Guldogan, M. B.Arıkan, Orhan2016-02-082016-02-082011-06-150165-1684http://hdl.handle.net/11693/21726A 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.EnglishChannel identificationCross ambiguity function (CAF)Maximum likelihood (ML)Particle swarm optimization (PSO)Article10.1016/j.sigpro.2011.06.004