A Propagator Method for Bistatic Coprime EMVS-MIMO Radar
Author(s) -
Yongqiang Yang,
Ningjun Ruan,
Guan-Jun Huang,
Junpeng Shi,
Fangqing Wen
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/9954573
Subject(s) - coprime integers , algorithm , azimuth , mimo , bistatic radar , signal subspace , direction of arrival , eigendecomposition of a matrix , propagator , computer science , control theory (sociology) , subspace topology , mathematics , eigenvalues and eigenvectors , beamforming , radar , physics , radar imaging , artificial intelligence , telecommunications , geometry , noise (video) , control (management) , quantum mechanics , antenna (radio) , image (mathematics) , mathematical physics
In this paper, a novel two-dimensional (2D) direction-of-departure (DOD) and 2D direction-of-arrival (DOA) estimate algorithm is proposed for bistatic multiple-input multiple-output (MIMO) radar system equipped with coprime electromagnetic vector sensors (EMVS) arrays. Firstly, we construct the propagator to obtain the signal subspace. Then, the ambiguous angles are estimated by using rotation invariant technique. Based on the characteristic of coprime array, the unambiguous angles estimation is achieved. Finally, all azimuth angles estimation is followed via vector cross product. Compared to the existing uniform linear array, coprime MIMO radar is occupying large array aperture, and the proposed algorithm does not need to obtain signal subspace by eigendecomposition. In contrast to the state-of-the-art algorithms, the proposed algorithm shows better estimation performance and simpler computation performance. The proposed algorithm’s effectiveness is proved by simulation results.
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