A Low-Complexity DOA Estimation Algorithm for Distributed Source Localization

被引:0
|
作者
Tian, Quan [1 ]
Cai, Ruiyan [1 ]
机构
[1] Taizhou Univ, Sch Elect & Informat Engn, Taizhou 318000, Peoples R China
基金
中国国家自然科学基金;
关键词
Direction-of-arrival estimation; Estimation; Signal processing algorithms; Signal to noise ratio; Sensors; Mathematical models; Computational modeling; Direction of arrival (DOA) estimation; distributed sources; low complexity; signal model;
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
As a key aspect of radio monitoring and positioning, direction of arrival (DOA) techniques have been widely used in wireless communications, radar detection, and radio astronomy. DOA estimation can be used to locate a source in space and provide technical support for signal enhancement. However, in complex electromagnetic environments, distributed source models have high complexity; thus, the existing DOA estimation algorithms for distributed sources cannot adapt to application scenarios that require high real-time performance. This letter derives a low-complexity distributed source model and proposes a novel DOA estimation algorithm based on the minimum variance distortionless response criterion. The experimental results demonstrate that the proposed algorithm is superior to some other algorithms in terms of parameter estimation accuracy and source resolution for distributed sources.
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页数:4
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