Channel interference suppression methods, apparatus, devices and readable storage media

Abstract

This invention provides a channel interference suppression method, apparatus, device, and readable storage medium, relating to the field of electromagnetic wave detection. The method includes: acquiring a first signal transmitted by a signal transmitting device in a wireless communication system based on a channel; performing shift and division processing on the first signal to obtain a bidirectional spectral quotient signal; performing outlier processing on the bidirectional spectral quotient signal to obtain a limited amplitude spectral quotient signal; and extracting features from the limited amplitude spectral quotient signal to obtain a target signal. Using this invention in a wireless communication system, processing the received signal can suppress channel interference.

Description

Technical Field

[0001] This invention relates to the field of electromagnetic wave detection, and in particular to a channel interference suppression method, apparatus, device, and readable storage medium. Background Technology

[0002] Channel interference suppression is a common channel processing method in semi-blind signal detection technology. Semi-blind signal detection technology refers to obtaining further information about a signal, such as modulation method, coding method, and signal decoding, based on some known information about the signal, such as frequency and bandwidth, combined with the signal's own statistical characteristics and related technologies, in a wireless communication system.

[0003] In communication systems, the performance of wireless communication systems varies with the wireless channel due to the complex and ever-changing wireless communication environment. Therefore, channel processing of received signals is an indispensable step. In traditional cooperative communication scenarios, the purpose of channel processing is to recover and correct the received data to improve the performance of signal coherence detection. Channel estimation and equalization techniques are commonly used. Traditional channel estimation techniques are divided into two main categories: non-blind channel estimation and blind channel estimation. Non-blind channel estimation techniques typically use pilot sequences or training sequences to estimate the parameters of a modeled channel. Common methods include least squares-based channel estimation, minimum mean square error channel estimation, decision-guided channel estimation, and maximum expectation channel estimation. Blind signal estimation techniques, on the other hand, do not rely on pilots or training sequences. They utilize the characteristics of the communication system or the received signal itself, obtaining channel state information solely through processing the received signal. Common blind channel estimation techniques include those utilizing higher-order statistical properties and those utilizing subspaces.

[0004] However, semi-blind signal detection and analysis falls under non-cooperative communication scenarios. In such scenarios, due to limited prior information, it is necessary to utilize the statistical characteristics of the received signal to obtain its features. Since the statistical characteristics of the signal and the statistical characteristics of the channel are often inseparable, the complex and variable channel environment can produce channel effects on the signal's statistical characteristics, thereby affecting the signal's features. Summary of the Invention

[0005] The purpose of this invention is to provide a channel interference suppression method, apparatus, device, and readable storage medium to solve the problem of interference to signal statistical characteristics caused by complex and ever-changing channel environments.

[0006] To address the aforementioned technical problems, embodiments of the present invention provide a channel interference suppression method, comprising:

[0007] Acquire the first signal transmitted by the signal transmitting device in the wireless communication system based on the channel;

[0008] The first signal is shifted and divided to obtain a bidirectional spectral quotient signal;

[0009] Outlier point processing is performed on the bidirectional spectral quotient signal to obtain a limited spectral quotient signal;

[0010] Feature extraction is performed on the amplitude-limited spectral quotient signal to obtain the target signal.

[0011] Optionally, the step of performing shift-and-divide processing on the first signal to obtain a bidirectional spectral quotient signal includes:

[0012] Obtain the initial frequency domain sequence and initial data subcarrier index of the first signal;

[0013] Perform a Fourier transform on the initial frequency domain sequence to generate the target frequency domain sequence;

[0014] The target frequency domain sequence and the initial data subcarrier index are subjected to shift and division processing to obtain a bidirectional spectral quotient signal.

