Title :
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
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;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343252
