Anti-interference device and method based on signal space transformation

Abstract

The invention relates to the technical field of signal anti-interference, and provides an anti-interference device and method based on signal space transformation, signals comprise communication signals transmitted by a signal source and interference signals transmitted by an interference source, and the device comprises a receiving module, a matrix estimation module and a signal separation module; wherein the receiving module comprises at least two receiving antennas used for receiving signals and receiving channels, one receiving antenna corresponds to one receiving channel, and each receiving antenna transmits the received signals to the matrix estimation module through the corresponding receiving channel; the matrix estimation module is used for solving a first matrix for separating communication signals and interference signals in the signals, and transmitting the first matrix and the signals to the signal separation module; and the signal separation module is used for separating a communication signal from an interference signal in the signals by using the first matrix. The device is convenient to implement and relatively good in performance.

Description

Technical Field

[0001] The present invention relates to the technical field of signal anti-interference, and more specifically, to an anti-interference device and method based on signal space transformation. Background Art

[0002] In the process of signal propagation, in addition to being polluted by environmental noise, it may also be affected by electromagnetic interference, resulting in poor transmission performance or even interruption. In order to counteract or avoid or reduce the impact of electromagnetic interference on transmission performance, a variety of anti-interference technologies are generally required in communication equipment, such as filtering, shielding, error correction, retransmission, diversity, smart receiving antennas, changing operating frequencies, etc. Since each technology has its scope of application, it may still be difficult to achieve the desired effect when facing complex scenarios and strong interference.

[0003] For signal receivers, external electromagnetic interference is the same as useful signals in time and frequency, and cannot be removed by filtering or other methods; however, they differ in spatial orientation, and spatial processing technology can generally be used to reduce the impact of interference. The spatial processing technology includes directional receiving antennas, beamforming, interference cancellation and other approaches, which can achieve high anti-interference effects under ideal conditions. However, in practical applications, higher prerequisites are often required. For example, the principle of waveform shaping technology is to first multiply the signals received by each receiving antenna by a suitable complex gain, and then add them together, thereby constructing a directional beam, so that its gain in the signal direction is greater, while the gain in the interference direction is very small, that is, the useful signal is screened out from the spatial orientation. Waveform shaping technology has two shortcomings: First, it requires a large number of receiving antennas, resulting in a large cost, volume, and weight; second, it requires the determination of the direction of the signal source and interference source, which is difficult to implement in mobile communications, resulting in poor performance; the principle of interference cancellation technology is to use special measures to extract a signal that contains as little interference as possible as a reference signal, and then use the reference signal to track and copy the interference components in the received signal, and then cancel it out, so as to reduce the interference energy in the received signal, improve the signal-to-interference ratio, and improve the transmission performance. The disadvantage of interference cancellation technology is that it is difficult to obtain a high-quality reference signal, so the performance in many scenarios is not satisfactory.

[0004] In summary, the main disadvantage of existing airspace anti-interference schemes is that they have high requirements for external conditions (number of receiving antennas, reference signals, etc.). This disadvantage limits the implementation effect and application scope of the anti-interference schemes. Summary of the invention

[0005] In order to overcome the defect of the above-mentioned prior art that the number of receiving antennas or reference signals is high, the present invention provides an anti-interference device and method based on signal space transformation, which has a small number of receiving antennas and does not require a signal containing interference components as a reference signal.

[0006] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0007] An anti-interference device based on signal space transformation, wherein the signal includes a communication signal transmitted by a signal source and an interference signal transmitted by an interference source, and the device includes a receiving module, a matrix estimation module, and a signal separation module;

[0008] The receiving module includes at least two receiving antennas and receiving channels for receiving signals, wherein one receiving antenna corresponds to one receiving channel, and each receiving antenna transmits the received signal to the matrix estimation module through the corresponding receiving channel;

[0009] The matrix estimation module is used to solve a first matrix for separating the communication signal and the interference signal in the signal, and transmit the first matrix and the signal to the signal separation module;

[0010] The signal separation module is used to separate the communication signal and the interference signal in the signal by using the first matrix.

[0011] The present invention also proposes an anti-interference method based on signal space transformation, which uses the above-mentioned anti-interference device based on signal space transformation. The method comprises the following steps:

[0012] Utilizing the receiving module to receive a signal, and transmitting the signal to the matrix estimation module, wherein the signal includes a communication signal transmitted by a signal source and an interference signal transmitted by an interference source;

[0013] Using the matrix estimation module to solve a first matrix for separating the communication signal and the interference signal in the signal, and transmitting the first matrix and the signal to a signal separation module;

[0014] The signal separation module uses the first matrix to separate the communication signal from the interference signal in the signal.

