FDA-MIMO Radar Robust Beamforming Based on Matrix Weighting Method

Changlin Zhou; Chunyang Wang; Jian Gong; Lei Bao; Geng Chen; Mingjie Liu

doi:10.1109/ACCESS.2022.3178602

IEEE Access (Jan 2022)

FDA-MIMO Radar Robust Beamforming Based on Matrix Weighting Method

Changlin Zhou,
Chunyang Wang,
Jian Gong,
Lei Bao,
Geng Chen,
Mingjie Liu

Affiliations

Changlin Zhou: ORCiD; Air and Missile Defense College, Air Force Engineering University, Xi’an, China
Chunyang Wang: ORCiD; Air and Missile Defense College, Air Force Engineering University, Xi’an, China
Jian Gong: Air and Missile Defense College, Air Force Engineering University, Xi’an, China
Lei Bao: College of Information and Communication, National University of Defense Technology, Wuhan, China
Geng Chen: ORCiD; Air and Missile Defense College, Air Force Engineering University, Xi’an, China
Mingjie Liu: Air and Missile Defense College, Air Force Engineering University, Xi’an, China

DOI: https://doi.org/10.1109/ACCESS.2022.3178602
Journal volume & issue: Vol. 10
pp. 58913 – 58920

Abstract

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This paper deals with the problem of robust beamforming and target power estimation in the presence of main-lobe interference with frequency division array multiple-input multiple-output (FDA-MIMO) radar by adopting a weighting matrix at the receiving end. Based on the semi-definite programming (SDP) to solve the covariance matrix of the weighting matrix, we propose two beamforming methods and two methods for estimating the target power when the interference has a position error. Then, we propose obtaining the weighting matrix by performing singular value decomposition on the covariance matrix. We confirm the effectiveness of the developed method by comparing beam pattern and target signal estimation performance.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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