Mainlobe Jamming Suppression Via Independent Component Analysis for Polarimetric SIMO Radar
ID:146 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:394 Oral Presentation

Start Time:2020-06-08 14:40(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS07Advanced Techniques In Radar Detection, Localization, And Electronic Counter-Measures

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Abstract
The presence of mainlobe jamming will significantly reduce the radar detection capabilities. 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 SIMO (P-SIMO) radar to resist mainlobe jamming. Specifically, the signal model of P-SIMO 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 show that the proposed method outperforms conventional ICA-based method.
Keywords
mainlobe jamming suppression; independent component analysis; polarimetric SIMO radar
Speaker
Mengmeng Ge
University of Electronic Science and Technology of China, China

Submission Author
Mengmeng Ge University of Electronic Science and Technology of China, China
Guolong Cui University of Electronic Science and Technology of China (UESTC), China
Xianxiang Yu University of Electronic Science and Technology of China, China
Feng Yang University of Electronic Science and Technology of China & University of Electronic Science and Technology of China (UESTC), China
Lingjiang Kong University of Electronic Science and Technology of China, China
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    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

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  • Apr 15 2020

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  • Dec 31 2020

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