[0015] Optionally, the step of performing shift-and-divide processing on the target frequency domain sequence and the initial data subcarrier index to obtain a bidirectional spectral quotient signal includes:

[0016] Perform a left circular shift calculation on the initial data subcarrier index to generate the first data subcarrier index;

[0017] Based on the initial data subcarrier index and the first data subcarrier index, the target frequency domain sequence is divided to generate a left-directed spectral quotient signal;

[0018] Perform a right circular shift calculation on the initial data subcarrier index to generate a second data subcarrier index;

[0019] Based on the initial data subcarrier index and the second data subcarrier index, the target frequency domain sequence is divided to generate a right-directed spectral quotient signal;

[0020] Based on the left-direction spectral quotient signal and the right-direction spectral quotient signal, a bidirectional spectral quotient signal is obtained.

[0021] Optionally, the bidirectional spectral quotient signal includes:

[0022] First-order bidirectional spectral quotient signal or Q-order bidirectional spectral quotient signal;

[0023] Wherein, the first-order bidirectional spectral quotient signal is obtained by performing a shift and division process on the first signal once, and the Q-order bidirectional spectral quotient signal is obtained by performing a shift and division process on the first signal Q times, where Q is an integer greater than 1.

[0024] Optionally, the outlier processing of the bidirectional spectral quotient signal to obtain the amplitude-limited spectral quotient signal includes:

[0025] Obtain the position coordinates of the symbol points on the constellation diagram of the bidirectional spectral quotient signal and the position coordinates of the ideal points corresponding to the symbol points;

[0026] Based on the position coordinates of the symbol point and the ideal point, the symbol point whose distance from the ideal point is greater than a first threshold is identified as an outlier.

[0027] The outliers are screened out and / or their amplitude is limited to obtain the amplitude-limited spectral quotient signal.

[0028] Optionally, the target signal includes a target spectral quotient signal and a target spectral quotient error signal;

[0029] The step of extracting features from the amplitude-limited spectral quotient signal to obtain the target signal includes:

[0030] The target spectral quotient signal is obtained by extracting features from the modulus of the amplitude-limited spectral quotient signal.

[0031] The minimum distance of the limited spectral quotient signal is calculated based on the constellation diagram of the limited spectral quotient signal to obtain the target spectral quotient error signal.

[0032] Optionally, the minimum distance of the limited spectral quotient signal is calculated based on the constellation diagram of the limited spectral quotient signal to obtain the target spectral quotient error signal, including:

[0033] Quadrature amplitude modulation (QAM) is applied to the constellation diagram of the amplitude-limited spectral quotient signal to generate a spectral quotient constellation diagram;

[0034] The minimum Euclidean distance is calculated between the limited spectral quotient signal and the symbol points in the spectral quotient constellation diagram to obtain the target spectral quotient error signal.

[0035] This invention also provides a channel interference suppression device, comprising:

[0036] The first acquisition module is used to acquire the first signal transmitted by the signal transmitting device in the wireless communication system based on the channel.

[0037] The first processing module is used to perform shift and division processing on the first signal to obtain a bidirectional spectral quotient signal;

[0038] The second processing module is used to perform outlier processing on the bidirectional spectral quotient signal to obtain a limited spectral quotient signal.

[0039] The feature extraction module is used to extract features from the amplitude-limited spectral quotient signal to obtain the target signal.

[0040] This invention also provides a network device, including: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the channel interference suppression method as described in any of the preceding claims.

[0041] This invention also provides a readable storage medium, comprising: a program stored on the readable storage medium, wherein when the program is executed by a processor, it implements the steps of the channel interference suppression method as described in any of the preceding claims.

[0042] The beneficial effects of the above-described technical solution of the present invention are as follows:

[0043] In the above scheme, the first signal transmitted by the signal transmitting device in the wireless communication system based on the channel is obtained. Since the channel interferes with the signal, the first signal needs to be processed to suppress channel interference. First, the first signal is shifted and divided to suppress the channel and obtain a bidirectional spectral quotient signal. Then, the bidirectional spectral quotient signal is amplitude-limited to optimize the suppression effect on the channel and obtain an amplitude-limited spectral quotient signal. Finally, the amplitude-limited spectral quotient signal is used for feature extraction to obtain the target signal. This realizes the feature extraction of the signal. By using the embodiments of the present invention, the received signal can be processed in the wireless communication system to suppress channel interference. Attached Figure Description