[0015] The present invention also proposes a computer device, including a memory and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor executes the steps of the above-mentioned anti-interference method based on signal space transformation.

[0016] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0017] Compared with beamforming technology, the present invention requires at least two receiving antennas, and does not require channel calibration, azimuth angle estimation and other operations, so it is easy to implement; compared with interference cancellation technology, the present invention does not need to try to obtain a high-quality reference signal, and is also applicable under conditions with high signal-to-interference ratio, has better performance, and can improve communication performance in harsh electromagnetic environments, thereby achieving the purposes of increasing communication distance, improving information rate, improving transmission success rate, and reducing the number of retransmissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of the overall structure of the anti-interference device based on signal space transformation proposed in Example 1;

[0019] Figure 2 This is a schematic diagram of the signal structure proposed in Example 1;

[0020] Figure 3 This is a schematic diagram of the signal spectrum proposed in Example 2;

[0021] Figure 4 The constellation diagram before and after the signal anti-interference processing proposed in Example 2;

[0022] Figure 5 This is a principle block diagram of the anti-interference device based on signal space transformation proposed in Example 2. DETAILED DESCRIPTION

[0023] The accompanying drawings are only used for illustrative purposes and should not be construed as limiting the present embodiment;

[0024] In order to better illustrate the present embodiment, some parts in the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0025] It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0026] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0027] Example 1

[0028] This embodiment proposes an anti-interference device based on signal space transformation. Figure 1 Schematic diagram of the overall structure of the anti-interference device based on signal space transformation of this embodiment;

[0029] In this embodiment, an anti-interference device based on signal space transformation is proposed, wherein the signal includes a communication signal transmitted by a signal source and an interference signal transmitted by an interference source, and the device includes a receiving module, a matrix estimation module, and a signal separation module;

[0030] The receiving module includes at least two receiving antennas and receiving channels for receiving signals, wherein one receiving antenna corresponds to one receiving channel, and each receiving antenna transmits the received signal to the matrix estimation module through the corresponding receiving channel;

[0031] The matrix estimation module is used to solve a first matrix for separating the communication signal and the interference signal in the signal, and transmit the first matrix and the signal to the signal separation module;

[0032] The signal separation module is used to separate the communication signal and the interference signal in the signal by using the first matrix.

[0033] In the specific implementation process, compared with the beamforming technology, the present invention only needs to use two receiving antennas at least, and does not need to perform channel calibration, azimuth estimation and other operations, which is easy to implement; compared with the interference cancellation technology, the present invention does not need to try to obtain a high-quality reference signal, and is also applicable under conditions with high signal-to-interference ratio, has better performance, and can improve the communication performance in harsh electromagnetic environments, so as to achieve the purposes of increasing the communication distance, increasing the information rate, increasing the transmission success rate, and reducing the number of retransmissions.

[0034] In an optional embodiment, the communication signal contains a pilot signal;

[0035] The number of receiving antennas is 2;

[0036] The step of solving the first matrix by the matrix estimation module comprises:

[0037] Suppose the communication signal S is transmitted to the matrix estimation module through the first and second receiving channels and becomes a 11 S and a 21 S, the interference signal J is transmitted to the matrix estimation module through the first and second receiving channels and becomes a 12 J and a 22 J, then the signal transmitted to the matrix estimation module is represented as the matrix R D , the matrix R D The expressions include:

[0038]

[0039] Wherein, R1 and R2 represent the signals transmitted to the matrix estimation module through the first and second receiving channels respectively, n1 represents the noise corresponding to the signal R1, and n2 represents the noise corresponding to the signal R2; A represents the gain matrix;

[0040] The first matrix is ​​solved based on the gain matrix A, and a matrix obtained by left-multiplying the first matrix by the gain matrix A is a diagonal matrix.

[0041] In an optional embodiment, the first matrix includes: the inverse matrix of any elementary transformation matrix of the gain matrix A.

[0042] In an optional embodiment, an expression of one of the elementary transformation matrices R of the gain matrix A includes:

[0043]

[0044] b 11 =γ1,b 21 =γ2,b 12 =1

[0045]

[0046] Wherein, P(k) represents the pilot signal; R1p(k) represents the remaining signal after the pilot signal P(k) is taken out from the signal R1, γ1 represents the projection coefficient of the pilot signal P(k) on the R1p(k) signal space, R2p(k) represents the remaining signal after the pilot signal P(k) is taken out from the signal R2, γ2 represents the projection coefficient of the pilot signal P(k) on the R2p(k) signal space, M represents the length of the pilot signal P(k), k represents the pilot signal length independent variable; * represents the transposed symbol.

