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Multipath channel identification by using global optimization in ambiguity function domain
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- Burak Guldogan, Mehmet (author)
- Linköpings universitet,Institutionen för systemteknik,Tekniska högskolan
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- Arikan, Orhan (author)
- Bilkent University
- (creator_code:org_t)
- Elsevier, 2011
- 2011
- English.
- In: Signal Processing. - : Elsevier. - 0165-1684 .- 1872-7557. ; 91:11, s. 2647-2660
- Journal article (peer-reviewed)
Abstract
Subject headings
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- 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.
Keyword
- Cross ambiguity function (CAF)
- Particle swarm optimization (PSO)
- Channel identification
- Maximum likelihood (ML)
- TECHNOLOGY
- TEKNIKVETENSKAP
Publication and Content Type
- ref (subject category)
- art (subject category)
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