Joint sparsity-inducing DOA estimation for strictly noncircular sources with unknown mutual coupling
编号:104 访问权限:仅限参会人 更新:2020-08-05 10:17:28 浏览:362次 口头报告

报告开始:2020年06月08日 14:40(Asia/Shanghai)

报告时间:20min

所在会场:[S] Special Session [SS15] Integrated Radar-Communication Systems and Networks: Advancements, Challenges, and Opportunities

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摘要
In this paper, a sparsity-inducing DOA estimation method is proposed for strictly noncircular sources with unknown mutual coupling. In the proposed method, the block-sparse recovery model is firstly formulated via parameterizing the steering vector without losing the array aperture. Then, taking the noncircularity of sources into account, a joint sparsity-inducing framework combined with the reweighted norm optimization is constructed to estimate DOA, where the weighted matrix is structured by the noncircular MUSIC-like (NC MUSIC-like) spectrum function to strengthen the sparsity. Finally, DOA estimation can be realized via screening the position of non-zero blocks of the recovered block sparse matrix. Some simulations are implemented to demonstrate that the proposed method shows the effectiveness and superiority with unknown mutual coupling
关键词
DOA estimation; mutual coupling; block-sparse recovery; noncircular sources; reweighted l1-norm optimization
报告人
Liangliang Li
Hainan University, China

稿件作者
Liangliang Li Hainan University, China
Dan Luo Chinese Institute of Electronics, China
Guoan Bi Nanyang Technological University, Singapore
Xianpeng Wang Hainan University, China
Dandan Meng University of Hainan, China
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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
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