Combining GA and Iterative Searching DOA Estimation for CDMA Signals

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Title:	Combining GA and Iterative Searching DOA Estimation for CDMA Signals
Authors:	Hung, Jui-Chung;洪瑞鍾;Chang, Ann-Chen;張安成
Contributors:	臺北市立教育大學資訊科學系
Keywords:	Adaptive array;Code-division multiple access;Direction-of-arrival estimation;Genetic algorithm;Noise subspace;Iterative searching
Date:	2010
Issue Date:	2017-07-24 11:28:09 (UTC+8)
Abstract:	This paper deals with direction-of-arrival (DOA) estimation based on iterative searching technique for code-division multiple access signals. It has been shown that the iterative searching technique is more likely to converge to a local maximum, causing errors in DOA estimation. In conjunction with a genetic algorithm for selecting initial search angle, we present an efficient approach to achieve the advantages of iterative DOA estimation with fast convergence and more accuracy estimate over existing conventional spectral searching methods. Finally, several computer simulation examples are provided for illustration and comparison.
Relation:	Neural Computing and Applications，P1003-1011
Appears in Collections:	[Department of Computer Science] Periodical Articles

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