[0044] Figure 1 This is a flowchart illustrating the channel interference suppression method according to an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of the QPSK spectral quotient constellation diagram according to an embodiment of the present invention;

[0046] Figure 3 This is a schematic diagram of the M-QAM spectral quotient constellation diagram according to an embodiment of the present invention;

[0047] Figure 4 This is a schematic diagram of the channel interference suppression device according to an embodiment of the present invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] like Figure 1 As shown, an embodiment of the present invention provides a channel interference suppression method, comprising:

[0050] Step S101: Obtain the first signal transmitted by the signal transmitting device in the wireless communication system based on the channel;

[0051] Step S102: Perform a shift and division process on the first signal to obtain a bidirectional spectral quotient signal;

[0052] Step S103: Perform outlier processing on the bidirectional spectral quotient signal to obtain a limited spectral quotient signal;

[0053] Step S104: Extract features from the limited amplitude spectral quotient signal to obtain the target signal.

[0054] In this embodiment of the invention, the first signal is a signal under the Orthogonal Frequency Division Multiplexing (OFDM) standard. OFDM signals are widely used in Long Term Evolution (LTE) scenarios, 5th Generation Mobile Communication Technology (5G), and 6th Generation Mobile Communication Technology (6G). In wireless communication systems, the signal receiving device receives the first signal transmitted by the signal transmitting device. However, since the transmission medium of the signal is a channel, the received first signal will be subject to channel interference. Therefore, the first signal is acquired and processed to reduce channel interference. First, the first signal is shifted and divided using an N-step shift bidirectional spectral quotient signal generator to construct a bidirectional spectral quotient signal, which can suppress channel interference. N is an integer greater than or equal to 1. Second, the bidirectional spectral quotient signal is clipped by processing outliers to obtain a clipped spectral quotient signal, which can optimize the suppression effect on the channel. Finally, the clipped spectral quotient signal is feature-extracted to obtain the target signal, which facilitates subsequent signal processing. In this embodiment of the invention, processing the received signal in a wireless communication system can suppress channel interference.

[0055] Optionally, the step of performing shift-and-divide processing on the first signal to obtain a bidirectional spectral quotient signal includes:

[0056] Obtain the initial frequency domain sequence and initial data subcarrier index of the first signal;

[0057] Perform a Fourier transform on the initial frequency domain sequence to generate the target frequency domain sequence;

[0058] The target frequency domain sequence and the initial data subcarrier index are subjected to shift and division processing to obtain a bidirectional spectral quotient signal.

[0059] In this embodiment of the invention, step S102 is described in detail. The present invention utilizes the channel frequency response similarity characteristics of adjacent OFDM frequency domain signals, and constructs a bidirectional spectral quotient signal by performing shift and division processing on the signal transmitted within one OFDM symbol time through an N-step shift bidirectional spectral quotient signal generator.

[0060] Obtain the initial frequency domain sequence and initial data subcarrier index for each signal in the OFDM signal data domain, where:

[0061] The kth OFDM signal s k The initial frequency domain sequence is: s k =[s k (0),s k (1),…,s k [(I1-1)], where I1 is the length of the OFDM symbol after removing the cyclic prefix;

[0062] The initial data subcarrier index ID is: ID = [id(0), id(1), ..., id(I2-1)], where I2 is the total number of data subcarriers.

[0063] Perform a Fourier transform on the initial frequency domain sequence to generate the target frequency domain sequence, where:

[0064] For s k Performing a Fourier transform yields:

[0065] Get s k The corresponding target frequency domain sequence S k For: S k =[S k (0),S k (1),…,S k (I1-1)];

[0066] For the target frequency domain sequence S k The bidirectional spectral quotient signal is obtained by shifting and dividing the initial data subcarrier index ID.

[0067] It should be noted that in this embodiment, a Fourier-like transform was performed on the frequency domain sequence of the first signal, and subsequent shift and division operations were performed. Therefore, the generated signal was determined to be a spectral quotient signal. In the subsequent shift process, left and right shifts were performed respectively, thus the signal was determined to be a bidirectional spectral quotient signal.

