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Multipath channel identification by using global optimization in ambiguity function domain
Linköping University, Department of Electrical Engineering. Linköping University, The Institute of Technology.
Bilkent University.
2011 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 91, no 11, 2647-2660 p.Article in journal (Refereed) Published
Abstract [en]

A new transform domain array signal processing technique is proposed for identification of multipath communication channels. The received array element outputs are transformed to delay-Doppler domain by using the cross-ambiguity function (CAF) for efficient exploitation of the delay-Doppler diversity of the multipath components. Clusters of multipath components can be identified by using a simple amplitude thresholding in the delay-Doppler 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.

Place, publisher, year, edition, pages
Elsevier , 2011. Vol. 91, no 11, 2647-2660 p.
Keyword [en]
Cross ambiguity function (CAF), Particle swarm optimization (PSO), Channel identification, Maximum likelihood (ML)
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-70316DOI: 10.1016/j.sigpro.2011.06.004ISI: 000293723300019OAI: diva2:438365
Available from: 2011-09-02 Created: 2011-09-02 Last updated: 2011-09-02

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ReferencesLink to record
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