Maximum likelihood DOA estimation using particle swarm optimization algorithm

被引：0
|
作者：
Zeng Jiankui [1 ]
He zishu [1 ]
Liu benyong [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Peoples R China
来源：
PROCEEDINGS OF 2006 CIE INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2 | 2006年
关键词：
PSO; DOA estimation; maximum likelihood;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Direction-of-arrival (DOA) estimation is an important problem. Many algorithms have been proposed. The Maximum Likelihood. (ML) is one of the good solutions. This paper presents an application of particle swarm optimization (PSO) developed for obtaining the global optimal solution of ML DOA estimation. It overcomes the local optima problem existing in some ML DOA estimation algorithms and improves the estimation accuracy. The computation complexity is modest.
引用
收藏
页码：1101 / +
页数：2
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