Direction of Arrive Estimation in Spherical Harmonic Domain Using Super Resolution Approach

Jie Pan; Yalin Zhu; Changling Zhou

Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II

Research Article

Direction of Arrive Estimation in Spherical Harmonic Domain Using Super Resolution Approach

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@INPROCEEDINGS{10.1007/978-3-319-73447-7_21,
    author={Jie Pan and Yalin Zhu and Changling Zhou},
    title={Direction of Arrive Estimation in Spherical Harmonic Domain Using Super Resolution Approach},
    proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II},
    proceedings_a={MLICOM},
    year={2018},
    month={2},
    keywords={DOA estimation Spherical harmonics Atomic norm},
    doi={10.1007/978-3-319-73447-7_21}
}

Jie Pan
Yalin Zhu
Changling Zhou
Year: 2018
Direction of Arrive Estimation in Spherical Harmonic Domain Using Super Resolution Approach
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_21

Jie Pan¹^,*, Yalin Zhu¹, Changling Zhou¹

1: Yangzhou University

*Contact email: panjie1982@nuaa.edu.cn

Abstract

Spherical array plays important role in 3D targets localization. In this paper, we develop a novel DOA estimation method for the spherical array with super resolution approach. The proposed method operates in spherical harmonic domain. Based on the atomic norm minimization, we develop a gridless L1-SVD algorithm in spherical harmonic domain and then we adopt the spherical ESPRIT method to two-dimensional DOA estimation. Compared to the previous work, the proposed method acquires better estimation performance. Numerical simulation results verify the performance of the proposed method.

Keywords: DOA estimation Spherical harmonics Atomic norm

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73447-7_21