Combining GA and iterative searching DOA estimation for CDMA signals

Authors:
Ann-Chen Chang;Jui-Chung Hung
Affiliations:
Ling Tung University, Department of Information Technology, 408, Taichung, Taiwan;Ling Tung University, Department of Information Technology, 408, Taichung, Taiwan
Venue:
Neural Computing and Applications
Year:
2010

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Modified particle swarm optimization structure approach to direction of arrival estimation

Applied Soft Computing

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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.