[0068] Optionally, the step of performing shift-and-divide processing on the target frequency domain sequence and the initial data subcarrier index to obtain a bidirectional spectral quotient signal includes:

[0069] Perform a left circular shift calculation on the initial data subcarrier index to generate the first data subcarrier index;

[0070] Based on the initial data subcarrier index and the first data subcarrier index, the target frequency domain sequence is divided to generate a left-directed spectral quotient signal;

[0071] Perform a right circular shift calculation on the initial data subcarrier index to generate a second data subcarrier index;

[0072] Based on the initial data subcarrier index and the second data subcarrier index, the target frequency domain sequence is divided to generate a right-directed spectral quotient signal;

[0073] Based on the left-direction spectral quotient signal and the right-direction spectral quotient signal, a bidirectional spectral quotient signal is obtained.

[0074] In this embodiment of the invention, the specific process of shift division is described. In a single-carrier system, if the transmitted signal of the single-carrier system has cyclic characteristics, such as a repeating preamble sequence, the channel frequency response autocorrelation characteristic is used to perform cyclic shift division to obtain a signal sequence with channel-independent characteristics. First, the initial data subcarrier index is cyclically shifted to the left and then cyclically shifted to the right. Then, the target frequency domain sequence is divided according to the shifted data subcarrier index and the initial subcarrier index to generate a bidirectional spectral quotient signal. The following description uses the right cyclic shift as an example:

[0075] The data on different data subcarriers are subjected to a right circular shift of N steps to generate the second data subcarrier index ID. rcs For: ID rcs =[id rcs (0),id rcs (1),…,id rcs (I2-1)]=[id(I2-N),…,id(I2-1),id(0),…,id(I2-N-1)];

[0076] Define the index pair p of the data subcarriers id p id ={id(i2),id rcs (i2)},(≤i2≤i2-1);

[0077] Define the cyclic right shift spectral quotient vector for:

[0078] in, The i2th signal Represented as: i2 is an integer greater than or equal to 0.

[0079] Similarly, define the cyclic left shift spectral quotient vector. for:

[0080] in, The i2th signal Represented as:

[0081] Thus, a pair of bidirectional spectral quotient signals can be obtained. The first signal undergoes N-step shifting and division in the frequency domain, which suppresses channel interference.

[0082] Optionally, the bidirectional spectral quotient signal includes:

[0083] First-order bidirectional spectral quotient signal or Q-order bidirectional spectral quotient signal;

[0084] Wherein, the first-order bidirectional spectral quotient signal is obtained by performing a shift and division process on the first signal once, and the Q-order bidirectional spectral quotient signal is obtained by performing a shift and division process on the first signal Q times, where Q is an integer greater than 1.

[0085] In this embodiment of the invention, the bidirectional spectral quotient signal generated in step S102 can be either first-order or higher-order. Specifically, a first-order bidirectional spectral quotient signal is generated by performing a shift-and-divide process on the first signal. This first-order bidirectional spectral quotient signal is then iteratively input into an N-step shift bidirectional spectral quotient signal generator to generate a higher-order bidirectional spectral quotient signal. The higher the order of the bidirectional spectral quotient signal, the stronger its ability to eliminate channel interference; conversely, the lower the order, the stronger its noise immunity. Bidirectional spectral quotient signals of the corresponding order can be generated according to actual needs.

[0086] Optionally, the outlier processing of the bidirectional spectral quotient signal to obtain the amplitude-limited spectral quotient signal includes:

[0087] Obtain the position coordinates of the symbol points on the constellation diagram of the bidirectional spectral quotient signal and the position coordinates of the ideal points corresponding to the symbol points;

[0088] Based on the position coordinates of the symbol point and the ideal point, the symbol point whose distance from the ideal point is greater than a first threshold is identified as an outlier.

[0089] The outliers are screened out and / or their amplitude is limited to obtain the amplitude-limited spectral quotient signal.

