DocumentCode :
2167235
Title :
A maximum likelihood function approach to direction estimation based on evolutionary algorithms
Author :
Yong, Qiang ; LiLi, Wu ; Licheng, Jiao
Author_Institution :
Key Lab for Radar Signal Process., Xidian Univ., Xi´´an, China
fYear :
2003
fDate :
27-30 Sept. 2003
Firstpage :
27
Lastpage :
31
Abstract :
A maximum likelihood method based on evolutionary algorithms (EA) is presented to estimate the direction of arrival (DOA) of coherent signals. For the capability of fast global searching, and independence of initial parameters, this approach offers real time, high resolution in DOA estimation. Simulation results show its efficiency and robust.
Keywords :
direction-of-arrival estimation; evolutionary computation; maximum likelihood detection; maximum likelihood estimation; simulation; coherent signals; direction estimation; direction-of-arrival; evolutionary algorithms; fast global searching; high resolution estimation; maximum likelihood function; real time estimation; Computational intelligence; Evolutionary computation; Maximum likelihood estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN :
0-7695-1957-1
Type :
conf
DOI :
10.1109/ICCIMA.2003.1238095
Filename :
1238095
Link To Document :
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