Scale Invariant Norm Ratio Regularized Sparse DOA Estimation

被引：0
|
作者：
Wang S.-J. [1 ]
Zhang H. [1 ,2 ]
Du Z.-H. [3 ]
机构：
[1] School of Construction Machinery, Chang’an University, Shaanxi, Xi’an
[2] Key Laboratory of Road Construction Technology and Equipment, Ministry of Education, Chang’an University, Shaanxi, Xi’an
[3] School of Navigation, Northwestern Polytechnical University, Shaanxi, Xi’an
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2024年 / 52卷 / 01期
基金：
中国国家自然科学基金;
关键词：
direction of arrival; scale-invariant; sparse optimization;
D O I：
10.12263/DZXB.20221343
中图分类号：
学科分类号：
摘要：
Direction of arrival (DOA) estimation uses sensor arrays to identify the direction of sound sources, while traditional DOA estimation methods ignore the sparsity of sound sources in spatial distribution. The penalty function used by current convex sparse DOA estimation methods and non-convex sparse DOA estimation methods do not consider the important scale invariance feature of sparse ℓ0 norm, which cannot accurately describe the spatial sparse structure of the sound source, and it is difficult to obtain high DOA estimation accuracy. For this reason, firstly, the scale-invariance norm ratio function is used to approximate the ℓ0 norm and characterize the spatial sparse structure of the sound source in this paper; Secondly, aiming at the non-convex property of the norm ratio function, a smooth approximation function is constructed by using the idea of smoothing; Then, the scale-invariant ℓp-over-ℓq regularized sparse DOA estimation model is constructed, and meanwhile an optimization algorithm is developed for it. A lot of simulation analysis demonstrate that the proposed algorithm has higher DOA estimation accuracy and better performance under different SNR and snapshot numbers than the popular multi-snapshot DOA estimation algorithm. The analysis results of S5 events in SWellEx-96 sea trial experiment verified the effectiveness of the proposed algorithm. © 2024 Chinese Institute of Electronics. All rights reserved.
引用
收藏
页码：298 / 310
页数：12
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