Main lobe interference suppression method, device and electronic equipment based on MIMO linear array

Abstract

The present invention belongs to the field of radar technology, and discloses a main lobe interference suppression method, device and electronic equipment based on MIMO linear array, wherein the method comprises: performing sum and difference beamforming on radar echo data to obtain sum channel and difference channel beamforming data; performing orthogonal matching filtering on sum channel and difference channel beamforming data respectively to obtain sum channel and difference channel pulse compression data separated by transmit dimension degree of freedom; performing LCMV processing on sum channel and difference channel pulse compression data respectively to obtain sum channel and difference channel adaptive weight coefficients; performing main lobe interference suppression processing on sum channel pulse compression data using sum channel adaptive weight coefficients; performing main lobe interference suppression processing on difference channel pulse compression data using difference channel adaptive weight coefficients. The present invention realizes a main lobe interference suppression method with small calculation amount, short time consumption, and applicable to both linear array type and planar array type MIMO radars.

Description

Technical Field

[0001] The present invention belongs to the field of radar technology, and in particular relates to a main lobe interference suppression method, device and electronic equipment based on a MIMO (Multiple-Input Multiple-Output) linear array. Background Art

[0002] MIMO radar is a multiple-transmit multiple-receive radar. Its main feature is that it has multiple transmitting antennas and multiple receiving antennas, and the transmission and reception are operated separately and independently; the advantage of MIMO radar is that it can improve the angular resolution (spatial resolution) of the radar. Main lobe interference refers to the phenomenon that the lobe with the largest radiation intensity in the antenna radiation pattern of the signal transmitted by the radar transmitter interferes with the receiver. Main lobe interference is different from side lobe interference. Side lobe interference can suppress interference signals at the interference angle through adaptive beamforming technology. However, if the same method is used to suppress main lobe interference, because the main lobe interference is too close to the target angle, while suppressing the main lobe interference, it will also reduce the strength of the target signal, which will lead to distortion of the subsequent angle detection curve and inaccurate angle measurement.

[0003] Nowadays, the technology for interference suppression through MIMO radar is mainly to separate the transmit dimension degrees of freedom in the signal by performing multiple pulse compressions on the receive dimension signal, and then adaptively transmit beamforming the results of pulse compression for each channel, and then perform receive dimension sum beamforming on the adaptive transmit beamforming results of each receive channel, and use the single pulse angle measurement method to obtain the target angle. The idea of ​​this method is very simple. The transmit dimension and receive dimension signals can be obtained through basic signal processing, and the target angle can be measured by calculating the angle detection curve of the obtained results. However, this method requires multiple pulse compression operations on the echo data, and then adaptive transmit beamforming is performed on the data. Assuming that the radar's transmitting antenna has The transmitting array elements and the receiving antennas have The number of calculations of this method reaches This causes a large amount of radar resources to be occupied, greatly increases the radar's signal processing time, and increases the radar's burden on processing main lobe interference.

[0004] In addition, the method of suppressing main lobe interference can also use the row-column adaptive beamforming method. The processed data results have a better suppression effect on main lobe interference, but the row-column adaptive beamforming method can only be applied to area array radars and is not applicable to MIMO radars of linear array radars.

[0005] In summary, there is an urgent need for a main lobe interference suppression method that has low computational complexity, short time consumption, and is applicable to both linear and planar MIMO radars. Summary of the invention

[0006] In order to solve the above problems existing in the prior art, the present invention provides a main lobe interference suppression method, device and electronic equipment based on MIMO linear array.

[0007] The technical problem to be solved by the present invention is achieved through the following technical solutions:

[0008] In a first aspect, the present invention provides a main lobe interference suppression method based on a MIMO linear array, comprising:

[0009] Perform sum and difference beamforming on the radar echo data to obtain sum channel beamforming data and difference channel beamforming data; wherein the radar echo data is obtained by the MIMO linear array The transmission signal of the transmitting array element is reflected and obtained. The transmission signals of the transmitting array elements are orthogonal to each other. is an integer greater than 1;

[0010] Performing orthogonal matching filtering on the sum channel beamforming data and the difference channel beamforming data respectively to obtain a pulse compression result after orthogonal matching filtering; the pulse compression result includes the sum channel pulse compression data and the difference channel pulse compression data separated by the transmit dimension degree of freedom;

[0011] Performing LCMV (Linear Constrained Minimum Variance Criterion) processing on the sum channel pulse compression data and the difference channel pulse compression data respectively to obtain a sum channel adaptive weight coefficient and a difference channel adaptive weight coefficient;

[0012] The sum channel pulse compression data is subjected to main lobe interference suppression processing using the sum channel adaptive weight coefficient to obtain the sum channel pulse compression data after main lobe interference suppression; the difference channel pulse compression data is subjected to main lobe interference suppression processing using the difference channel adaptive weight coefficient to obtain the difference channel pulse compression data after main lobe interference suppression.