[0090] In this embodiment of the invention, to prevent outliers from affecting subsequent feature statistics, outliers in the bidirectional spectral quotient signal need to be processed. First, a constellation diagram of the bidirectional spectral quotient signal is obtained. The positions of the symbol points on the constellation diagram are compared with the ideal points. If a symbol point deviates from the ideal point by a certain threshold (i.e., the distance between the symbol point and the ideal point is greater than a first threshold), then the symbol point is determined to be an outlier. The bidirectional spectral quotient signal is then amplitude-limited by removing and / or limiting the amplitude of outliers and / or performing threshold conversion on them, resulting in an amplitude-limited spectral quotient signal. The following explanation uses outlier removal and amplitude limiting as examples:

[0091] The amplitude value of the bidirectional spectral quotient signal exceeds the first amplitude value A. max1 The signal is removed, and the length of the spectral quotient signal after removal is I3. The maximum output amplitude of the bidirectional spectral quotient signal at this time is the second amplitude value A. max2 After applying the amplitude limiter, amplitude normalization is performed to obtain a new bidirectional spectral quotient signal S. in,

[0092]

[0093]

[0094] The i3rd element is calculated as follows:

[0095]

[0096] After repeating the operation on K OFDM symbols, the final amplitude-limited spectral quotient signal is obtained. The amplitude-limited spectral quotient signal is expressed as a sequence v r and v l Formal representation:

[0097] Furthermore, S = KI3 (K is an integer greater than 0);

[0098] The processed signal amplitude fluctuation is within a certain range, thus avoiding excessive deviation between the constellation diagram of the limited-amplitude spectral signal and the ideal constellation diagram.

[0099] Optionally, the target signal includes a target spectral quotient signal and a target spectral quotient error signal;

[0100] The step of extracting features from the amplitude-limited spectral quotient signal to obtain the target signal includes:

[0101] The target spectral quotient signal is obtained by extracting features from the modulus of the amplitude-limited spectral quotient signal.

[0102] The minimum distance of the limited spectral quotient signal is calculated based on the constellation diagram of the limited spectral quotient signal to obtain the target spectral quotient error signal.

[0103] In this embodiment of the invention, the final acquired target signal is described. Modulus-based processing and error calculation are performed on the amplitude-limited spectral quotient signal to obtain the target spectral quotient signal and the target spectral quotient error signal. The two target signals are defined with corresponding spectral quotient constellation symbols according to different modulation formats. These two channel-robust signal representation methods facilitate conversion to other robust signal representations during subsequent signal preprocessing. This is beneficial for subsequent extraction of moment features of different orders and combinations, and for suppressing channel interference.

[0104] Optionally, the minimum distance of the limited spectral quotient signal is calculated based on the constellation diagram of the limited spectral quotient signal to obtain the target spectral quotient error signal, including:

[0105] Quadrature amplitude modulation (QAM) is applied to the constellation diagram of the amplitude-limited spectral quotient signal to generate a spectral quotient constellation diagram;

[0106] The minimum Euclidean distance is calculated between the limited spectral quotient signal and the symbol points in the spectral quotient constellation diagram to obtain the target spectral quotient error signal.

[0107] In this embodiment of the invention, the specific method for obtaining the target spectral quotient error signal is described. A spectral quotient constellation diagram of the amplitude-limited spectral quotient signal is generated through quadrature amplitude modulation (M-QAM), and the minimum Euclidean distance is calculated for the symbol points in the spectral quotient constellation diagram to obtain the target spectral quotient error signal. In this embodiment of the invention, the symbol concept of the spectral quotient constellation diagram is defined as follows: Let the set of symbols of the constellation diagram under multilevel quadrature amplitude modulation (M-QAM) be Q = {q1, q2, ..., q...} m ,q M}, where q m If it is a complex number, then a two-dimensional space D = {(q1, q2)} can be generated. Let f: D → P define a bivariate function:

