and determining a target adjustment factor according to the value range of the initial adjustment factor.
Accordingly, according to
Determining a target adjustment factor;
wherein, scale' is a target adjustment factor, and scale is an initial adjustment factor. When scale is less than 1, scale' is equal to
When scale is greater than 1 and less than 1.5, scale' is equal to 1.5; scale' is equal to 4 when scale is greater than 1; when scale is equal to 1, or scale is 1.5 or more and 4 or less, scale' is equal to scale.
Optionally, the division of the value range where the initial adjustment factor is located and the specific value of the target adjustment factor may be set according to actual requirements, for example: scale' is equal to 2 when scale is greater than 1 and less than 3; when scale is greater than 3, scale' is equal to 4. The present disclosure is not limited to the specific calculation formula for determining the target adjustment factor according to the value range of the initial adjustment factor.
S103: and adjusting the first receiving signal according to the target adjusting factor to obtain a second receiving signal.
One possible implementation is: obtaining a second receiving signal according to x (i) ═ r (i) · scale';
where x (i) is the second received signal, r (i) is the first received signal, and scale' is the target adjustment factor.
If the average power of the first received signal is smaller due to the disturbance and the change of the channel in the transmission process of the first received signal, the first received signal can be amplified according to the target adjustment factor to obtain a second received signal. If the average power of the first received signal is larger due to the disturbance and the change of the channel in the transmission process of the first received signal, the first received signal can be reduced according to the target adjustment factor to obtain a second received signal.
Optionally, r (i) may be an oversampled signal of the first received signal.
S104: and inputting the second received signal into the adaptive equalizer to obtain a third received signal output by the adaptive equalizer.
The second received signal is input to the adaptive equalizer, and the processing flow of the adaptive equalizer is shown in fig. 4.
S1041: and constructing a data segment to be equalized.
Adding M/2 0 s before and after the second received signal sequence x (i), wherein M is the length of the equalizer. In the sequence of x (i) after zero padding, M sample values are taken forward and turned over according to the position of the target detection signal x (n), and a data segment to be equalized is determined
Setting initial equalizer coefficients to
Step size parameter [ mu ] (0, 2/MS) max ) Wherein S is max Maximum power spectral density value of x (i).
S1042: and carrying out linear filtering on the data segment to be equalized to obtain a third receiving signal output by the self-adaptive equalizer.
According to
Third received signal to obtain output of adaptive equalizerThe number of the mobile station is,
wherein y (n) is a third received signal,
in order to be the equalizer coefficients,
is a data segment to be equalized.
S1043: an error signal is determined from the third received signal.
Determining an error signal based on e (n) ═ d (n) -y (n),
where e (n) is an error signal, d (n) is an expected response, and y (n) is a third received signal. The expected response of the user data is different from the expected response of the training sequence, which is a known signal sequence, and the expected response of the user data is the signal reconstructed by demodulation of the user data.
S1044: the equalizer coefficients are updated.
According to
The equalizer coefficients are updated such that,
wherein,
the equalizer coefficient corresponding to the next signal x (n +1) of the target detection signal,
for the target detection signal x (n) corresponding equalizer coefficients, μ is the step size parameter, e (n) is the error signal,
for data segments to be equalized
Conjugation of (1).
And carrying out demodulation judgment on the third received signal output by the self-adaptive equalizer to obtain final demodulation data.
Alternatively, if the first received signal is oversampled in S101, the third received signal needs to be downsampled by the same multiple according to the oversampling multiple of the first received signal before performing demodulation decision on the third received signal. For example, when the first received signal is oversampled by 2 times, it is necessary to downsample the third received signal by 2 times to obtain a downsampled signal, perform demodulation decision on the downsampled signal, and obtain final demodulation data.
And repeatedly executing S101-S104 for all the received data until the whole receiving process is finished.
In this embodiment, the average power of a first received signal is obtained, where the first received signal includes: and determining a target adjustment factor according to the average power of the first received signal, adjusting the first received signal according to the target adjustment factor to obtain a second received signal, inputting the second received signal into the adaptive equalizer, and obtaining a third received signal output by the adaptive equalizer. The first received signal is adjusted according to the target adjustment factor to obtain a second received signal, and then the second received signal is input into the adaptive equalizer to obtain a third received signal output by the adaptive equalizer, so that the convergence speed of the coefficient of the equalizer is accelerated, the output efficiency of the third received signal is improved, the intersymbol interference caused by extremely severe channel conditions is eliminated, and the performance of channel distortion compensation is improved.
Optionally, the first receiving signal further includes: and training the sequence. In order to make the adaptive equalizer track the channel variation quickly, a known symbol sequence with a fixed length is usually inserted into the transmitted signal, which is called training sequence. The training sequence is typically a binary pseudorandom signal or a string of pre-designated data bits.