[0013] Optionally, the method further comprises:

[0014] Performing MTD (moving target detection) processing on the sum channel pulse compression data and the difference channel pulse compression data after main lobe interference suppression, respectively, to obtain the sum channel pulse compression data and the difference channel pulse compression data after MTD processing;

[0015] Calculate the difference-sum ratio between the sum channel pulse compression data and the difference channel pulse compression data after MTD processing;

[0016] According to the difference and ratio, the target angle is obtained by comparing the angle detection curve.

[0017] Optionally, performing LCMV processing on the sum channel pulse compression data and the difference channel pulse compression data respectively to obtain a sum channel adaptive weight coefficient and a difference channel adaptive weight coefficient comprises:

[0018] For each type of pulse compression data in the sum channel pulse compression data and the difference channel pulse compression data, LCMV processing is performed on it using the following LCMV criterion equation:

[0019] ;

[0020] in, is the pulse compression data currently targeted, is the adaptive weight coefficient corresponding to the pulse compression data, yes The conjugate transpose of is the output power of the pulse compression data, is the target angle steering vector, .

[0021] Optionally, performing main lobe interference suppression processing on the sum channel pulse compression data by using the sum channel adaptive weight coefficient to obtain the sum channel pulse compression data after main lobe interference suppression, comprises:

[0022] Multiplying the sum channel pulse compression data by the conjugate transpose of the sum channel adaptive weight coefficient to obtain the sum channel pulse compression data after main lobe interference suppression;

[0023] The method of performing main lobe interference suppression processing on the difference channel pulse compression data by using the difference channel adaptive weight coefficient to obtain the difference channel pulse compression data after main lobe interference suppression comprises:

[0024] The conjugate transpose of the difference channel adaptive weight coefficient is multiplied by the difference channel pulse compression data to obtain the difference channel pulse compression data after main lobe interference suppression.

[0025] Optionally, the method is applied to a linear array radar.

[0026] In a second aspect, the present invention provides a main lobe interference suppression device based on a MIMO linear array, comprising:

[0027] A beamforming module is used to perform sum and difference beamforming on radar echo data to obtain sum channel beamforming data and difference channel beamforming data; wherein the radar echo data is obtained by the MIMO linear array The transmission signal of the transmitting array element is reflected and obtained. The transmission signals of the transmitting array elements are mutually orthogonal; is an integer greater than 1;

[0028] An orthogonal matching filter module is used to perform orthogonal matching filtering on the sum channel beamforming data and the difference channel beamforming data respectively to obtain a pulse compression result after orthogonal matching filtering; the pulse compression result includes the sum channel pulse compression data and the difference channel pulse compression data separated by the transmit dimension degree of freedom;

[0029] An LCMV processing module, used for performing LCMV processing on the sum channel pulse compression data and the difference channel pulse compression data respectively, to obtain a sum channel adaptive weight coefficient and a difference channel adaptive weight coefficient;

[0030] The interference suppression module is used to use the sum channel adaptive weight coefficient to perform main lobe interference suppression processing on the sum channel pulse compression data to obtain the sum channel pulse compression data after the main lobe interference suppression; and use the difference channel adaptive weight coefficient to perform main lobe interference suppression processing on the difference channel pulse compression data to obtain the difference channel pulse compression data after the main lobe interference suppression.

[0031] Optionally, the device further comprises: an angle measuring module;

[0032] The angle measurement module is used to perform MTD processing on the sum channel pulse compression data and the difference channel pulse compression data after main lobe interference suppression, respectively, to obtain the sum channel pulse compression data and the difference channel pulse compression data after MTD processing; calculate the difference-sum ratio of the sum channel pulse compression data and the difference channel pulse compression data after MTD processing; and compare the angle detection curve according to the difference-sum ratio to obtain the target angle.

