Method for estimating DOA of MIMO radar coherent sources based on covariance matching SL0 algorithm

A technology of covariance and covariance matrix is ​​applied in the field of multi-input multi-output radar target parameter estimation. Reduce the amount of computation, improve real-time performance and practicability, and avoid the effect of sparse reconstruction model mismatch

Active Publication Date: 2018-12-07
NANJING UNIV OF INFORMATION SCI & TECH
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But the problem is a non-deterministic polynomial (NP-hard) problem
[0004] In the actual environment, due to the influence of co-channel interference and multipath effects, there are often coherent signal sources in the signals incident on the MIMO radar receiving array. As a result, the SL0 algorithm with the advantage of fast sparse reconstruction cannot be effectively applied to MIMO radar DOA estimation

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  • Method for estimating DOA of MIMO radar coherent sources based on covariance matching SL0 algorithm
  • Method for estimating DOA of MIMO radar coherent sources based on covariance matching SL0 algorithm
  • Method for estimating DOA of MIMO radar coherent sources based on covariance matching SL0 algorithm

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[0044] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0045] Below in conjunction with accompanying drawing, the implementation steps of the present invention are described in detail:

[0046] A DOA estimation method for MIMO radar coherent sources based on covariance matching SL0 algorithm, such as figure 1 as shown,

[0047] Step 1: The receiving array signal of the MIMO radar is matched and filtered to obtain the output signal of the virtual array as X, and the covariance matrix is ​​calculated

[0048] Assuming that the system is a narrowband monostatic MIMO radar system, the system has M transmitting elements and N receiving elements, and the distance between the elements is d t and d r , in order to form a low-redundancy virtual array with the largest aperture, the present invention selects d t =Nλ / 2,d r =λ / 2, where, λ is the working wavelength. Suppose there are P far-field coherent sou...

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Abstract

The invention discloses a method for estimating a DOA of MIMO radar coherent sources based on a covariance matching SL0 algorithm, belongs to the field of multiple input and multiple output (MIMO) radar target parameter estimation, and particularly relates to a DOA estimation method of MIMO radar coherent sources. When a weighted SL0 algorithm is used to estimate the DOA of a MIMO radar target, acovariance matrix needs to be vectorized to obtain a corresponding sparse reconstruction model, and the orthogonality of a signal and a noise subspace is used to construct a weighted vector. However,when the coherent sources are present, the rank of the MIMO radar covariance matrix is degraded, a full-rank covariance matrix is reconstructed by using a covariance matching criterion, the Toeplitz property of the MIMO radar covariance matrix is restored, and a high-order power of the covariance matrix is used to approximate a noise subspace to calculate the weighted vector. According to the algorithm of the invention, the DOA estimation of the coherent sources can be effectively completed without the need to predict the number of sources.

Description

technical field [0001] The invention belongs to the field of multi-input multi-output (MIMO) radar target parameter estimation, in particular to a DOA estimation method for MIMO radar coherent sources, in particular to a DOA estimation method for MIMO radar coherent sources based on covariance matching SL0 algorithm method. Background technique [0002] Multiple Input and Multiple Output (MIMO) radar system is a new radar system proposed in recent years. Because of its many advantages, it has become a research hotspot in the field of radar. In MIMO radar, the transmitting end transmits mutually orthogonal signals, and the receiving end separates each transmitted signal through a matched filter. Therefore, MIMO radar can generate a large number of virtual array elements, expand the aperture of the virtual array, and improve the performance of parameter estimation. [0003] Direction of Arrival (DOA) estimation is an important research content in the field of array signal pr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/14G01S13/00
CPCG01S3/143G01S13/003
Inventor 陈金立李巧雅李家强陈宣
Owner NANJING UNIV OF INFORMATION SCI & TECH
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