Hybrid Near- and Far-field Source Localization Using Symmetric Sparse Array

被引：0
|
作者：
Zhang, Jiawen [1 ]
Qi, Junwei [1 ]
Li, Yingsong [2 ]
机构：
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
[2] Anhui Univ, Key Lab Intelligent Comp & Signal Proc, Minist Educ, Hefei, Anhui, Peoples R China
来源：
2022 IEEE 10TH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION, APCAP | 2022年
关键词：
Source localization; difference coarray (DCA); linear nonuniform arrays (LNAs); direction of arrival (DOA); MIXED NEAR-FIELD; PASSIVE LOCALIZATION; ALGORITHM;
D O I：
10.1109/APCAP56600.2022.10069591
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：
Recently, symmetric linear nonuniform arrays (SLNAs) have been promoted for hybrid near-field (NF) and far-field (FF) source localization. A new SLNA based on symmetric nested array (SNA) is presented in the paper. The proposed array and its difference coarray (DCA) configuration can be expressed in closed-form. Comparing to the existing SLNAs with same sensors number, the proposed array can locate more sources and provide longer consecutive lags, which optimizes the detection results. Simulation results prove that the designed array outperforms traditional compressed symmetric nested array (CSNA).
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