[0033] Optionally, the LCMV processing module is specifically used to:

[0034] For each type of pulse compression data in the sum channel pulse compression data and the difference channel pulse compression data, LCMV processing is performed on it using the following LCMV criterion equation:

[0035] ;

[0036] in, is the pulse compression data currently targeted, is the adaptive weight coefficient corresponding to the pulse compression data, yes The conjugate transpose of is the output power of the pulse compression data, is the target angle steering vector, .

[0037] Optionally, the interference suppression module is specifically configured to:

[0038] The conjugate transpose of the sum channel adaptive weight coefficient is multiplied by the sum channel pulse compression data to obtain the sum channel pulse compression data after main lobe interference suppression; the conjugate transpose of the difference channel adaptive weight coefficient is multiplied by the difference channel pulse compression data to obtain the difference channel pulse compression data after main lobe interference suppression.

[0039] In a third aspect, the present invention provides an electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0040] Memory, used to store computer programs;

[0041] The processor is used to implement the method steps of any of the above-mentioned main lobe interference suppression methods based on MIMO linear arrays when executing the program stored in the memory.

[0042] In the main lobe interference suppression method based on MIMO linear array provided by the present invention, the characteristics of the degrees of freedom of the transmitting dimension and the receiving dimension of the MIMO radar are separable and independent of each other. On the basis that the distortion of the transmitting dimension directional pattern does not affect the receiving dimension and the angle discrimination curve of the receiving dimension is not distorted, beam forming is performed on the receiving dimension, and orthogonal matching filtering is performed on the sum channel beam forming data and the difference channel beam forming data respectively to achieve the separation of the transmitting signal, obtain the degrees of freedom of the transmitting dimension, and then perform LCMV processing on the pulse compression data in the transmitting dimension, so that the main lobe interference signal received in the receiving dimension is suppressed, thereby achieving accurate angle measurement and suppressing the main lobe interference, and then normal sum and difference beam angle measurement can be performed. Among them, since the degrees of freedom of the radar echo data in the transmitting dimension and the receiving dimension are independent of each other, the LCMV processing in the transmitting dimension does not affect the calculation of the sum and difference beam angle measurement in the signal receiving dimension, nor does it affect the generation of the angle discrimination curve. Such a data flow design not only reduces the volume of the antenna, but also suppresses the main lobe interference, and reduces the time and amount of calculation for theoretically calculating the target angle.

[0043] In addition, the present invention uses LCMV processing in the transmission dimension to replace the row-column adaptive processing of the planar array radar, which reduces the amount of data calculation by the radar, reduces the operation time of the system, reduces the number of antennas required by the radar, and fully suppresses the influence of the main lobe interference, so that the linear array radar can also correctly measure the target angle under the main lobe interference. Therefore, the present invention is applicable to both planar array and linear array MIMO radars. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flow chart of a main lobe interference suppression method based on a MIMO linear array provided by an embodiment of the present invention;

[0045] Figure 2It is the direct pulse compression result of the signal received by a single receiving array element in the simulation experiment provided by the embodiment of the present invention;

[0046] Figure 3 is a transmission dimensional pattern after main lobe interference suppression in a simulation experiment provided by an embodiment of the present invention;

[0047] Figure 4 is a receiving dimensional pattern after main lobe interference suppression in a simulation experiment provided by an embodiment of the present invention;

[0048] Figure 5 It is a distance-amplitude curve of the channel pulse compression data before and after the main lobe interference is suppressed in the simulation experiment provided by the embodiment of the present invention;

[0049] Figure 6 It is the result of calculating the angle detection curve according to the sum channel pulse compression data and the difference channel pulse compression data after the main lobe interference is suppressed in the simulation experiment provided by the embodiment of the present invention;

[0050] Figure 7 It is a structural schematic diagram of a main lobe interference suppression device based on a MIMO linear array provided by an embodiment of the present invention;

[0051] Figure 8 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The present invention is further described in detail below with reference to specific embodiments, but the embodiments of the present invention are not limited thereto.

[0053] In order to achieve mainlobe interference suppression with small amount of calculation, short time consumption and applicable to both linear array and planar array MIMO radars, an embodiment of the present invention provides a mainlobe interference suppression method based on a MIMO linear array. The method is not limited to the type of MIMO radar and can be applied to both planar array radars and linear array radars.

