DocumentCode :
2715880
Title :
Signal Parameter Extraction via Component Cancellation Using Evolutionary Programming
Author :
Choi, In-Sik ; Rhee, Ill-Keun ; Lee, Young-Hoon
Author_Institution :
Hannam Univ., Daejeon
Volume :
2
fYear :
2007
fDate :
6-8 Dec. 2007
Firstpage :
458
Lastpage :
462
Abstract :
In this paper, a novel direction of arrival (DOA) estimation scheme is proposed. The proposed algorithm, called the signal parameter extraction via component cancellation (SPECC), is an evolutionary optimization-based method and extracts the amplitudes of signal sources and DOA impinging on a sensor array in a step-by-step procedure, different from other algorithms such as MUSIC, root-MUSIC, ESPRIT, etc., which extract those parameters at the same time. Our algorithm has robustness to noise and high resolution in DOA estimation. In the simulation, comparisons with root-MUSIC, which has been known as one of the best algorithms, are presented to illustrate the superiority of the proposed SPECC algorithm.
Keywords :
direction-of-arrival estimation; evolutionary computation; feature extraction; signal sources; DOA; component cancellation; direction of arrival estimation; evolutionary programming; signal parameter extraction; signal sources; Algorithms; Direction of arrival estimation; Genetic programming; Multiple signal classification; Noise robustness; Optimization methods; Parameter extraction; Radar antennas; Sensor arrays; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Generation Communication and Networking (FGCN 2007)
Conference_Location :
Jeju
Print_ISBN :
0-7695-3048-6
Type :
conf
DOI :
10.1109/FGCN.2007.200
Filename :
4426281
Link To Document :
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