首页|Two-Dimensional DOA Estimation Using One-Dimensional Search for Spherical Arrays

Two-Dimensional DOA Estimation Using One-Dimensional Search for Spherical Arrays

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A Reduced-dimensional spherical harmonics MUSIC (RD-SHMUSIC) is proposed to solve the problem of high computational complexity of Multiple signal classification (MUSIC) algorithm for Two-dimensional (2-D) Direction of arrival (DOA) estimation.The proposed algorithm first expresses the spherical harmonic steering vector as a linear weight of a uniform phase vectors.Via the Lagrange multiplier method,we can get a new search function to estimate elevations.At second step,the algorithm expresses the steering vector in another form,a linear weight of a vector which is constructed by associated Legendre functions.A search function to estimate azimuths can also be obtained.The proposed method only needs One dimensional (1-D) angle search,which means it has a large reduction of computational complexity compared to the traditional Spherical harmonics MUSIC (SHMUSIC).The simulation results show that the accuracy of the proposed method is better than Two-stage decoupled approach (TSDA) algorithm,and has close performance to that of SHMUSIC.

Direction of arrival estimationSpherical arraysReduced-dimensional spherical harmonics MUSICComputational complexity

HUANG Qinghua、FENG Jiajun、FANG Yong

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Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China

This work was supported by the National Natural Science Foundation of ChinaShanghai Science and Technology Commission Scientific Research Project of China

6157127916010500100

2019

10.1049/cje.2019.08.009

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(6)
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