[0054] See also Figure 1 As shown, the main lobe interference suppression method based on MIMO linear array provided by the embodiment of the present invention includes the following steps:

[0055] S10: Perform sum and difference beamforming on the radar echo data to obtain sum channel beamforming data and difference channel beamforming data; wherein the radar echo data is obtained by the MIMO linear array. The transmitted signal of the transmitting array element is reflected and obtained. The transmit signals of the transmit array elements are orthogonal to each other.

[0056] here, is an integer greater than 1.

[0057] Specifically, the number of transmitting array elements of MIMO radar is , among which The transmission signal of the transmitting array element is , The transmission signals of the transmitting array elements are mutually orthogonal, that is, they meet the following conditions:

[0058] ;

[0059] in, Indicates time, represents the autocorrelation function; Indicates The transmitted signal of the transmitting array element.

[0060] The overall transmission signal of a transmitting array element is expressed as: .

[0061] Assume that the target angle at the radar transmitter is , the forwarding interference angle is ; The angle at which the receiving end receives the signal is , the number of receiving array elements is , then at the MIMO radar receiving end, each receiving array element receives the radar echo signal The form is as follows:

[0062] ;

[0063] in, is the number of the receiving array element, is the loss coefficient of signal propagation in space, For the The transmitting elements are at an angle The emission guide vector element, , is the symbol of the imaginary part, is the natural base, is the array element spacing, is the radar operating wavelength, For the The receiving elements are at an angle The receiving steering vector element, Indicates delay, The signal form of the forwarding interference signal received by the receiving array element is: , For the The transmitting elements are at an angle The emission guide vector element.

[0064] The radar echo signal is sampled to form radar echo data, and an adaptive beamforming method is used to perform receiving beamforming on the radar echo data, and sum channel beamforming data and difference channel beamforming data are formed respectively.

[0065] Among them, the and channel beamforming data are expressed as:

[0066] ;

[0067] The difference channel beamforming data is expressed as:

[0068] ;

[0069] In the above formula, , represents and channel adaptive weight coefficients, represents the adaptive weight coefficient of the difference channel, The receiving end is at an angle The receiving steering vector, , It means to find the conjugate transpose.

[0070] In step S10, by performing receive beamforming on the radar echo data, it is possible to obtain and Specific data, and It is obtained in the subsequent steps.

[0071] S20: performing orthogonal matching filtering on the sum channel beamforming data and the difference channel beamforming data respectively to obtain a pulse compression result after orthogonal matching filtering; the pulse compression result includes the sum channel pulse compression data and the difference channel pulse compression data separated by the transmit dimension degree of freedom.

[0072] Specifically, taking the channel beamforming data as an example, using The transmit signals of the transmitting array elements are mutually orthogonal, which is beneficial to the channel beamforming data and The transmitted signals of the transmitting array elements are subjected to orthogonal matching filtering to separate The emission dimension data of each channel is obtained to obtain the emission dimension degree of freedom separation and channel pulse compression data. The specific implementation process is as follows:

[0073] ;

[0074] ;

[0075] ;

[0076] ;

[0077] in, is the channel beamforming data The frequency domain form of represents the fast Fourier transform, represents the inverse fast Fourier transform, represents the function for calculating the conjugate of a complex number; is the pulse compression data of the channel Channel data, , It is a constant coefficient obtained by multiplying various losses, pulse compression gain, and receive beamforming gain.

[0078] Thus, the emission dimension degrees of freedom are separated by orthogonal matched filtering, and the vector form of the sum channel pulse compression data is obtained as follows:

[0079] .

[0080] The implementation method of performing orthogonal matching filtering on the difference channel beamforming data is basically the same as that of performing orthogonal matching filtering on the difference channel beamforming data, and will not be described in detail.

[0081] S30: Perform LCMV processing on the sum channel pulse compression data and the difference channel pulse compression data respectively to obtain the sum channel adaptive weight coefficient and the difference channel adaptive weight coefficient.