[0047] In an optional embodiment, the expression of one of the elementary transformation matrices B of the gain matrix A includes:

[0048]

[0049] b 11 =γ1,b 21 =γ2,b 22 =1

[0050]

[0051] Wherein, P(k) represents the pilot signal; R1p(k) represents the remaining signal after the pilot signal P(k) is taken out from the signal R1, γ1 represents the projection coefficient of the pilot signal P(k) on the R1p(k) signal space, R2p(k) represents the remaining signal after the pilot signal P(k) is taken out from the signal R2, γ2 represents the projection coefficient of the pilot signal P(k) on the R2p(k) signal space, M represents the length of the pilot signal P(k), k represents the pilot signal length independent variable; * represents the transposed symbol.

[0052] In an optional embodiment, the communication signal contains a pilot signal;

[0053] The number of receiving antennas is greater than 2;

[0054] The step of solving the first matrix by the matrix estimation module comprises:

[0055] Suppose the communication signal S is transmitted to the matrix estimation module through the dth receiving channel and becomes a d1 S, the interference signal J is transmitted to the matrix estimation module through the dth receiving channel and becomes a d2 J, then the signal transmitted to the matrix estimation module is represented as the matrix R D , the matrix R D The expressions include:

[0056]

[0057]

[0058] Where Rd represents the signal transmitted to the matrix estimation module through the dth receiving channel, RD represents the signal transmitted to the matrix estimation module through the Dth receiving channel, where D represents the total number of receiving channels and also the total number of receiving antennas, n d represents the noise corresponding to the signal Rd; A represents the gain matrix;

[0059] The first matrix is ​​solved based on the gain matrix A. In a matrix obtained by left-multiplying the first matrix by the gain matrix A, only the first row and first column elements and the second row and second column elements are non-zero elements.

[0060] As an exemplary description, this application only describes the number of receiving antennas, and the number of transmitting antennas is set according to actual needs.

[0061] As an exemplary explanation, if the first matrix needs to be a square matrix, the gain matrix A is filled with 0 elements to be a square matrix of d rows and d columns, and the first matrix is ​​solved based on the square matrix. In the matrix obtained by left multiplying the first matrix by the gain matrix A, only the elements in the first row and first column and the elements in the second row and second column are non-zero elements.

[0062] In an optional embodiment, the signal separation module uses the first matrix to separate the communication signal and the interference signal in the signal by calculating the following steps:

[0063] When the number of the receiving antennas is 2, the signal received by the signal separation module is represented in the form of a matrix, and the matrix R is obtained. D , and let the matrix R D Multiply left by the first matrix B -1 , and obtain the second matrix R', the expression of the second matrix R' includes:

[0064]

[0065] Wherein, R1 represents the signal transmitted to the signal separation module through the matrix estimation module after passing through the first receiving channel, R2 represents the signal transmitted to the signal separation module through the matrix estimation module after passing through the second receiving channel, c1 and c2 are both constants; n1 represents the noise corresponding to the signal R1, n2 represents the noise corresponding to the signal R2; S represents the communication signal, and J represents the interference signal;

[0066] The signal separation module regards the first row of the second matrix R" as a communication signal and the second row of the second matrix R" as an interference signal.

[0067] In an optional embodiment, the signal separation module uses the first matrix to separate the communication signal and the interference signal in the signal by calculating the following steps:

[0068] When the number of the receiving antennas is greater than 2, the signals received by the signal separation module are represented in the form of a matrix to obtain the matrix R D , and let the matrix R D Multiply left by the first matrix B -1 , and obtain the second matrix R', the expression of the second matrix R' includes:

[0069]

[0070] Where Rd represents the signal transmitted to the signal separation module through the matrix estimation module after passing through the dth receiving channel, D represents the total number of receiving channels and the total number of receiving antennas, c1 and c2 are both constants; the 3rd to Dth rows of R'' are all 0 elements; n d represents the noise corresponding to the signal Rd; S represents the communication signal, and J represents the interference signal;

[0071] Among them, the signal separation module regards the first row of the second matrix R" as a communication signal, the second row of the second matrix R" as an interference signal, and the third to Dth rows of the second matrix R" as invalid signals.

