A gridless method for DOA estimation under the coexistence of mutual coupling and unknown nonuniform noise
ID:126 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:398 Oral Presentation

Start Time:2020-06-08 15:00(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS01Robust Super-Resolution DOA Estimation and Its Applications

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Abstract
This paper addresses the issue of direction-of-arrival (DOA) estimation under the coexistence of mutual coupling and nonuniform noise. We first construct a selection matrix based on the structural characteristics of the mutual coupling matrix (MCM) to form a new manifold matrix which is not affected by the mutual coupling effect. Then, we employ the covariance fitting criteria to form a semidefinite programming for DOA estimation. Compared to most of existing sparse methods, our method does not require discretization of the angle space, hence is able to achieve super-resolution. Simulations are carried out to verify the effectiveness of the propose method.
Keywords
Speaker
Dan Li
Nanjing University of Posts and Telecommunications, China

Submission Author
Dan Li Nanjing University of Posts and Telecommunications, China
Yuanyuan Jiang Nanjing University of Posts and Telecommunications, China
Xiaohuan Wu Nanjing University of Posts and Telecommunications, China
Wei-Ping Zhu Concordia University, Canada
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  • Conference Date

    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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