[0108] Where P is the set of spectral quotient constellation diagram symbols of M-QAM, p∈P, and to accurately describe the accuracy measure of the spectral quotient signal within its constellation diagram, p is defined. r and p l It is the vector obtained by performing the least Euclidean distance between each spectral quotient signal and the spectral quotient constellation symbol P, where the nth element P is... r (n) and P l (n) are respectively: P r (n)=argmin p∈P |v r (n)-p|;P l (n)=argmin p∈P |v l(n)-p|;

[0109] Then the error vector e of the spectral quotient constellation diagram r and e l e r =v r -P r ;e l =v l -P l ;

[0110] Target spectral quotient error signal and for:

[0111] It should be noted that, as Figure 2 and Figure 3 As shown in the spectral quotient constellation diagram, the spectral quotient constellation diagrams generated under Quadrature Phase Shift Keying (QPSK) and M-QAM formats can be visually observed. In this embodiment, the spectral quotient constellation diagram symbols are conversions of M-QAM symbols, without introducing new error losses. The variation between the spectral quotient signal and the spectral quotient constellation diagram symbols can be attributed to the mixed effects of transmitter impairment and interference. Figure 2 The QPSK spectral quotient constellation diagram in this embodiment is an ideal constellation diagram, which can be used to extract errors caused by equipment impairment in the spectral quotient signal. Therefore, the method described in this embodiment will not affect subsequent feature extraction and can suppress rapidly changing unknown channel effects.

[0112] like Figure 4 As shown, this embodiment of the invention also provides a channel interference suppression device, comprising:

[0113] The first acquisition module 401 is used to acquire the first signal transmitted by the signal transmitting device in the wireless communication system based on the channel.

[0114] The first processing module 402 is used to perform shift and division processing on the first signal to obtain a bidirectional spectral quotient signal;

[0115] The second processing module 403 is used to perform outlier processing on the bidirectional spectral quotient signal to obtain a limited spectral quotient signal.

[0116] The feature extraction module 404 is used to extract features from the amplitude-limited spectral quotient signal to obtain the target signal.

[0117] Optionally, the first processing module 402 includes:

[0118] The first acquisition unit is used to acquire the initial frequency domain sequence and the initial data subcarrier index of the first signal;

[0119] The first processing unit is used to perform a Fourier transform on the initial frequency domain sequence to generate a target frequency domain sequence;

[0120] The second processing unit is used to perform shift and division processing on the target frequency domain sequence and the initial data subcarrier index to obtain a bidirectional spectral quotient signal.

[0121] Optionally, the second processing unit includes:

[0122] The third processing unit is used to perform a left cyclic circular shift calculation on the initial data subcarrier index to generate the first data subcarrier index.

[0123] The fourth processing unit is used to perform a division calculation on the target frequency domain sequence based on the initial data subcarrier index and the first data subcarrier index to generate a left-directed spectral quotient signal;

[0124] The fifth processing unit is used to perform a right cyclic circular shift calculation on the initial data subcarrier index to generate a second data subcarrier index;

[0125] The sixth processing unit is used to perform a division calculation on the target frequency domain sequence based on the initial data subcarrier index and the second data subcarrier index to generate a right-directed spectral quotient signal;

[0126] The second acquisition unit is used to obtain a bidirectional spectral quotient signal based on the left-direction spectral quotient signal and the right-direction spectral quotient signal.

[0127] Optionally, the bidirectional spectral quotient signal obtained by the first processing module 402 includes:

[0128] First-order bidirectional spectral quotient signal or Q-order bidirectional spectral quotient signal;

[0129] Wherein, the first-order bidirectional spectral quotient signal is obtained by performing a shift and division process on the first signal once, and the Q-order bidirectional spectral quotient signal is obtained by performing a shift and division process on the first signal Q times, where Q is an integer greater than 1.

[0130] Optionally, the second processing module 403 includes:

[0131] The third acquisition unit is used to acquire the position coordinates of the symbol points on the constellation diagram of the bidirectional spectral quotient signal and the position coordinates of the ideal points corresponding to the symbol points;

[0132] The first determining unit is used to determine the symbol points whose distance from the ideal point is greater than a first threshold as outliers based on the position coordinates of the symbol points and the ideal point.

