An anti-interference device and method based on signal space transformation

Abstract

The application relates to the technical field of signal anti-interference, and proposes an anti-interference device and method based on signal space transformation, wherein the signal comprises a communication signal emitted by a signal source and an interference signal emitted by an interference source, 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 and receiving channels for receiving signals, 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 for solving a first matrix which can separate the communication signal and the interference signal in the signal, and the first matrix and the signal are transmitted to the signal separation module; the signal separation module is used for separating the communication signal and the interference signal in the signal by using the first matrix, and the device is convenient to realize and has better performance.

Description

Technical Field

[0001] This invention relates to the technical field of signal anti-interference, and more specifically, to an anti-interference device and method based on signal spatial transformation. Background Technology

[0002] During signal propagation, in addition to environmental noise pollution, electromagnetic interference can also affect transmission performance, leading to degraded or even interrupted transmission. To combat, avoid, or mitigate the impact of electromagnetic interference on transmission performance, communication equipment typically employs various anti-interference techniques, such as filtering, shielding, error correction, retransmission, diversity, smart receiving antennas, and frequency modulation. However, since each technique has its applicable scope, it may still be difficult to achieve the desired results in complex scenarios and under strong interference.

[0003] For signal receivers, external electromagnetic interference is identical to the useful signal in time and frequency, and cannot be removed by filtering or other methods. However, they differ in spatial orientation, and spatial processing techniques can generally be used to reduce the impact of interference. These techniques include directional receiving antennas, beamforming, and interference cancellation. Under ideal conditions, these methods can achieve high anti-interference effects. However, in practical applications, high preconditions are often required. For example, the principle of waveform shaping is to multiply the signals received by each receiving antenna by an appropriate complex gain and then add them together, thereby constructing a directional beam with greater gain in the signal direction and very little gain in the interference direction, thus filtering out the useful signal from its spatial orientation. Waveform shaping technology has two main drawbacks: first, it requires a large number of receiving antennas, leading to increased cost, size, and weight; second, it necessitates determining the direction of both the signal and interference sources, which is challenging to implement in mobile communications, resulting in poor performance. Interference cancellation technology works by extracting a signal containing only interference components as a reference signal using special methods. This reference signal is then used to track and replicate the interference components in the received signal, and finally cancels them out, thereby reducing the interference energy in the received signal, improving the signal-to-interference ratio, and enhancing transmission performance. The disadvantage of interference cancellation technology is the difficulty in obtaining a high-quality reference signal, resulting in less than satisfactory performance in many scenarios.

[0004] In summary, the main drawback of existing airspace anti-interference schemes is their high requirements for external conditions (number of receiving antennas, reference signals, etc.), which limits the effectiveness and application scope of the anti-interference schemes. Summary of the Invention

[0005] To overcome the shortcomings of the prior art, which has high requirements for the number of receiving antennas or reference signals, the present invention provides an anti-interference device and method based on signal space transformation that requires fewer receiving antennas and does not need to use a signal containing interference components as a reference signal.

[0006] To solve the above-mentioned 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 emitted by a signal source and an interference signal emitted 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. Each 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 for a first matrix that separates the communication signal and the interference signal in the signal, and transmits 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 using the first matrix.

[0011] This invention also proposes an anti-interference method based on signal space transformation, applying the aforementioned anti-interference device based on signal space transformation. The method includes the following steps:

[0012] The receiving module receives a signal and transmits the signal to the matrix estimation module, wherein the signal includes a communication signal emitted by a signal source and an interference signal emitted by an interference source;

[0013] The matrix estimation module is used to solve for the first matrix that separates the communication signal and the interference signal in the signal, and the first matrix and the signal are transmitted to the signal separation module.

[0014] The signal separation module uses the first matrix to separate the communication signal and 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 performs the steps of the above-described anti-interference method based on signal space transformation.

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

[0017] Compared with beamforming technology, this invention requires only two receiving antennas at most, and does not require channel calibration, azimuth estimation and other operations, making it easy to implement. Compared with interference cancellation technology, this invention does not require obtaining a high-quality reference signal, and is also applicable under conditions of high signal-to-interference ratio. It has better performance and can improve communication performance in harsh electromagnetic environments, thereby increasing communication distance, improving information rate, increasing transmission success rate and reducing retransmissions. Attached Figure Description

[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 diagrams before and after the signal anti-interference processing proposed in Example 2 are shown.

