Joint sparsity-inducing DOA estimation for strictly noncircular sources with unknown mutual coupling
ID:104 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:381 Oral Presentation

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

Duration:20min

Session:S Special Session » SS15Integrated Radar-Communication Systems and Networks: Advancements, Challenges, and Opportunities

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Abstract
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
Keywords
DOA estimation; mutual coupling; block-sparse recovery; noncircular sources; reweighted l1-norm optimization
Speaker
Liangliang Li
Hainan University, China

Submission Author
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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    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

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  • Dec 31 2020

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