Maximum Likelihood DOA Estimation Using Particle Swarm Optimization Algorithm

Author

Jiankui, Zeng ; Zishu, He ; Benyong, Liu

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

4

Abstract

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

Keywords

computational complexity; direction-of-arrival estimation; maximum likelihood estimation; particle swarm optimisation; PSO; computation complexity; direction-of-arrival estimation; maximum likelihood DOA estimation; particle swarm optimization algorithm; Bandwidth; Direction of arrival estimation; Maximum likelihood estimation; Narrowband; Particle swarm optimization; Propagation delay; Seismology; Sensor arrays; Sensor phenomena and characterization; Sonar applications; DOA Estimation; Maximum Likelihood; PSO;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343252

Filename

4148358