[0082] Specifically, for each type of pulse compression data in the sum channel pulse compression data and the difference channel pulse compression data, LCMV processing is performed on it using the following LCMV criterion equation:

[0083] ;

[0084] In the LCMV criterion equation, is the pulse compression data currently targeted, is the adaptive weight coefficient of the pulse compression data, yes The conjugate transpose of is the target angle steering vector, , is the output power of the pulse compression data currently being targeted. Therefore, the LCMV processing in this step is actually to satisfy certain linear constraints by making the output power Minimum, to solve the optimal adaptive weight coefficient, the optimal adaptive weight coefficient is expressed as , superscript T Represents matrix transpose.

[0085] S40: performing main lobe interference suppression processing on the sum channel pulse compression data using the sum channel adaptive weight coefficient to obtain the sum channel pulse compression data after the main lobe interference suppression; performing main lobe interference suppression processing on the difference channel pulse compression data using the difference channel adaptive weight coefficient to obtain the difference channel pulse compression data after the main lobe interference suppression.

[0086] Specifically, the conjugate transpose of the sum channel adaptive weight coefficient is multiplied by the sum channel pulse compression data to obtain the sum channel pulse compression data after the main lobe interference is suppressed; the conjugate transpose of the difference channel adaptive weight coefficient is multiplied by the difference channel pulse compression data to obtain the difference channel pulse compression data after the main lobe interference is suppressed. At this time, the main lobe interference direction in the result is fully suppressed, and the target angle direction obtains the maximum power, so that the curve result of the subsequent receiving dimension data processing remains unchanged, and thus does not affect the angle measurement result.

[0087] Therefore, the embodiment of the present invention processes the pulse compression data based on the adaptive weight coefficient. Compared with the conventional MIMO radar signal processing in which the adaptive signal processing is introduced, the embodiment of the present invention can effectively suppress the main lobe interference.

[0088] In the main lobe interference suppression method based on MIMO linear array provided by the embodiment of the present invention, the characteristics of the degrees of freedom of the transmitting dimension and the receiving dimension of the MIMO radar are separable and independent of each other. On the basis that the distortion of the transmitting dimension directional pattern does not affect the receiving dimension, and then the receiving dimension identification angle curve is not distorted, beam forming is performed on the receiving dimension, and the beam forming data in the sum and difference beam channels are respectively orthogonally matched filtered to achieve transmission signal separation, obtain the transmission dimension degrees of freedom, and then perform LCMV processing on the channel pulse compression data in the transmitting dimension, so that the main lobe interference signal received in the receiving dimension is suppressed, thereby achieving accurate angle measurement and suppression of main lobe interference, and then normal sum and difference beam angle measurement can be performed. Among them, since the degrees of freedom of the radar echo data in the transmitting dimension and the receiving dimension are independent of each other, the LCMV processing in the transmitting dimension does not affect the calculation of the sum and difference beam angle measurement in the signal receiving dimension, nor does it affect the generation of the identification angle curve. Such a data flow design not only reduces the volume of the antenna, but also suppresses the main lobe interference, and reduces the calculation time and amount of theoretical calculation of the detection angle.

[0089] Furthermore, the embodiment of the present invention uses LCMV processing in the transmission dimension to replace the row-column adaptive processing of the planar array radar, thereby reducing the amount of data calculation by the radar, reducing the operation time of the system, reducing the number of antennas required for the radar, and fully suppressing the influence of main lobe interference, so that the linear array radar can also correctly measure the target angle under main lobe interference. Therefore, the embodiment of the present invention is applicable to both planar array and linear array MIMO radars.

[0090] In one embodiment, after obtaining the sum channel pulse compression data and the difference channel pulse compression data after main lobe interference suppression, the sum channel pulse compression data and the difference channel pulse compression data after main lobe interference suppression can be further subjected to MTD processing to obtain the sum channel pulse compression data and the difference channel pulse compression data after MTD processing; then, the difference-sum ratio of the sum channel pulse compression data and the difference channel pulse compression data after MTD processing is calculated; according to the difference-sum ratio, the target angle is obtained by comparing the angle detection curve, thereby achieving accurate angle measurement of the target detected by radar.

[0091] The beneficial effects of the embodiments of the present invention are further illustrated by simulation experiments below.

[0092] Target is located =0°, the receiver signal-to-noise ratio of the MIMO radar is 30dB. The two main lobe interferences are located at = -2° and =1°, the interference-to-noise ratio is 60dB. Assuming that both the transmit and receive beams point to 0°, the direct pulse compression result of the signal received by a single receiving array element is as follows: Figure 2 .