[0133] The seventh processing unit is used to screen out and / or limit the amplitude of the outliers to obtain the amplitude-limited spectral quotient signal.

[0134] Optionally, the target signal obtained by the feature extraction module 404 includes the target spectral quotient signal and the target spectral quotient error signal;

[0135] The feature extraction module 404 includes:

[0136] The first feature extraction unit is used to extract features by acquiring the modulus value of the amplitude-limited spectral quotient signal to obtain the target spectral quotient signal;

[0137] The second feature extraction unit is used to perform minimum distance calculation on the limited spectral quotient signal based on the constellation diagram of the limited spectral quotient signal to obtain the target spectral quotient error signal.

[0138] Optionally, the second feature extraction unit includes:

[0139] The eighth processing unit is used to perform quadrature amplitude modulation (QAM) on the constellation diagram of the amplitude-limited spectral quotient signal to generate a spectral quotient constellation diagram;

[0140] The ninth processing unit is used to calculate the minimum Euclidean distance between the amplitude-limited spectral quotient signal and the symbol points in the spectral quotient constellation diagram to obtain the target spectral quotient error signal.

[0141] It should be noted that the embodiments of this device are devices corresponding to the embodiments of the above methods. All implementations in the embodiments of the above methods are applicable to the embodiments of this device and can achieve the same technical effect.

[0142] This invention also provides a network device, including: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the channel interference suppression method as described in any of the preceding claims.

[0143] This invention also provides a readable storage medium, comprising: a program stored on the readable storage medium, wherein when the program is executed by a processor, it implements the steps of the channel interference suppression method as described in any of the preceding claims.

[0144] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0145] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A channel interference suppression method, characterized in that, include: Acquire the first signal transmitted by the signal transmitting device in the wireless communication system based on the channel; The first signal is shifted and divided to obtain a bidirectional spectral quotient signal; Outlier point processing is performed on the bidirectional spectral quotient signal to obtain a limited spectral quotient signal; Feature extraction is performed on the amplitude-limited spectral quotient signal to obtain the target signal; The step of performing shift-and-divide processing on the first signal to obtain a bidirectional spectral quotient signal includes: Obtain the initial frequency domain sequence and initial data subcarrier index of the first signal; Perform a Fourier transform on the initial frequency domain sequence to generate the target frequency domain sequence; The target frequency domain sequence and the initial data subcarrier index are subjected to shift and division processing to obtain a bidirectional spectral quotient signal; The step of performing shift-and-divide processing on the target frequency domain sequence and the initial data subcarrier index to obtain a bidirectional spectral quotient signal includes: Perform a left circular shift calculation on the initial data subcarrier index to generate the first data subcarrier index; Based on the initial data subcarrier index and the first data subcarrier index, the target frequency domain sequence is divided to generate a left-directed spectral quotient signal. Perform a right circular shift calculation on the initial data subcarrier index to generate a second data subcarrier index; Based on the initial data subcarrier index and the second data subcarrier index, the target frequency domain sequence is divided to generate a right-directed spectral quotient signal. Based on the left-direction spectral quotient signal and the right-direction spectral quotient signal, a bidirectional spectral quotient signal is obtained; The step of performing outlier processing on the bidirectional spectral quotient signal to obtain the amplitude-limited spectral quotient signal includes: Obtain the position coordinates of the symbol points on the constellation diagram of the bidirectional spectral quotient signal and the position coordinates of the ideal points corresponding to the symbol points; Based on the position coordinates of the symbol point and the ideal point, the symbol point whose distance from the ideal point is greater than a first threshold is identified as an outlier. The outliers are screened out and / or amplitude-limited to obtain the amplitude-limited spectral quotient signal; The target signal includes a target spectral quotient signal and a target spectral quotient error signal; The step of extracting features from the amplitude-limited spectral quotient signal to obtain the target signal includes: The target spectral quotient signal is obtained by extracting features from the modulus of the amplitude-limited spectral quotient signal. The minimum distance of the limited spectral quotient signal is calculated based on the constellation diagram of the limited spectral quotient signal to obtain the target spectral quotient error signal.

