Coprime array robust adaptive beam forming method based on matrix reconstruction

An adaptive beam and matrix technology, applied in the field of array radar, can solve problems such as the lack of interference estimation degree of freedom and the ability to suppress multiple interference, and achieve the effects of improving robustness, increasing degrees of freedom, and simplifying the estimation process.

Pending Publication Date: 2021-08-13
AIR FORCE UNIV PLA
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Problems solved by technology

[0005] The purpose of the present invention is to provide a Coprime array robust adaptive beamforming method based on matrix reconstruction, which solves the problem that the dual subarray is used to estimate the signal power in the previous algorithm, and the degree of freedom of interference estimation and the ability to suppress multiple interferences are insufficient.

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  • Coprime array robust adaptive beam forming method based on matrix reconstruction

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[0062] Figure 1-7 A preferred embodiment of the Coprime array robust adaptive beamforming method based on matrix reconstruction in the present invention is shown, and the Coprime array robust adaptive beamforming method in the present embodiment specifically includes steps:

[0063] The first step is to define the array element position set of the Coprime array, inject the far-field narrowband signal into the defined Coprime array, and obtain the covariance matrix according to the data received by the Coprime array;

[0064] In the second step, the covariance matrix of the received data is equivalent to constructing a virtual array, and part of the array elements in the virtual array formed by the Coprime array form a virtual ULA;

[0065] In the third step, according to the principle of spatial smoothing, divide the virtual ULA into U ULAs with the number of elements U, and calculate the spatial smoothing matrix R SS ;

[0066] The fourth step is to construct and define th...

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Abstract

The invention provides a Coprime array robust adaptive beam forming method based on matrix reconstruction, which fully utilizes the characteristic of large virtual aperture of a Coprime array sparse array, estimates the angles of signals and interference in a virtual domain, estimates the power of the signals and the interference by utilizing the corresponding relation between noise power and a covariance matrix, and realizes the reconstruction of INCM. When the Coprime array is configured as follows: array element numbers of two sub-arrays are 2M<1> and M<2> respectively, the array element spacing is M<2>d and M<1>d, d is the minimum array element spacing, when an SERB algorithm is applied, the degree of freedom of interference suppression is min{2M<1>-1, M<2>-1}, and the degree of freedom of interference suppression of the algorithm in the Coprime array is 2M<1>+M<2>-2 which is obviously higher than the degree of freedom of interference suppression of the SERB algorithm.

Description

technical field [0001] The present invention relates to the technical field of array radar, in particular to a Coprime array robust adaptive beamforming method based on matrix reconstruction. Background technique [0002] Compared with the traditional uniform array, the Coprime array adopts a sparse array. Although it has the characteristics of large aperture and high degree of freedom, the change of its array structure makes the traditional signal processing algorithm unable to take advantage of the Coprime array. Therefore, many based on Array signal processing algorithms for Coprime arrays have been proposed one after another. Compared with the research on DOA estimation in Coprime array, the research on beamforming in Coprime array is not in-depth. [0003] In order to improve the performance of Coprime array beamforming, someone proposed a beamforming SERB algorithm based on subarray estimation and interference noise covariance matrix reconstruction. The SERB algorith...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/02G01S7/41
CPCG01S13/02G01S7/418
Inventor 葛启超郭艺夺冯为可胡晓伟宫健
Owner AIR FORCE UNIV PLA
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