relation: https://khub.utp.edu.my/scholars/3890/
title: A modified iterative version of adaptive Kalman channel equalization for multipath fading environment
creator: Raza, H.
creator: Shafique, H.M.
creator: Wani, M.Y.
creator: Awais, M.
description: In this paper, a new modified iterative version of adaptive Kalman filtering algorithm is introduced which uses the short training sequences to adjust its filter weights with respect to time varying channel environment. Robustness against time varying channel is on the bases of Kalman gain. The modified algorithm also uses a measurement noise covariance that leads to fast convergence with respect to Signal to Noise (SNR) ratio. Simulation results show that the modified iterative algorithm presents robustness as well as minimum mean square error and less error probability when compared to Recursive Least Square (RLS) algorithm and Kalman channel equalizer. © 2013 IEEE.
publisher: IEEE Computer Society
date: 2013
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Raza, H. and Shafique, H.M. and Wani, M.Y. and Awais, M.  (2013) A modified iterative version of adaptive Kalman channel equalization for multipath fading environment.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893424704&doi=10.1109%2fCSUDET.2013.6670984&partnerID=40&md5=2ee6c7e040d95e95432b912765d7f5ab
relation: 10.1109/CSUDET.2013.6670984
identifier: 10.1109/CSUDET.2013.6670984