DocumentCode :
506718
Title :
Direction finding of propagator method using adaptive cultural algorithm in the impulsive noise
Author :
Diao, Ming ; Gao, Hongyuan ; Yang, Xiukun
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
Volume :
3
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
176
Lastpage :
180
Abstract :
A virtual multi-element uniform linear array is constructed through covariation matrix of the minimum redundant array in the presence of impulsive noise. Based on virtual multi-element uniform linear array and reconstructed covariation matrix, a novel orthogonal propagator method (OPM) is proposed. The proposed algorithm utilized few virtual elements and expanded the number of effective aperture array, while significantly improving the performance of the original OPM algorithms. In order to fit the proposed direction finding algorithm based on the minimum redundant array and covariation matrix, an adaptive cultural algorithm is designed for objective function of direction finding. Monte-Carlo simulations have proved that the proposed method has some good performance such as high resolution in the presence of impulse noise and the capability of using a small number of elements to find more signal sources.
Keywords :
Monte Carlo methods; array signal processing; covariance matrices; direction-of-arrival estimation; impulse noise; Monte-Carlo simulations; adaptive cultural algorithm; aperture array; covariation matrix; direction finding; impulsive noise; minimum redundant array; orthogonal propagator method; virtual multielement uniform linear array; Acoustic noise; Adaptive arrays; Algorithm design and analysis; Apertures; Cultural differences; Direction of arrival estimation; Gaussian noise; Global communication; Signal processing algorithms; Working environment noise; covariation matrix; cultural algorithm; direction finding; impulsive noise; minimum redundancy linear arrays; orthogonal propagator method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358191
Filename :
5358191
Link To Document :
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