Estimation of Closely-Spaced Multipaths Via Extended Kalman Filter in WCDMA Environments
نویسندگان
چکیده
This paper introduces an extended Kalman filter (EKF) based algorithm for the estimation of closely-spaced path delays and complex coefficients in WCDMA environments. The EKF might be applied either at sample or at symbol level. The model parameters and the sensitivity to the initialization conditions are described for a practical downlink WCDMA scenario, employing root raised cosine pulse shapes. Simulation results show that EKF is fast convergent both at symbol and at sample level, and the mean delay error is at most one sample. We will show also the conditions when the convergence is not guaranteed.
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