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MIMO radar continuous target angle estimation method based on multi-measurement-vector sparse representation

A technology of sparse representation and target angle, applied in measuring devices, radio wave measuring systems, orientators for determining directions, etc., can solve problems such as sparse matrix cannot be restored, large computational complexity, etc.

Inactive Publication Date: 2014-08-13
HARBIN ENG UNIV
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Problems solved by technology

However, MIMO radar DOA estimation usually encounters the problem of multiple measurement vectors, and the iterative algorithm is no longer applicable; on the other hand, when reconstructing the sparse matrix in MIMO radar, a two-dimensional dictionary matrix is ​​required, which brings great computational complexity degree, it may even cause the sparse matrix to be unrecoverable

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  • MIMO radar continuous target angle estimation method based on multi-measurement-vector sparse representation
  • MIMO radar continuous target angle estimation method based on multi-measurement-vector sparse representation
  • MIMO radar continuous target angle estimation method based on multi-measurement-vector sparse representation

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Embodiment Construction

[0100] The present invention will be further described below in conjunction with accompanying drawing.

[0101]The present invention provides a single-base multiple-input multiple-output (MIMO for short) radar continuous target angle of arrival (Direction of arrival, DOA) estimation method based on multi-measurement vector sparse representation, mainly to improve The existing sparse representation-based MIMO radar angle estimation performance solves the shortcomings of continuous target failure, high sensitivity to the assumed number of targets, and inapplicability to the Multiple Measurement Vector (MMV) problem. First, the computational complexity of sparse signal reconstruction is reduced by using dimensionality reduction transformation matrix and singular value decomposition. Then, according to the coefficients of the reduced-dimensional Capon (RD-Capon) spectrum design a satisfying l 1 - Weight matrix with minimum norm constraints, DOA is estimated by searching for non-z...

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Abstract

The invention discloses an MIMO radar continuous target angle estimation method based on multi-measurement-vector sparse representation. The method includes the following steps that a receipt signal of a mono-static MIMO radar is obtained; dimension reduction processing is performed on the receipt signal; sparse representation is performed on the receipt signal after dimension reduction, and a complete dictionary is established; a dictionary matrix B is partitioned, and a weight matrix is designed; a receipt signal under a mono-static MIMO radar sparsification frame is obtained through solving, a sparse matrix is solved, and the directions of arrival (DOA) of targets are obtained through searching for non-zero rows in the sparse matrix . Angle estimation performance is good, meanwhile, the method is effective for continuous targets as well, and good estimation performance can be achieved even if the number of the targets is not estimated correctly.

Description

technical field [0001] The invention belongs to the technical field of monostatic MIMO radar, and in particular relates to a continuous target angle estimation method for MIMO radar based on multi-measurement vector sparse representation, which can improve the angle estimation performance of monostatic MIMO radar. Background technique [0002] Multiple-input multiple-output, multiple-input multiple-output, referred to as MIMO, radar has attracted a lot of attention in the field of radar, and has become a hot research topic at present. Compared with traditional phased array radar, MIMO radar has many potential advantages. MIMO radar can be divided into two categories according to the structure of the transmitting array and receiving array: one is the statistical MIMO radar, its transmitting array and receiving array are widely distributed in space to obtain continuous processing gain and solve the problem of target scintillation (IEEE Signal Processing Magazine, 2008, 25(1): ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S3/46G01S7/41
Inventor 王伟王咸鹏刘婧刘琦李欣黄平王慧王犇陈铮
Owner HARBIN ENG UNIV