[0072] Example 2

[0073] This embodiment is based on the anti-interference device based on signal space transformation proposed in Embodiment 1, and proposes the following specific implementation examples:

[0074] The main disadvantage of existing spatial anti-interference solutions is that they have high requirements for external conditions (number of receiving antennas, reference signals, etc.), which limits their implementation effect and scope of application. The present invention proposes a new anti-interference method based on the idea of ​​signal space transformation. The implementation device is located in the communication receiver and uses two receiving antennas to obtain two mixed signals R1 and R2 that simultaneously contain the service signal S and interference J and noise n. Then, in the signal processing module, through matrix estimation, signal separation and other methods, S and J in R1 and R2 are split into two signals that do not contain each other, thereby achieving the purpose of anti-interference.

[0075] like Figure 1 As shown, the anti-interference device of this embodiment is mainly composed of a receiving module consisting of a receiving channel 1 and a receiving antenna 1, a receiving channel 2 and a receiving antenna 2, as well as basic modules such as a matrix estimation module and a signal separation module.

[0076] The signal source generates a communication signal S, which carries business information and is useful to the receiver. After the signal S propagates through space, it is divided into two parts with gain a and b. 11 、a 21 Arrives at receiving antenna 1 and receiving antenna 2.

[0077] The interference source generates hostile or unintentional interference J, which is harmful to the receiver and needs to be eliminated as much as possible. After the interference J propagates through space, it is divided into gain a and 12 、a 22 Arrives at receiving antenna 1 and receiving antenna 2.

[0078] The receiving antenna simultaneously receives the mixed signal containing S and J. After passing through the receiving channel, the output baseband receiving signals R1 and R2 are expressed as:

[0079]

[0080] Among them, n1 and n2 are noises.

[0081] For simplicity, the RF signal and the corresponding baseband signal obtained by down-conversion through the receiving channel are both represented by the same S and J.

[0082] Rewrite equation (1) into matrix form:

[0083]

[0084] in, It is called the mixing matrix of the signal; is called the noise vector.

[0085] When the two receiving antennas are far enough apart, the two rows of the mixing matrix A are approximately independent of each other and A is full rank.

[0086] The basic idea of ​​the present invention is that if A is known, then S and J can be distinguished by simply multiplying both sides of equation (2) by the inverse matrix of A, that is,

[0087]

[0088] The first row of (3) is S and noise, and the second row is J and noise. At this time, only the first row needs to be taken out to complete the anti-interference function.

[0089] But the reality is that it is very difficult to estimate A without knowing the contents of S and J.

[0090] The present invention proposes an alternative solution, by obtaining a certain elementary transformation matrix of A After the inverse matrix of B is multiplied by A on the left, it can be diagonalized, thereby also being able to achieve the separation of S and J.

[0091] In the communication signal S, a short pilot signal P is usually carried periodically to assist demodulation. Figure 2 This is a schematic diagram of the signal structure proposed in this embodiment, such as Figure 2 As shown, the pilot signal P is known to the receiver. The present invention uses the pilot signal P to obtain the matrix B.

[0092] The anti-interference process of this embodiment is composed of the following main steps 1 to 6.

[0093] Step 1, find the location of the pilot signal P in the received signals R1 and R2 and extract the signal segment; for some systems, the pilot signal P and its location are known in advance, so they can be directly extracted and recorded as R1p and R2p; otherwise, they can be found by performing cross-correlation operations on the local pilot signal and R1 and R2.

[0094] Step 2, calculate the projection coefficient γ; respectively calculate the projection coefficients γ1 and γ2 of the local pilot signal on the R1p and R2p signal spaces; let b 11 =γ1,b 21 =γ2.

[0095] Step 3, remove the pilot signal; remove the pilot signal in R1p and R2p, that is, the following operations:

[0096]

[0097] Step 4: Estimate b 22 ,Right now:

[0098]

[0099] Wherein, M is the length of the pilot signal P.

[0100] Step 5, let b 12 =1, and find the inverse matrix B of B -1 .

[0101] Step 6: Signal separation, extract the useful signal S; multiply both sides of equation (2) by the inverse matrix B -1 ,have

[0102]

[0103] Among them, c1 and c2 are constants related to A and B.

[0104] The first line of formula (6) is taken out as the output signal of the anti-interference module and sent to the subsequent receiver processing module, and the anti-interference processing flow ends.

[0105] Among them, the same effect can be achieved by modifying steps 4 to 5 into the following form:

[0106] Step 4: Estimate b 12 :

[0107]

[0108] Step 5, let b 22 =1, and find the inverse matrix B of B -1 .

