281 / 2020-01-05 11:03:00
Joint sparsity-inducing DOA estimation for strictly noncircular sources with unknown mutual coupling
DOA estimation; mutual coupling; block-sparse recovery; noncircular sources; reweighted l1-norm optimization
全文录用
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
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
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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