[0093] Then, the main lobe interference suppression method provided by the embodiment of the present invention is used to perform main lobe interference suppression processing on the radar echo data to obtain a transmission dimensional radiation pattern as shown in FIG. Figure 3 As shown, the receiving dimensional pattern is Figure 4 shown. Figure 3 and Figure 4 In the equation, the horizontal axis corresponds to the direction angle, and the vertical axis corresponds to the signal amplitude. Figure 3 and Figure 4 It can be seen that a notch has been formed at the interference position in the transmit dimension pattern, while there is no interference part in the receive dimension pattern, which means that the distortion of the transmit dimension pattern does not affect the receive dimension.

[0094] Among them, the sum channel pulse compression data before main lobe interference suppression is as follows Figure 5 As shown in the left half, the sum channel pulse compression data after main lobe interference suppression is as follows Figure 5 As shown in the right half. Figure 5 It can be seen that the main lobe interference is basically suppressed in the receiving dimension, and the peak of the channel target is very obvious.

[0095] Then, the angle detection curve is calculated based on the sum channel pulse compression data and the difference channel pulse compression data after the main lobe interference is suppressed, and the calculation results are as follows: Figure 6 As shown. Figure 6 It can be seen that the main lobe interference at the target angle of 0° has been completely suppressed, and there is no distortion in the angle detection curve.

[0096] In summary, the main lobe interference suppression method based on the MIMO linear array provided in the embodiment of the present invention has the characteristics of two-dimensional degree of freedom separation in signal processing. By changing the processing sequence of pulse compression, the MIMO radar signal processing process is optimized, the complexity of signal processing is greatly reduced, the amount of data calculation is effectively reduced, the algorithm is short in time, and the burden of data processing in the radar system is effectively reduced.

[0097] The embodiment of the present invention uses a linear array radar to achieve main lobe interference suppression, which can significantly reduce the antenna volume ratio. The number of array elements is reduced to less than 100 when the transmitting and receiving antennas are used. + The number of array elements.

[0098] The method provided in the embodiment of the present invention can be applied to electronic devices. Specifically, the electronic device can be: a desktop computer, a portable computer, an intelligent mobile terminal, a server, etc. This is not limited here, and any electronic device that can implement the present invention belongs to the protection scope of the present invention.

[0099] Corresponding to the main lobe interference suppression method based on MIMO linear array provided in the embodiment of the present invention, the embodiment of the present invention also provides a main lobe interference suppression device based on MIMO linear array, such as Figure 7 As shown, the device comprises:

[0100] The beam forming module 601 is used to perform sum and difference beam forming on the radar echo data to obtain sum channel beam forming data and difference channel beam forming data; wherein the radar echo data is obtained by the MIMO linear array The transmitted signal of the transmitting array element is reflected, The transmission signals of the transmitting array elements are mutually orthogonal; is an integer greater than 1;

[0101] The orthogonal matching filter module 602 is used to perform orthogonal matching filtering on the sum channel beamforming data and the difference channel beamforming data respectively to obtain the pulse compression result after the orthogonal matching filtering; the pulse compression result includes the sum channel pulse compression data and the difference channel pulse compression data separated by the transmit dimension degree of freedom;

[0102] The LCMV processing module 603 is used to perform LCMV processing on the sum channel pulse compression data and the difference channel pulse compression data respectively to obtain the sum channel adaptive weight coefficient and the difference channel adaptive weight coefficient;

[0103] The interference suppression module 604 is used to perform main lobe interference suppression processing on the sum channel pulse compression data using the sum channel adaptive weight coefficient to obtain the sum channel pulse compression data after the main lobe interference is suppressed; and to perform main lobe interference suppression processing on the difference channel pulse compression data using the difference channel adaptive weight coefficient to obtain the difference channel pulse compression data after the main lobe interference is suppressed.

[0104] Optionally, the above device further comprises: an angle measuring module;

[0105] The angle measurement module is used to perform MTD processing on the sum channel pulse compression data and the difference channel pulse compression data after main lobe interference suppression, respectively, to obtain the sum channel pulse compression data and the difference channel pulse compression data after MTD processing; calculate the difference-sum ratio of the sum channel pulse compression data and the difference channel pulse compression data after MTD processing; and compare the angle detection curve according to the difference-sum ratio to obtain the target angle.

