Multipath channel identification by using global optimization in ambiguity function domain

Date

2011-06-15

Authors

Guldogan, M. B.
Arıkan, Orhan

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Abstract

A new transform domain array signal processing technique is proposed for identification of multipath communication channels. The received array element outputs are transformed to delayDoppler domain by using the cross-ambiguity function (CAF) for efficient exploitation of the delayDoppler diversity of the multipath components. Clusters of multipath components can be identified by using a simple amplitude thresholding in the delayDoppler domain. Particle swarm optimization (PSO) can be used to identify parameters of the multipath components in each cluster. The performance of the proposed PSO-CAF technique is compared with the space alternating generalized expectation maximization (SAGE) technique and with a recently proposed PSO based technique at various SNR levels. Simulation results clearly quantify the superior performance of the PSO-CAF technique over the alternative techniques at all practically significant SNR levels.

Source Title

Signal Processing

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ELSEVIER

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Keywords

Channel identification, Cross ambiguity function (CAF), Maximum likelihood (ML), Particle swarm optimization (PSO)

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Published Version (Please cite this version)

Language

English

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Article