MIMO Radar Imaging Based on Pattern – coupled Fast Inverse – freeSparse Bayesian Learning

HU  Renrong; TONG  Ningning; HE  Xingyu; CHEN  Qiao

doi:10.15892/j.cnki.djzdxb.2019.03.026

Journal of Projectiles, Rockets, Missiles and Guidance >

2019 , Vol. 39 >Issue 3: 115 - 118

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2019.03.026

MIMO Radar Imaging Based on Pattern – coupled Fast Inverse – freeSparse Bayesian Learning

HU Renrong ,
TONG Ningning ,
HE Xingyu ,
CHEN Qiao

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Air Defense and Anti-missile Institute, Air Force Engineering University, Xi'an 710051, China

Received date: 2018-06-14

Online published: 2025-05-20

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Abstract

MIMO radar imaging target usually has a block sparse characteristic, Pattern-coupled sparse Bayesian algorithm can better restore block sparse signals, but its main drawback is that in each iteration involves the complex matrix inverse. Combining the pattern-coupled sparse Bayesian algorithm with the fast inverse sparse Bayesian algorithm, a pattern-coupled fast inverse sparse Bayesian algorithm is set up, which will reverse complex matrix inverse into diagonal dimensional matrix inversion, and realize the MIMO radar target quickly and accurately refactoring. Through the simulation analysis, compared with traditional algorithm, the proposed algorithm can greatly reduce the imaging time, and the realize the efficient recovery of the target.

Key words： MIMO radar imaging; pattern coupled; block sparse; fast inverse

Cite this article

HU Renrong , TONG Ningning , HE Xingyu , CHEN Qiao . MIMO Radar Imaging Based on Pattern – coupled Fast Inverse – freeSparse Bayesian Learning[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2019 , 39(3) : 115 -118 . DOI: 10.15892/j.cnki.djzdxb.2019.03.026

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