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Main lobe jamming suppression algorithm based on blocking matrix pre-processing and covariance matrix reconstruction
Author(s): Meng Zhang; Rui Song; Xinyu Zhang; Zijing Zhang; Wanjie Song
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Paper Abstract

Regarding the main-lobe jamming suppression algorithm of phased array radar, the paper analyzes various anti-jamming algorithms based on blocking matrix pre-processing (BMP) according to the study of current anti-main lobe jamming technique in the space-time domain, including the weighting coefficient compensation, whitening, diagonal loading and linear constraint combined with diagonal loading beam retention algorithms. Inspired by the covariance matrix reconstruction (CMR) algorithm of eigen-projection matrix preprocessing, the paper combines modified CMR and BMP algorithm to suppress main lobe jamming. The modified CMR can not only be used when the dimension is lost caused by BMP, but also solve the distortion problems such as the main lobe peak offset in the adaptive beam forming synthesis. The biggest advantage of BMP combined with modified CMR algorithm is that its anti-jamming performance is excellent and stable when the sampling snapshot contains the target signal. Meanwhile, the algorithm complexity and the snapshot sensitivity are both in a low level. In the end, the verification results of the measured data also show the superiority of the proposed algorithm when the sampling snapshot contains the target signal.

Paper Details

Date Published: 31 December 2019
PDF: 10 pages
Proc. SPIE 11384, Eleventh International Conference on Signal Processing Systems, 113840N (31 December 2019); doi: 10.1117/12.2557195
Show Author Affiliations
Meng Zhang, Xidian Univ. (China)
Rui Song, No. 20 Research Institute of CETC (China)
Xinyu Zhang, Lanzhou Univ. (China)
Zijing Zhang, Xidian Univ. (China)
Wanjie Song, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 11384:
Eleventh International Conference on Signal Processing Systems
Kezhi Mao, Editor(s)

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