101 / 2019-12-14 06:12:00
Mainlobe Jamming Suppression Via Independent Component Analysis for Polarimetric SIMO Radar
mainlobe jamming suppression; independent component analysis; polarimetric SIMO radar
全文录用
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
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.
重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询