[0106] Optionally, the LCMV processing module 603 is specifically configured to:

[0107] For each type of pulse compression data in the sum channel pulse compression data and the difference channel pulse compression data, LCMV processing is performed on it using the following LCMV criterion equation:

[0108] ;

[0109] in, is the pulse compression data currently targeted, is the adaptive weight coefficient corresponding to the pulse compression data, yes The conjugate transpose of is the output power of the pulse compression data, is the target angle steering vector, .

[0110] Optionally, the interference suppression module 604 is specifically configured to:

[0111] The conjugate transpose of the sum channel adaptive weight coefficient is multiplied by the sum channel pulse compression data to obtain the sum channel pulse compression data after main lobe interference suppression; the conjugate transpose of the difference channel adaptive weight coefficient is multiplied by the difference channel pulse compression data to obtain the difference channel pulse compression data after main lobe interference suppression.

[0112] The embodiment of the present invention further provides an electronic device, such as Figure 8 As shown, it includes a processor 701, a communication interface 702, a memory 703 and a communication bus 704, wherein the processor 701, the communication interface 702, and the memory 703 communicate with each other through the communication bus 704.

[0113] Memory 703, used for storing computer programs;

[0114] The processor 701 is configured to implement the steps of any of the above-mentioned main lobe interference suppression methods based on MIMO linear arrays when executing the computer program stored in the memory 703 .

[0115] The communication bus mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not represent that there is only one bus or one type of bus.

[0116] The communication interface is used for communication between the above electronic device and other devices.

[0117] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0118] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0119] It should be noted that, for the device / electronic device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0120] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification.

[0121] Although the present application is described herein in conjunction with various embodiments, in the process of implementing the claimed application, those skilled in the art can understand and implement other changes to the disclosed embodiments by viewing the drawings and the disclosed content. In the description of the present invention, the term "comprising" does not exclude other components or steps, "one" or "an" does not exclude multiple situations, and the meaning of "multiple" is two or more, unless otherwise clearly and specifically limited. In addition, certain measures are recorded in different embodiments, but this does not mean that these measures cannot be combined to produce good results.

[0122] The above contents are further detailed descriptions of the present invention in combination with specific preferred embodiments, and it cannot be determined that the specific implementation of the present invention is limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as falling within the protection scope of the present invention.

Claims

1. A main lobe interference suppression method based on MIMO linear array, characterized in that: include: Perform sum and difference beamforming on the radar echo data to obtain sum channel beamforming data and difference channel beamforming data; wherein the radar echo data is obtained by the MIMO linear array The transmission signal of the transmitting array element is reflected and obtained. The transmission signals of the transmitting array elements are orthogonal to each other. is an integer greater than 1; Performing orthogonal matching filtering on the sum channel beamforming data and the difference channel beamforming data respectively to obtain a pulse compression result after orthogonal matching filtering; wherein the pulse compression result includes the sum channel pulse compression data and the difference channel pulse compression data separated by the transmit dimension degree of freedom; Performing LCMV processing on the sum channel pulse compression data and the difference channel pulse compression data respectively to obtain a sum channel adaptive weight coefficient and a difference channel adaptive weight coefficient; The sum channel pulse compression data is subjected to main lobe interference suppression processing using the sum channel adaptive weight coefficient to obtain the sum channel pulse compression data after main lobe interference suppression; the difference channel pulse compression data is subjected to main lobe interference suppression processing using the difference channel adaptive weight coefficient to obtain the difference channel pulse compression data after main lobe interference suppression.

2. The main lobe interference suppression method based on MIMO linear array according to claim 1, characterized in that: Also includes: Performing MTD processing on the sum channel pulse compression data and the difference channel pulse compression data after main lobe interference suppression, respectively, to obtain the sum channel pulse compression data and the difference channel pulse compression data after MTD processing; Calculate the difference-sum ratio between the sum channel pulse compression data and the difference channel pulse compression data after MTD processing; According to the difference and ratio, the target angle is obtained by comparing the angle detection curve.

