A Robust Beamforming Suppressing Deceptive Jamming Method Based On FDA-MIMO Radar. Issue 1 (1st December 2022)

• Record Type: Journal Article
• Authors: Zhang, Yimeng; Li, Wenxing; Yang, Bin; Zhao, Yu
• Is Part Of: Journal of physics. Volume 2414 Issue 1(2022)
• Publication Date: 2022-12-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2414/1/012017
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In comparison to phased array (PA) radar that just transmits a beampattern with angle-dependent, frequency diverse array (FDA) radar with adding a feature of distance dimension performs well in main-beam deceptive jamming suppression domain. However, in practical conditions, estimating an inaccuracy of the covariance matrix(CM) has a significant negative impact on algorithm performance, also as a mismatch of target SV has. Hence, a robust adaptive beamforming technique comes up in this article that selects the principal eigenvector to get accurate signal steering vectors (SV), further gets the reconstruction interference-plus-noise CM (IPNCM). According to experiments, the proposed algorithm keeps a robust and good performance under non-ideal circumstances.