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

[0023] The accompanying drawings are for illustrative purposes only and should not be construed as limiting the scope of this embodiment.

[0024] To better illustrate this embodiment, some parts in the accompanying drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions;

[0025] It will be understood by those skilled in the art that certain well-known structures and their descriptions may be omitted in the accompanying drawings.

[0026] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0027] Example 1

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

[0029] This embodiment proposes an anti-interference device based on signal spatial transformation. The signal includes a communication signal emitted by a signal source and an interference signal emitted by an interference source. 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. Each 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 for a first matrix that separates the communication signal and the interference signal in the signal, and transmits 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 using the first matrix.

[0033] In practical implementation, compared with beamforming technology, this invention requires only two receiving antennas at most, and does not require channel calibration, azimuth estimation and other operations, making it easy to implement; compared with interference cancellation technology, this invention does not require obtaining a high-quality reference signal, and is also applicable under conditions of high signal-to-interference ratio, with better performance, and can improve communication performance in harsh electromagnetic environments, thereby increasing communication distance, improving information rate, increasing transmission success rate and reducing retransmissions.

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

[0035] The number of receiving antennas is 2;

[0036] The steps for the matrix estimation module to solve the first matrix include:

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

[0038]

[0039] In the formula, 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 signal R1; n2 represents the noise corresponding to signal R2; and A represents the gain matrix.

[0040] The first matrix is ​​solved based on the gain matrix A, and the 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, the expression for 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] In the formula, P(k) represents the pilot signal; R1p(k) represents the signal remaining after extracting the pilot signal P(k) from signal R1; γ1 represents the projection coefficient of the pilot signal P(k) in the signal space of R1p(k); R2p(k) represents the signal remaining after extracting the pilot signal P(k) from signal R2; γ2 represents the projection coefficient of the pilot signal P(k) in the signal space of R2p(k); M represents the length of the pilot signal P(k); k represents the length of the pilot signal; * represents the transpose symbol.

[0047] In an optional embodiment, the expression for 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] In the formula, P(k) represents the pilot signal; R1p(k) represents the signal remaining after extracting the pilot signal P(k) from signal R1; γ1 represents the projection coefficient of the pilot signal P(k) in the signal space of R1p(k); R2p(k) represents the signal remaining after extracting the pilot signal P(k) from signal R2; γ2 represents the projection coefficient of the pilot signal P(k) in the signal space of R2p(k); M represents the length of the pilot signal P(k); k represents the length of the pilot signal; * represents the transpose symbol.

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

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

[0054] The steps for the matrix estimation module to solve the first matrix include:

[0055] Suppose that the communication signal S becomes a after being transmitted to the matrix estimation module through the d-th receiving channel. d1 S, the interference signal J becomes a after being transmitted to the matrix estimation module through the d-th receiving channel. d2 J, then, the signal transmitted to the matrix estimation module is represented as matrix R. D Matrix R D The expressions include:

[0056]

[0057]

[0058] In the formula, Rd represents the signal transmitted to the matrix estimation module through the d-th receiving channel, RD represents the signal transmitted to the matrix estimation module through the D-th receiving channel, where D represents the total number of receiving channels and also the total number of receiving antennas, and n... d Represents the noise corresponding to signal Rd; A represents the gain matrix;

[0059] The first matrix is ​​solved based on the gain matrix A. 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.

[0060] As an example, this application only illustrates the number of receiving antennas; the number of transmitting antennas is set according to actual needs.

[0061] As an example, if the first matrix needs to be a square matrix, the gain matrix A is filled with d rows and d columns using 0 elements. The first matrix is ​​then solved based on the square matrix. In the 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.

[0062] In an optional embodiment, the calculation step of the signal separation module separating the communication signal and the interference signal in the signal using the first matrix includes:

[0063] When the number of receiving antennas is 2, the signal received by the signal separation module is represented in matrix form, resulting in matrix R. D And make the matrix R D Left multiply by the first matrix B -1 The expression for the second matrix R is obtained as follows:

[0064]

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

[0066] The signal separation module treats 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 calculation step of the signal separation module separating the communication signal and the interference signal in the signal using the first matrix includes:

[0068] When the number of receiving antennas is greater than 2, the signal received by the signal separation module is represented in matrix form, resulting in matrix R. D And make the matrix R D Left multiply by the first matrix B -1 The expression for the second matrix R is obtained as follows:

[0069]

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

[0071] Specifically, the signal separation module considers 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 D 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 spatial transformation proposed in Embodiment 1, and provides the following specific implementation examples:

[0074] The high requirements for external conditions (number of receiving antennas, reference signal, etc.) are the main drawback of existing spatial anti-interference schemes, limiting their implementation effectiveness and application scope. This invention proposes a novel anti-interference method based on the concept of signal space transformation. The implementation device is located in the communication receiver, using 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 independent signals, achieving the purpose of anti-interference.