3. The main lobe interference suppression method based on MIMO linear array according to claim 1, characterized in that: Performing LCMV processing on the sum channel pulse compression data and the difference channel pulse compression data respectively to obtain a sum channel adaptive weight coefficient and a difference channel adaptive weight coefficient, including: For each type of pulse compression data in the sum channel pulse compression data and the difference channel pulse compression data, LCMV processing is performed on it using the following LCMV criterion equation: ； in, is the pulse compression data currently targeted, is the adaptive weight coefficient corresponding to the pulse compression data, yes The conjugate transpose of is the output power of the pulse compression data, is the target angle steering vector, .

4. The main lobe interference suppression method based on MIMO linear array according to claim 1, characterized in that: The sum channel pulse compression data is subjected to main lobe interference suppression processing by using the sum channel adaptive weight coefficient to obtain the sum channel pulse compression data after main lobe interference suppression, including: Multiplying the sum channel pulse compression data by the conjugate transpose of the sum channel adaptive weight coefficient to obtain the sum channel pulse compression data after main lobe interference suppression; The method of performing main lobe interference suppression processing on the difference channel pulse compression data by using the difference channel adaptive weight coefficient to obtain the difference channel pulse compression data after main lobe interference suppression comprises: The conjugate transpose of the difference channel adaptive weight coefficient is multiplied by the difference channel pulse compression data to obtain the difference channel pulse compression data after main lobe interference suppression.

5. The main lobe interference suppression method based on MIMO linear array according to any one of claims 1 to 4, characterized in that: Applied to linear array radar.

6. A main lobe interference suppression device based on MIMO linear array, characterized in that: include: A beamforming module is used to perform sum and difference beamforming on radar echo data to obtain sum channel beamforming data and difference channel beamforming data; wherein the radar echo data is obtained by the MIMO linear array The transmission signal of the transmitting array element is reflected and obtained. The transmission signals of the transmitting array elements are orthogonal to each other. is an integer greater than 1; An orthogonal matching filter module is used to perform orthogonal matching filtering on the sum channel beamforming data and the difference channel beamforming data respectively to obtain a pulse compression result after orthogonal matching filtering; wherein the pulse compression result includes the sum channel pulse compression data and the difference channel pulse compression data separated by the transmit dimension degree of freedom; An LCMV processing module, used for performing LCMV processing on the sum channel pulse compression data and the difference channel pulse compression data respectively, to obtain a sum channel adaptive weight coefficient and a difference channel adaptive weight coefficient; The interference suppression module is used to use the sum channel adaptive weight coefficient to perform main lobe interference suppression processing on the sum channel pulse compression data to obtain the sum channel pulse compression data after the main lobe interference suppression; and use the difference channel adaptive weight coefficient to perform main lobe interference suppression processing on the difference channel pulse compression data to obtain the difference channel pulse compression data after the main lobe interference suppression.

7. The main lobe interference suppression device based on MIMO linear array according to claim 6, characterized in that: Also includes: Angle measurement module; The angle measurement module is used to perform MTD processing on the sum channel pulse compression data and the difference channel pulse compression data after the main lobe interference is suppressed, so as to obtain the sum channel pulse compression data and the difference channel pulse compression data after the MTD processing; The difference-sum ratio between the sum channel pulse compression data and the difference channel pulse compression data after MTD processing is calculated; and the target angle is obtained by comparing the angle detection curve according to the difference-sum ratio.

8. The main lobe interference suppression device based on MIMO linear array according to claim 6, characterized in that: The LCMV processing module is specifically used for: For each type of pulse compression data in the sum channel pulse compression data and the difference channel pulse compression data, LCMV processing is performed on it using the following LCMV criterion equation: ； in, is the pulse compression data currently targeted, is the adaptive weight coefficient corresponding to the pulse compression data, yes The conjugate transpose of is the output power of the pulse compression data, is the target angle steering vector, .

9. The main lobe interference suppression device based on MIMO linear array according to claim 6, characterized in that: The interference suppression module is specifically used for: The conjugate transpose of the sum channel adaptive weight coefficient is multiplied by the sum channel pulse compression data to obtain the sum channel pulse compression data after main lobe interference suppression; the conjugate transpose of the difference channel adaptive weight coefficient is multiplied by the difference channel pulse compression data to obtain the difference channel pulse compression data after main lobe interference suppression.

10. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; The memory is used to store computer programs; The processor is used to implement the method steps of the main lobe interference suppression method based on MIMO linear array according to any one of claims 1 to 5 when executing the computer program stored in the memory.

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