3-D Mixed Far-Field and Near-Field Sources Localization With Cross Array

被引:22
|
作者
Wu, Xiaohuan [1 ]
Yan, Jun [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Key Lab Broadband Wireless Commun & Sensor Networ, Nanjing 210003, Peoples R China
基金
中国国家自然科学基金;
关键词
Mixed sources localization; cross array; covariance matching criterion; compressive sensing; OF-ARRIVAL ESTIMATION; COPRIME ARRAY; SINGLE-SOURCE; SPARSE; ALGORITHM; MUSIC;
D O I
10.1109/TVT.2020.2985903
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
This correspondence proposes a localization method for mixed far-field (FF) and near-field (NF) sources based on cross arrays where two-dimensional (2-D) direction-of-arrival (DOA) and range estimation are considered. For 2-D DOA estimation, we first construct a range-free cumulant-based vector and employ the covariance matching criterion and Vandermonde decomposition theorem to retrieve DOA information. We then build a sparse model with respect to range parameter and solve an l(1)-norm minimization problem to obtain range estimates. Our method enjoys the following advantages: 1) our method can locate mixed FF and NF sources; 2) the azimuth, elevation and range can be automatically paired; 3) array aperture loss can be avoided. Simulation results show the effectiveness of our method.
引用
收藏
页码:6833 / 6837
页数:5
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