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

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

[0077] Interference sources generate hostile or unintentional interference J, which is harmful to the receiver and needs to be eliminated as much as possible. After propagating through space, the interference J is distributed with gain a. 12 a 22 Arriving at receiving antenna 1 and receiving antenna 2.

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

[0079]

[0080] Where n1 and n2 are noise.

[0081] For simplicity, both the radio frequency signal and the corresponding baseband signal obtained by downconversion through the receiving channel are represented by the same S and J.

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

[0083]

[0084] in, This is called the signal mixing matrix; This 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, and A is full rank.

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

[0087]

[0088] The first row of equation (3) contains S and noise, and the second row contains J and noise. At this point, only the first row needs to be extracted to complete the anti-interference function.

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

[0090] This invention proposes an alternative solution, which involves finding a certain elementary transformation matrix of A. This allows the inverse matrix of B to be diagonalized by multiplying it on the left by A, thus enabling the separation of S and J.

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

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

[0093] Step 1: In the received signals R1 and R2, find the location of the pilot signal P and extract that segment of signal. For some systems, the pilot signal P and its location are known in advance, so they can be extracted directly and denoted as R1p and R2p. Otherwise, it can be found by performing cross-correlation operation between the local pilot signal and R1 and R2.

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

[0095] Step 3, remove the pilot signals; remove the pilot signals in R1p and R2p, as follows:

[0096]

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

[0098]

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

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

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

[0102]

[0103] Where c1 and c2 are constants related to A and B.

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

[0105] The same effect can also be achieved by modifying steps 4 and 5 to the following form:

[0106] Step 4, estimate b 12 :

[0107]

[0108] Step 5, let b 22 =1, and find the inverse matrix 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 diagrams of signal S (16QAM modulation), interference J, and received signal R1 are shown.

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

[0111] Figure 5 This is a block diagram illustrating the principle of the anti-interference device based on signal spatial transformation proposed in this embodiment. Figure 5 This demonstrates the principle of the anti-interference device in this embodiment.

[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 spatial transformation includes the following steps:

[0115] S1: The receiving module receives the signal and transmits the signal to the matrix estimation module, wherein the signal includes a communication signal emitted by a signal source and an interference signal emitted by an interference source;

[0116] S2: Use the matrix estimation module to solve for the first matrix that separates the communication signal and the interference signal in the signal, and transmit the first matrix and the signal to the signal separation module;

[0117] S3: Based on the signal separation module, the communication signal and interference signal in the signal are separated using the first matrix.

[0118] This embodiment proposes a computer device, including a memory and a processor. The memory stores computer-readable instructions. 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 described in this embodiment.

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

[0120] The same or similar labels correspond to the same or similar parts;

[0121] The terms used to describe positional relationships in the accompanying drawings are for illustrative purposes only and should not be construed as limiting the scope of this 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 implementation of the present invention. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. An anti-interference device based on signal spatial 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. Each 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 for a first matrix that separates the communication signal and the interference signal in the signal, and transmits 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 using the first matrix; the communication signal contains a pilot signal; The number of receiving antennas is 2; The steps for the matrix estimation module to solve the first matrix include: Assume communication signal After the first After the first and second receiving channels are transmitted to the matrix estimation module, they become respectively... and Interference signal After the first After the first and second receiving channels are transmitted to the matrix estimation module, they become respectively... and Then, the signal transmitted to the matrix estimation module is represented as a matrix. ,matrix The expressions include: In the formula, and They represent the times after which The signals transmitted to the matrix estimation module by the first and second receiving channels, Indicates signal The corresponding noise, Indicates signal The corresponding noise; Represents the gain matrix; Based on the gain matrix Solve for the first matrix by left-multiplying the first matrix by the gain matrix. The resulting matrix is ​​a diagonal matrix.

2. The anti-interference device based on signal spatial transformation according to claim 1, characterized in that, The first matrix includes: the gain matrix The inverse matrix of any elementary transformation matrix.

