Open AccessDOA Estimation Based on Average Processing of Redundant Virtual Array Elements for Coprime MIMO Radar
Author(s) -
Yule Zhang,
Guoping Hu,
Ming Zhu,
Chenghong Zhan,
Feilong Zhao,
Hao Zhou,
Fangzheng Zhao,
Shijie Yue
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1894/1/012092
Subject(s) - toeplitz matrix , coprime integers , direction of arrival , mimo , computer science , radar , algorithm , matrix (chemical analysis) , mathematics , beamforming , telecommunications , materials science , antenna (radio) , pure mathematics , composite material
The redundant virtual array elements formed by the sum and difference coarray (SDCA) are always discarded in the existing DOA estimation methods, which could cause effective information loss and poor performance. In this paper, a new technology based on average processing of redundant virtual array elements is proposed for coprime MIMO radar direction of arrival (DOA) estimation. Then, Toeplitz matrix reconstruction based on MUSIC algorithm is employed to validate the effectiveness of the proposed technology for DOA estimation.