[0109] This embodiment also provides a performance example of the anti-interference device. Figure 3 This is a schematic diagram of the signal spectrum proposed in this embodiment. Figure 3 The spectrum of signal S (16QAM modulation), interference J and received signal R1 is shown.

[0110] Figure 4 This is the constellation diagram before and after the signal anti-interference processing proposed in this embodiment. Figure 4 The constellation diagram of the signal before and after anti-interference processing is shown.

[0111] Figure 5 is a principle block diagram of the anti-interference device based on signal space transformation proposed in this embodiment, Figure 5 The anti-interference principle of the anti-interference device of this embodiment is demonstrated.

[0112] Example 3

[0113] This embodiment proposes an anti-interference method based on signal space transformation, and applies an anti-interference device based on signal space transformation proposed in Embodiment 1.

[0114] The anti-interference method based on signal space transformation comprises the following steps:

[0115] S1: using the receiving module to receive a signal, and transmitting the signal to the matrix estimation module, wherein the signal includes a communication signal transmitted by a signal source and an interference signal transmitted by an interference source;

[0116] S2: using the matrix estimation module to solve a first matrix for separating the communication signal and the interference signal in the signal, and transmitting the first matrix and the signal to a signal separation module;

[0117] S3: Based on the signal separation module, use the first matrix to separate the communication signal and the interference signal in the signal.

[0118] This embodiment proposes a computer device, including a memory and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor executes the steps of the anti-interference method based on signal space transformation described in this embodiment.

[0119] It can be understood that the anti-interference method based on signal space transformation in this embodiment applies the device of Example 1, and the options in the above-mentioned Example 1 are also applicable to this embodiment, so they will not be described repeatedly here.

[0120] The same or similar reference numerals correspond to the same or similar components;

[0121] The terms used to describe the positional relationship in the drawings are only used for illustrative purposes and should not be construed as limiting the present embodiment;

[0122] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the embodiments here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. An anti-interference device based on signal space transformation, wherein the signal includes a communication signal emitted by a signal source and an interference signal emitted by an interference source, characterized in that: It includes a receiving module, a matrix estimation module and a signal separation module; The receiving module includes at least two receiving antennas and receiving channels for receiving signals, wherein one receiving antenna corresponds to one receiving channel, and each receiving antenna transmits the received signal to the matrix estimation module through the corresponding receiving channel; The matrix estimation module is used to solve a first matrix for separating the communication signal and the interference signal in the signal, and transmit the first matrix and the signal to the signal separation module; The signal separation module is used to separate the communication signal and the interference signal in the signal by using the first matrix.

2. The anti-interference device based on signal space transformation according to claim 1, characterized in that: The communication signal contains a pilot signal; The number of receiving antennas is 2; The step of solving the first matrix by the matrix estimation module comprises: Suppose the communication signal S is transmitted to the matrix estimation module through the first and second receiving channels and becomes a 11 S and a 21 S, the interference signal J is transmitted to the matrix estimation module through the first and second receiving channels and becomes a 12 J and a 22 J, then the signal transmitted to the matrix estimation module is represented as the matrix R D , the matrix R D The expressions include: Wherein, R1 and R2 represent the signals transmitted to the matrix estimation module through the first and second receiving channels respectively, n1 represents the noise corresponding to the signal R1, and n2 represents the noise corresponding to the signal R2; A represents the gain matrix; The first matrix is ​​solved based on the gain matrix A, and a matrix obtained by left-multiplying the first matrix by the gain matrix A is a diagonal matrix.

3. The anti-interference device based on signal space transformation according to claim 2 is characterized in that: The first matrix includes: the inverse matrix of any elementary transformation matrix of the gain matrix A.

4. The anti-interference device based on signal space transformation according to claim 3 is characterized in that: The expression of one of the elementary transformation matrices B of the gain matrix A includes: b 11 =γ1,b 21 =γ2,b 12 =1 Wherein, P(k) represents the pilot signal; R1p(k) represents the remaining signal after the pilot signal P(k) is taken out from the signal R1, γ1 represents the projection coefficient of the pilot signal P(k) on the R1p(k) signal space, R2p(k) represents the remaining signal after the pilot signal P(k) is taken out from the signal R2, γ2 represents the projection coefficient of the pilot signal P(k) on the R2p(k) signal space, M represents the length of the pilot signal P(k), k represents the pilot signal length independent variable; * represents the transposed symbol.

