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
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.
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