NDLI: Direction finding of propagator method using adaptive cultural algorithm in the impulsive noise

Content Provider	IEEE Xplore Digital Library
Author	Ming Diao Hongyuan Gao Xiukun Yang
Copyright Year	2009
Description	Author affiliation: College of Information and Communications Engineering, Harbin Engineering University, 150001, China (Ming Diao; Hongyuan Gao; Xiukun Yang)
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.
Starting Page	176
Ending Page	180
File Size	115795
Page Count	5
File Format	PDF
ISBN	9781424447541
DOI	10.1109/ICICISYS.2009.5358191
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Direction finding Orthogonal propagator method Adaptive arrays Impulsive noise Minimum redundancy linear arrays Cultural differences Covariation matrix Working environment noise Acoustic noise Gaussian noise Signal processing algorithms Cultural algorithm Apertures Global communication Direction of arrival estimation
Content Type	Text
Resource Type	Article

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