Title | ||
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Mainlobe Jamming Suppression With Polarimetric Multi-Channel Radar Via Independent Component Analysis |
Abstract | ||
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Mainlobe jamming will reduce the capabilities of modern radar significantly. Conventional independent component analysis (ICA)-based methods will suffer from the ineffectiveness when the angle of the target is same as that of the jammer. In this paper, exploring polarization characteristics, we propose an approach based on ICA for polarimetric multi-channel radar to suppress mainlobe interference. Specifically, the signal model of polarimetric multi-channel radar accounting for the target and jamming signals is derived. Then, the approach based on ICA is utilized to separate the target component and jamming component while achieving the mainlobe jamming suppression. Finally, the effectiveness and capacities of proposed method are demonstrated by simulations, and the results indicate that different kinds of mainlobe jammings can be effectively suppressed and the proposed method outperforms conventional jamming cancellation methods. (C) 2020 Published by Elsevier Inc. |
Year | DOI | Venue |
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2020 | 10.1016/j.dsp.2020.102806 | DIGITAL SIGNAL PROCESSING |
Keywords | DocType | Volume |
Polarimetric multi-channel radar, Independent component analysis, Mainlobe jamming suppression, Electronic counter countermeasures | Journal | 106 |
ISSN | Citations | PageRank |
1051-2004 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mengmeng Ge | 1 | 1 | 1.03 |
Guolong Cui | 2 | 333 | 36.77 |
Xianxiang Yu | 3 | 29 | 11.97 |
Lingjiang Kong | 4 | 346 | 38.93 |