Optionally, when the first received signal includes the training sequence and the user data, obtaining an average power of the first received signal, determining a target adjustment factor according to the average power of the first received signal, adjusting the first received signal according to the target adjustment factor to obtain a second received signal, and inputting the second received signal into the adaptive equalizer to obtain a third received signal output by the adaptive equalizer. Because the equalizer coefficient is updated iteratively according to the training sequence before the user data is processed by the adaptive equalizer, after the training sequence is processed, the equalizer coefficient is close to the optimal value, and the convergence speed of the equalizer coefficient is accelerated, thereby improving the output efficiency of the user data in the received signal, eliminating the intersymbol interference caused by extremely severe channel conditions, improving the performance of channel distortion compensation, reducing the error rate of the user data in the received signal, and improving the reliability of the communication system.
The Rummler (Rummler) channel is a statistical model based on the channel transfer function, and is widely applied to the simulation of a communication system. Fig. 5a shows the equalization error simulated by the method of the prior art under the extremely bad Rummler channel. Fig. 5b comparatively shows the equalization error simulated by the method for channel equalization provided by the present disclosure under the same extremely bad Rummler channel. As can be seen from fig. 5a, with the prior art method, the convergence rate of the equalization error is very slow, and at least 16000 training samples within the observation range still do not converge significantly. As can be seen from fig. 5b, by using the channel equalization method provided by the present disclosure, the convergence rate of the equalization error is significantly improved, and the convergence of the equalization error can be achieved only by about 6000 training samples.
Fig. 6a shows the equalizer power simulated by the prior art method under the extremely severe Rummler channel. Fig. 6b shows comparatively the equalizer power simulated by the method of channel equalization provided by the present disclosure under the same extremely severe Rummler channel, and it can be seen from fig. 6a that the convergence speed of the equalizer power is very slow and always tends to rise when the method of the prior art is adopted, and at least there is still no obvious convergence at 16000 training samples within the observation range. As can be seen from fig. 6b, when the channel equalization method provided by the present disclosure is used, the convergence rate of the equalization error is significantly improved, the convergence of the equalization error can be achieved only by 6000 training samples, and the final equalizer power is much lower than that of the equalizer using the channel equalization method in the prior art.
Fig. 7 is a schematic structural diagram of an apparatus for channel equalization according to the present disclosure, where the apparatus of this embodiment includes: an acquisition module 701 and a processing module 702.
The obtaining module 701 is configured to obtain an average power of a first received signal, where the first received signal includes: user data;
a processing module 702, configured to determine a target adjustment factor according to the average power of the first received signal;
the processing module 702 is further configured to adjust the first received signal according to the target adjustment factor to obtain a second received signal;
the processing module 702 is further configured to input the second received signal into an adaptive equalizer to obtain a third received signal output by the adaptive equalizer.
Optionally, the first receiving signal further includes: and (4) training a sequence.
Optionally, the obtaining module 701 is specifically configured to:
oversampling the first received signal to obtain an oversampled signal;
and determining the average power of the first received signal according to the power of each sampling point in the over-sampled signal and the total number of the sampling points.
Optionally, the processing module 702 is specifically configured to:
determining an initial adjustment factor according to the average power of the first received signal;
and determining the target adjustment factor according to the value range of the initial adjustment factor.
Optionally, the processing module 702 is specifically configured to perform the method according to
Determining an initial adjustment factor;
wherein scale is the initial adjustment factor,
is the average power of the first received signal;
accordingly, the processing module 702 is further configured to
Determining the target adjustment factor;
wherein scale' is the target adjustment factor, and scale is the initial adjustment factor.
Optionally, the processing module 702 is specifically configured to obtain a second receiving signal according to x (i) ═ r (i) × scale';
wherein x (i) is the second received signal, r (i) is the first received signal, and scale' is the target adjustment factor.
The device of this embodiment may be used to implement the technical solution of any one of the methods shown in fig. 1 to fig. 4, and the implementation principle and the technical effect are similar, which are not described herein again.
The disclosed embodiment provides a computer device, including: the memory, the processor, and the computer program stored in the memory and capable of running on the processor, where the processor executes the program to implement the technical solution of any one of the methods shown in fig. 1 to 4, and the implementation principle and the technical effect are similar, and are not described herein again.
The present disclosure also provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the solution of the method embodiment shown in any one of fig. 1 to 4.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. A method for channel equalization, comprising:
obtaining an average power of a first received signal, the first received signal comprising: user data;
determining a target adjustment factor according to the average power of the first received signal;
adjusting the first receiving signal according to the target adjustment factor to obtain a second receiving signal;
inputting the second received signal into an adaptive equalizer to obtain a third received signal output by the adaptive equalizer;
the determining a target adjustment factor according to the average power of the first received signal includes:
determining an initial adjustment factor according to the average power of the first received signal;
determining the target adjustment factor according to the value range of the initial adjustment factor;
the determining an initial adjustment factor according to the average power of the first received signal includes:
according to
Determining an initial adjustment factor;
wherein scale is the initial adjustment factor,
is the average power of the first received signal;
correspondingly, the determining the target adjustment factor according to the value range of the initial adjustment factor includes:
according to
Determining the target adjustment factor;
wherein scale' is the target adjustment factor, and scale is the initial adjustment factor;
the adjusting the first received signal according to the target adjustment factor to obtain a second received signal includes:
obtaining a second receiving signal according to x (i) ═ r (i) · scale';
wherein x (i) is the second received signal, r (i) is the first received signal, and scale' is the target adjustment factor.
