Particle swarm optimization based channel identification in cross-ambiguity domain
Author
Güldoğan, Mehmet Burak
Arıkan, Orhan
Date
2010Source Title
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
Print ISSN
1520-6149
Publisher
IEEE
Pages
2654 - 2657
Language
English
Type
Conference PaperItem Usage Stats
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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.
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)