2. The method according to claim 1, characterized in that, The bidirectional spectral quotient signal includes: First-order bidirectional spectral quotient signal or Q-order bidirectional spectral quotient signal; Wherein, the first-order bidirectional spectral quotient signal is obtained by performing a shift and division process on the first signal once, and the Q-order bidirectional spectral quotient signal is obtained by performing a shift and division process on the first signal Q times, where Q is an integer greater than 1.

3. The method according to claim 1, characterized in that, The minimum distance of the amplitude-limited spectral quotient signal is calculated based on the constellation diagram of the amplitude-limited spectral quotient signal to obtain the target spectral quotient error signal, including: Quadrature amplitude modulation (QAM) is applied to the constellation diagram of the amplitude-limited spectral quotient signal to generate a spectral quotient constellation diagram; The minimum Euclidean distance is calculated between the limited spectral quotient signal and the symbol points in the spectral quotient constellation diagram to obtain the target spectral quotient error signal.

4. A channel interference suppression device, characterized in that, include: The first acquisition module is used to acquire the first signal transmitted by the signal transmitting device in the wireless communication system based on the channel. The first processing module is used to perform shift and division processing on the first signal to obtain a bidirectional spectral quotient signal; The second processing module is used to perform outlier processing on the bidirectional spectral quotient signal to obtain a limited spectral quotient signal. The feature extraction module is used to extract features from the amplitude-limited spectral quotient signal to obtain the target signal; The first processing module includes: The first acquisition unit is used to acquire the initial frequency domain sequence and the initial data subcarrier index of the first signal; The first processing unit is used to perform a Fourier transform on the initial frequency domain sequence to generate a target frequency domain sequence; The second processing unit is used to perform shift and division processing on the target frequency domain sequence and the initial data subcarrier index to obtain a bidirectional spectral quotient signal. The second processing unit includes: The third processing unit is used to perform a left cyclic circular shift calculation on the initial data subcarrier index to generate the first data subcarrier index. The fourth processing unit is used to perform a division calculation on the target frequency domain sequence based on the initial data subcarrier index and the first data subcarrier index to generate a left-directed spectral quotient signal; The fifth processing unit is used to perform a right cyclic circular shift calculation on the initial data subcarrier index to generate a second data subcarrier index; The sixth processing unit is used to perform a division calculation on the target frequency domain sequence based on the initial data subcarrier index and the second data subcarrier index to generate a right-directed spectral quotient signal; The second acquisition unit is used to obtain a bidirectional spectral quotient signal based on the left-direction spectral quotient signal and the right-direction spectral quotient signal; The second processing module includes: The third acquisition unit is used to acquire the position coordinates of the symbol points on the constellation diagram of the bidirectional spectral quotient signal and the position coordinates of the ideal points corresponding to the symbol points; The first determining unit is used to determine the symbol points whose distance from the ideal point is greater than a first threshold as outliers based on the position coordinates of the symbol points and the ideal point. The seventh processing unit is used to screen out and / or limit the amplitude of the outliers to obtain the amplitude-limited spectral quotient signal; The target signal obtained by the feature extraction module includes the target spectral quotient signal and the target spectral quotient error signal; The feature extraction module includes: The first feature extraction unit is used to extract features by acquiring the modulus value of the amplitude-limited spectral quotient signal to obtain the target spectral quotient signal; The second feature extraction unit is used to perform minimum distance calculation on the limited spectral quotient signal based on the constellation diagram of the limited spectral quotient signal to obtain the target spectral quotient error signal.

5. A network device, characterized in that, include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the channel interference suppression method as described in any one of claims 1 to 3.

6. A readable storage medium, characterized in that, include: The readable storage medium stores a program that, when executed by a processor, implements the steps of the channel interference suppression method as described in any one of claims 1 to 3.

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