Multipath channel identification by using global optimization in ambiguity function domain
2011 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 91, no 11, 2647-2660 p.Article in journal (Refereed) Published
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.
Cross ambiguity function (CAF), Particle swarm optimization (PSO), Channel identification, Maximum likelihood (ML)
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-70316DOI: 10.1016/j.sigpro.2011.06.004ISI: 000293723300019OAI: oai:DiVA.org:liu-70316DiVA: diva2:438365