2. The method of claim 1, wherein the first receiving signal further comprises: and training the sequence.
3. The method of claim 1 or 2, wherein the obtaining the average power of the first received signal comprises:
oversampling the first received signal to obtain an oversampled signal;
and determining the average power of the first received signal according to the power of each sampling point in the over-sampled signal and the total number of the sampling points.
4. An apparatus for channel equalization, comprising:
an obtaining module, configured to obtain an average power of a first received signal, where the first received signal includes: user data;
the processing module is used for determining a target adjustment factor according to the average power of the first receiving signal;
the processing module is further configured to adjust the first received signal according to the target adjustment factor to obtain a second received signal;
the processing module is further configured to input the second received signal into an adaptive equalizer to obtain a third received signal output by the adaptive equalizer;
the processing module is specifically used for
Determining an initial adjustment factor;
wherein scale is the initial adjustment factor,
is the average power of the first received signal;
according to
Determining the target adjustment factor;
wherein, scale' is the target adjustment factor, and scale is the initial adjustment factor;
obtaining a second receiving signal according to x (i) ═ r (i) · scale';
wherein x (i) is the second received signal, r (i) is the first received signal, and scale' is the target adjustment factor.
5. The apparatus of claim 4, wherein the processing module is specifically configured to:
determining an initial adjustment factor according to the average power of the first received signal;
and determining the target adjustment factor according to the value range of the initial adjustment factor.
6. A computer device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor implementing the steps of the method according to any one of claims 1 to 3 when executing the program.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011626273.9A CN112769720B (en) | 2020-12-31 | 2020-12-31 | Method, apparatus, computer device and medium for channel equalization |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011626273.9A CN112769720B (en) | 2020-12-31 | 2020-12-31 | Method, apparatus, computer device and medium for channel equalization |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112769720A CN112769720A (en) | 2021-05-07 |
| CN112769720B true CN112769720B (en) | 2022-08-16 |
Family
ID=75698765
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011626273.9A Active CN112769720B (en) | 2020-12-31 | 2020-12-31 | Method, apparatus, computer device and medium for channel equalization |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112769720B (en) |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0543328B1 (en) * | 1991-11-18 | 1999-03-17 | Nec Corporation | Automatic equalizer capable of effectively cancelling intersymbol interference and cross polarization interference in co-channel dual polarization |
| JP3230482B2 (en) * | 1998-03-13 | 2001-11-19 | 日本電気株式会社 | Adaptive equalizer |
| CN108881082B (en) * | 2018-06-26 | 2019-09-24 | 中国人民解放军国防科技大学 | Signal-to-noise ratio determining method and device and channel equalization method and device |
-
2020
- 2020-12-31 CN CN202011626273.9A patent/CN112769720B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112769720A (en) | 2021-05-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US6983030B2 (en) | Approach for processing data received from a communications channel in finite precision arithmetic applications | |
| CN108712353B (en) | Soft iteration channel estimation method | |
| EP1525698A1 (en) | Training prefix modulation method and receiver | |
| JPH0936704A (en) | Adaptively equalizing method, digital communication system, cellular telephone communication system and cellular telephone receiver | |
| EP1157514A1 (en) | Kalman equalisation in mulitcarrier receivers | |
| CA2508383A1 (en) | Method and apparatus to automatically control a step size of an lms-type equalizer | |
| CN113300988B (en) | Inter-modal interference suppression method for low-frequency underwater acoustic communication | |
| US5448590A (en) | Equalization technique for compensating for degradation to the transmission of digitally modulated signals | |
| CN112929308B (en) | Channel distortion elimination method based on maximum correlation entropy and fractional order normal modulus blind equalization | |
| JPH0654885B2 (en) | Adaptive equalizer for binary signals and method of operating same | |
| JP2012503424A (en) | Channel estimation in OFDM receiver | |
| JP2011223591A (en) | Method and apparatus for equalization control | |
| US7489734B2 (en) | Equalization in radio receiver | |
| US7127019B2 (en) | Methods and apparatus for implementing multi-tone receivers | |
| CN112769720B (en) | Method, apparatus, computer device and medium for channel equalization | |
| CN110430151B (en) | Variable tap length blind decision feedback frequency domain equalization method for underwater acoustic communication | |
| US7933323B2 (en) | Method and system for performing timing recovery in a digital communication system | |
| US20040165674A1 (en) | Method for initialization and stepsize control of time-domain equalizer in multi-carrier communication system | |
| US20020167999A1 (en) | Equalizer, receiver, and equalization method and reception method | |
| US7277514B2 (en) | Inter-symbol interference canceller | |
| CN115996065B (en) | Robust adaptive turbo equalization method and apparatus applied to time-varying underwater acoustic channel | |
| US9014250B2 (en) | Filter for impulse response shortening with additional spectral constraints for multicarrier transmission | |
| JPH0865210A (en) | Equalization of equalizer positioning and its circuit | |
| JP4795274B2 (en) | Adaptive equalizer | |
| CN114978346A (en) | Digital signal linear equalization method and system, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |