Title: Joint estimation of correlated multi-carrier DS-CDMA mobile fading channels based on optimal filters
Authors: Ali Jamoos
Addresses: Department of Electronic Engineering, Al-Quds University, P.O. Box 20002, Jerusalem, Palestine
Abstract: This paper deals with the joint estimation of rapidly time-varying and correlated Rayleigh fading channels in synchronous multi-carrier direct-sequence code-division-multiple-access (MC-DS-CDMA) systems. Usually, when the multiple carrier fading channels are modelled by autoregressive (AR) processes, they can be estimated separately by means of an optimal Kalman filter. However, a loss in performance can be expected when the channels are correlated. To take into account these correlations, the multiple carrier fading processes are stored in a vector, modelled as vector AR process, and estimated jointly by means of an optimal Kalman filter. Nevertheless, this requires the simultaneous estimation of the AR parameter matrices in the vector AR process. To avoid a non-linear approach such as the extended Kalman filter (EKF), this estimation issue can be solved by using dual Kalman filters. A comparative study on channel estimation is carried out between the proposed joint estimation scheme, the separate estimation counterpart and the standard least mean square (LMS) based estimator.
Keywords: multi-carrier direct-sequence CDMA; DS-CDMA; correlated fading channels; joint estimation; autoregressive models; separate estimation; optimal filters; dual Kalman filters; channel estimation; modelling.
International Journal of Systems, Control and Communications, 2012 Vol.4 No.1/2, pp.107 - 119
Available online: 19 Mar 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article