Open AccessSparse direction of arrival estimation of co‐prime MIMO radar using sparse aperture completion
Author(s) -
Tao Yu,
Zhang Gong,
Zhang Jingya
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0536
Subject(s) - compressed sensing , sparse array , computer science , aperture (computer memory) , algorithm , direction of arrival , mimo , signal (programming language) , radar , scheme (mathematics) , prime (order theory) , mathematics , acoustics , telecommunications , physics , beamforming , combinatorics , antenna (radio) , mathematical analysis , programming language
In this study, the authors consider the problem of direction of arrival (DOA) estimation in compressive sensing multiple‐input and multiple‐output (CS‐MIMO) radars with co‐prime receive arrays. A sparse aperture completion scheme is proposed to fill the ‘holes’ that in the difference co‐array, achieving the full virtual receive aperture. Structured measurement matrices are devised in order that the output data of match filters can be seen as space–time compressed signal of a virtual uniform linear array. By employing the space–time recovery scheme, the sparse target scene can be accurately recovered while the amount of samples is further reduced. Numerical results demonstrate that the proposed scheme can achieve accurate DOA estimation with space–time compressed data and outperform the CS‐based difference co‐array methods.