Matrix filling-based bistatic MIMO (Multiple-input Multiple-output) radar angle estimation method

A matrix-filling, bistatic technology, which is applied to direction finder, direction finder using radio waves, radio wave direction/bias determination system, etc. The algorithm has high robustness and the effect of suppressing the influence of spatial color noise

Active Publication Date: 2018-09-21
YANGTZE UNIVERSITY
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However, the above time-domain cross-covariance algorithm and covariance difference algorithm both require the noise to meet certain specific characteristics, which are no longer applicable to time-varying noise or non-stationary noise, so the universality of the algorithm is limited

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  • Matrix filling-based bistatic MIMO (Multiple-input Multiple-output) radar angle estimation method

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[0019]In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.

[0020] The present invention provides a method for estimating an angle of a bistatic MIMO radar based on matrix filling. The method for estimating an angle of a bistatic MIMO radar based on matrix filling includes the following steps:

[0021] S1. Construct the covariance matrix of the received array data after matched filtering;

[0022] S2. Reconstructing the covariance matrix to obtain a color-noise-free covariance matrix that suppresses spatial color noise;

[0023] S3. The colorless noise covariance matrix is ​​reconstructed twice through the nuclear norm singular value threshold ...

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Abstract

The invention discloses a matrix filling-based bistatic MIMO (Multiple-input Multiple-output) radar angle estimation method. According to the method, some block matrices in a signal covariance matrixare removed, so that the influence of noises on the target positioning of an MIMO radar can be directly eliminated; a matrix filling technology is adopted to restore an original data matrix; and an ESPRIT technology is adopted to perform DOD and DOA joint estimation. With the matrix filling-based bistatic MIMO radar angle estimation method of the invention adopted, the influence of spatial-domaincolor noises can be effectively suppressed; automatically paired angle estimations can be quickly obtained; since the method of the invention is free of the influence of virtual aperture loss, the parameter estimation performance of the method is better than that of an existing matrix technology-based estimation algorithm and provides more reasonable reference for the related processing of a detection target. The method is applicable to the spatial-domain color noise background of any covariance matrix; and the algorithm is robust.

Description

technical field [0001] The invention relates to a radar signal processing technology, in particular to a matrix filling-based bistatic MIMO radar angle estimation method. Background technique [0002] The Multiple-input Multiple-output (MIMO) system is one of the core technologies in the fields of communication and detection in the future, and it is also one of the hot research technologies in recent years. In the field of radar detection, MIMO radar will be the most promising next-generation radar system. Different from the existing phased array radar system, MIMO radar adopts the signal processing mode of multiple transmission and multiple reception, and uses diversity gain to greatly improve the target detection performance. Compared with traditional phased array radar systems, MIMO radar has potential advantages in terms of resolution, anti-fading, identifiability, and noise suppression. According to the different configurations of MIMO radar transceiver elements, MIMO...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/14G01S7/41G01S7/42
CPCG01S3/143G01S7/418G01S7/42
Inventor 王莹文方青蔡昌新王可张磊
Owner YANGTZE UNIVERSITY
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