Particle swarm optimization based channel identification in cross-ambiguity domain

Date
2010
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Source Title
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
Print ISSN
1520-6149
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Publisher
IEEE
Volume
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Pages
2654 - 2657
Language
English
Type
Conference Paper
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Abstract

In this paper, a new array signal processing technique by using particle swarm optimization (PSO) is proposed to identify multipath channel parameters. The proposed technique provides estimates to the channel parameters by finding a global minimum of an optimization problem. Since the optimization problem is formulated in the cross-ambiguity function (CAF) domain of the transmitted signal and the received array outputs, the proposed technique is called as PSO-CAF. The performance of the PSO-CAF is compared with the space alternating generalized expectation maximization (SAGE) technique and with another recently proposed PSO based technique for various SNR values. Simulation results indicate the superior performance of the PSO-CAF technique over mentioned techniques for all SNR values. ©2010 IEEE.

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Keywords
Cross-ambiguity function (CAF), Direction of arrival (DOA), Particle swarm optimization (PSO), Array output, Array signal processing techniques, Channel identification, Channel parameter, Cross-ambiguity function, Direction of arrival (DOA), Global minima, Multipath channels, Optimization problems, Simulation result, SNR values, Space alternating generalized expectation maximization, Transmitted signal, Direction of arrival, Room and pillar mining, Signal processing, Particle swarm optimization (PSO)
Citation
Published Version (Please cite this version)