An Efficient Algorithm for Near-field Source Localization

被引：0
|
作者：
Xiao, Song [1 ]
Ni, Mengyu [1 ]
Chen, Hui [1 ]
机构：
[1] Early Warning Acad, Wuhan, Hubei, Peoples R China
来源：
2018 IEEE 3RD INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP) | 2018年
关键词：
Array signal processing; Near-field; High-order cumulant; ESPRIT;
D O I：
暂无
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 method for near-field localization based on the minimum redundant symmetric array and high-order cumulant is proposed, which constructs a fourth-order cumulant matrix related only to the azimuth angle to estimate the direction-of arrival (DOA) by the multiple signal classification (MUSIC) algorithm. Then the range of sources is performed with the estimated DOA through finite one-dimensional searching. The algorithm expands the array aperture and enhances degrees of freedom, therefore it can increase the estimation accuracy, resolution and the number of sources. In addition, the algorithm transforms two-dimensional search to the one-dimensional search. The simulations show the effectiveness of the proposed method.
引用
收藏
页码：357 / 361
页数：5
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