5. The anti-interference device based on signal space transformation according to claim 3 is characterized in that: The expression of one of the elementary transformation matrices B of the gain matrix A includes: b 11 =γ1,b 21 =γ2,b 22 =1 Wherein, P(k) represents the pilot signal; R1p(k) represents the remaining signal after the pilot signal P(k) is taken out from the signal R1, γ1 represents the projection coefficient of the pilot signal P(k) on the R1p(k) signal space, R2p(k) represents the remaining signal after the pilot signal P(k) is taken out from the signal R2, γ2 represents the projection coefficient of the pilot signal P(k) on the R2p(k) signal space, M represents the length of the pilot signal P(k), k represents the pilot signal length independent variable; * represents the transposed symbol.

6. The anti-interference device based on signal space transformation according to claim 1, characterized in that: The communication signal contains a pilot signal; The number of the receiving antennas is greater than 2; The step of solving the first matrix by the matrix estimation module comprises: Suppose the communication signal S is transmitted to the matrix estimation module through the dth receiving channel and becomes a d1 S, the interference signal J is transmitted to the matrix estimation module through the dth receiving channel and becomes a d2 J, then the signal transmitted to the matrix estimation module is represented as the matrix R D , the matrix R D The expressions include: Where Rd represents the signal transmitted to the matrix estimation module through the dth receiving channel, RD represents the signal transmitted to the matrix estimation module through the Dth receiving channel, where D represents the total number of receiving channels and also the total number of receiving antennas, n d represents the noise corresponding to the signal Rd; A represents the gain matrix; The first matrix is ​​solved based on the gain matrix A. In a matrix obtained by left-multiplying the first matrix by the gain matrix A, only the first row and first column elements and the second row and second column elements are non-zero elements.

7. The anti-interference device based on signal space transformation according to any one of claims 1 to 6, characterized in that: The signal separation module uses the first matrix to separate the communication signal from the interference signal in the signal, and the calculation steps include: When the number of the receiving antennas is 2, the signal received by the signal separation module is represented in the form of a matrix, and the matrix R is obtained. D , and let the matrix R D Multiply left by the first matrix B -1 , and obtain the second matrix R', the expression of the second matrix R' includes: Wherein, R1 represents the signal transmitted to the signal separation module through the matrix estimation module after passing through the first receiving channel, R2 represents the signal transmitted to the signal separation module through the matrix estimation module after passing through the second receiving channel, c1 and c2 are both constants; n1 represents the noise corresponding to the signal R1, n2 represents the noise corresponding to the signal R2; S represents the communication signal, and J represents the interference signal; The signal separation module regards the first row of the second matrix R" as a communication signal and the second row of the second matrix R" as an interference signal.

8. The anti-interference device based on signal space transformation according to any one of claims 1 to 6, characterized in that: The signal separation module uses the first matrix to separate the communication signal from the interference signal in the signal, and the calculation steps include: When the number of the receiving antennas is greater than 2, the signals received by the signal separation module are represented in the form of a matrix to obtain the matrix R D , and let the matrix R D Multiply left by the first matrix B -1 , and obtain the second matrix R', the expression of the second matrix R' includes: Where Rd represents the signal transmitted to the signal separation module through the matrix estimation module after passing through the dth receiving channel, D represents the total number of receiving channels and the total number of receiving antennas, c1 and c2 are both constants; the 3rd to Dth rows of R'' are all 0 elements; n d represents the noise corresponding to the signal Rd; S represents the communication signal, and J represents the interference signal; Among them, the signal separation module regards the first row of the second matrix R" as a communication signal, the second row of the second matrix R" as an interference signal, and the third to Dth rows of the second matrix R" as invalid signals.

9. An anti-interference method based on signal space transformation, using the anti-interference device based on signal space transformation according to any one of claims 1 to 8, characterized in that: The following steps are involved: Utilizing the receiving module to receive a signal, and transmitting the signal to the matrix estimation module, wherein the signal includes a communication signal transmitted by a signal source and an interference signal transmitted by an interference source; Using the matrix estimation module to solve a first matrix for separating the communication signal and the interference signal in the signal, and transmitting the first matrix and the signal to a signal separation module; The signal separation module uses the first matrix to separate the communication signal from the interference signal in the signal.

10. A computer device comprising a memory and a processor, wherein the memory stores computer-readable instructions, characterized in that: When the computer-readable instructions are executed by the processor, the processor performs the steps of the anti-interference method based on signal space transformation as claimed in claim 9.

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