3. The anti-interference device based on signal spatial transformation according to claim 2, characterized in that, The gain matrix One of the elementary transformation matrices The expressions include: ， ， In the formula, Indicates the pilot signal; Indicates from signal Extracting pilot signals The remaining signal, Indicates pilot signal exist Projection coefficients in signal space, Indicates from signal Extracting pilot signals The remaining signal, Indicates pilot signal exist Projection coefficients in signal space, Indicates pilot signal Length, The length of the pilot signal is the independent variable. This represents the transpose symbol.

4. The anti-interference device based on signal spatial transformation according to claim 2, characterized in that, The gain matrix One of the elementary transformation matrices The expressions include: ， ， In the formula, Indicates the pilot signal; Indicates from signal Extracting pilot signals The remaining signal, Indicates pilot signal exist Projection coefficients in signal space, Indicates from signal Extracting pilot signals The remaining signal, Indicates pilot signal exist Projection coefficients in signal space, Indicates pilot signal Length, The length of the pilot signal is the independent variable. This represents the transpose symbol.

5. The anti-interference device based on signal spatial transformation according to claim 1, characterized in that, The communication signal contains a pilot signal; The number of receiving antennas is greater than 2; The steps for the matrix estimation module to solve the first matrix include: Assume communication signal After the first After being transmitted through the receiving channels to the matrix estimation module, it becomes... Interference signal After the first After being transmitted through the receiving channels to the matrix estimation module, it becomes... Then, the signal transmitted to the matrix estimation module is represented as a matrix. ,matrix The expressions include: In the formula, Indicates after the first The signals transmitted to the matrix estimation module via each receiving channel Indicates after the first The signals transmitted to the matrix estimation module via each receiving channel, wherein... This indicates the total number of receiving channels, which also represents the total number of receiving antennas. Indicates signal The corresponding noise; Represents the gain matrix; Based on the gain matrix Solve for the first matrix by left-multiplying the first matrix by the gain matrix. In the resulting matrix, only the elements in the first row and first column and the elements in the second row and second column are non-zero elements.

6. An anti-interference device based on signal spatial transformation according to any one of claims 1 to 5, characterized in that, The calculation steps of the signal separation module to separate the communication signal and the interference signal in the signal using the first matrix include: When the number of receiving antennas is 2, the signal received by the signal separation module is represented in matrix form, resulting in a matrix. and make the matrix Left multiply by the first matrix The second matrix is ​​obtained. The second matrix The expressions include: In the formula, This represents the signal transmitted to the signal separation module after passing through the first receiving channel and the matrix estimation module. This indicates the signal that has passed through the matrix estimation module and then been transmitted to the signal separation module after passing through the second receiving channel. and All are constants; Indicates signal The corresponding noise, Indicates signal The corresponding noise; Represents communication signals, Indicates interference signal; The signal separation module will separate the second matrix. The first row is considered as a communication signal, and the second matrix is... The second line is considered an interference signal.

7. An anti-interference device based on signal spatial transformation according to any one of claims 1 to 5, characterized in that, The calculation steps of the signal separation module to separate the communication signal and the interference signal in the signal using the first matrix include: When the number of receiving antennas is greater than 2, the signal received by the signal separation module is represented in matrix form, resulting in a matrix. and make the matrix Left multiply by the first matrix The second matrix is ​​obtained. The second matrix The expressions include: In the formula, Indicates after the first The signal received through each channel is transmitted to the signal separation module via the matrix estimation module. This indicates the total number of receiving channels and also the total number of receiving antennas. and All are constants; The 3rd All rows contain zero elements; Indicates signal The corresponding noise; Represents communication signals, Indicates interference signal; The signal separation module will separate the second matrix. The first row is considered as a communication signal, and the second matrix is... The second row is considered as interference signal, and the second matrix is... The 3rd line to the 4th line The line is considered an invalid signal.

8. An anti-interference method based on signal spatial transformation, employing the anti-interference device based on signal spatial transformation as described in any one of claims 1 to 7, characterized in that, Includes the following steps: The receiving module receives a signal and transmits the signal to the matrix estimation module, wherein the signal includes a communication signal emitted by a signal source and an interference signal emitted by an interference source; The matrix estimation module is used to solve for the first matrix that separates the communication signal and the interference signal in the signal, and the first matrix and the signal are transmitted to the signal separation module. The signal separation module uses the first matrix to separate the communication signal and the interference signal in the signal.

9. 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 described in claim 8.

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