3-D temporal-spatial-based near-field source localization considering amplitude attenuation

被引：11

作者：

Jiang, Zhiwei ^{[1
]}

Chen, Hua ^{[1
,2
]}

Liu, Wei ^{[3
]}

Wang, Gang ^{[1
]}

机构：

[1] Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo 315211, Peoples R China

[2] Key Lab Intelligent Percept & Adv Control State E, Dalian 116600, Peoples R China

[3] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

SIGNAL PROCESSING | 2022年 / 201卷

基金：

英国工程与自然科学研究理事会;

关键词：

Source localization; Near -field sources; Amplitude attenuation; Temporal; -spatial; RANK REDUCTION ESTIMATOR; FAR-FIELD;

D O I：

10.1016/j.sigpro.2022.108735

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A three-dimensional (3-D) localization algorithm for multiple near-field (NF) sources considering am-plitude attenuation is proposed in this paper. Firstly, we use the symmetry of the array and the delay autocorrelation of NF signals to construct the virtual received data, whose phase factor is linear with the sensor position. By using the symmetry of amplitude attenuation of the virtual received data, a one-dimensional (1-D) peak search estimator is constructed to obtain the first angle parameter. Then, the estimated result is substituted into another spectral peak search function based on the original data to estimate the range parameter. Finally, a single-snapshot virtual received data set is generated, and the remaining angle parameter is solved by a phase retrieval operation. The proposed algorithm can auto-matically match the 3-D parameters, and has a stable estimation performance considering amplitude at-tenuation, as demonstrated by simulation results.(c) 2022 Published by Elsevier B.V.

引用

页数：8

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