Localization for Mixed Near-Field and Far-Field Sources by Interlaced Nested Array

被引：5
|
作者：
Liu, Sheng [1 ]
Zhao, Jing [1 ]
Yuan, Ziqing [1 ]
Zhou, Ren [1 ]
Xiao, Min [1 ]
Lu, Chunyan [1 ]
机构：
[1] Tongren Univ, Sch Data Sci, Tongren 554300, Peoples R China
来源：
PROGRESS IN ELECTROMAGNETICS RESEARCH M | 2019年 / 82卷
基金：
中国国家自然科学基金;
关键词：
21;
D O I：
10.2528/PIERM19042501
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：
In this paper, a localization algorithm for mixed near-field and far-field sources by an interlaced nested array is proposed. The fourth-order cumulants (FOCs) of the received data are used to construct a FOC matrix, by which the angles of all signals can be estimated. Then, an effective method is driven to separate the directions of arrival (DOAs) of near-field and far-field sources without extreme value search. The ranges of the near-field sources can be estimated by one-dimensional (1D) search. Compared with existing nested array-based algorithms, the proposed algorithm can distinguish more sources and has higher estimation accuracy. Some simulation results are shown to certify the superiority of proposed algorithm.
引用
收藏
页码：107 / 115
页数：9
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