This paper presents an algorithm for performing effective channel estimation for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems when they encounter a fast fading environment. The algorithm models the parameters to be estimated using an auto-regressive model which is implemented using Burg Method. The channel estimation is performed using an Extended Kalman Filter (EKF). The effect of intercarrier interference (ICI) is removed by QR decomposing the channel matrix, which effectively leads to estimation of the data symbol. The channel is modeled as L-path parametric Rayleigh flat fading. The Rayleigh complex amplitudes (CA) and carrier frequency offset are jointly estimated for this channel. © 2012 IEEE.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@4253e0bb ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@10c73702 Through org.apache.xalan.xsltc.dom.DOMAdapter@6ec6ce9; Conference Code:89815
G. Ignatius, U. Varma, M. Krishna, Krishna, N. S., Sachin, P. V., and Sudheesh, P., “Extended Kalman filter based estimation for fast fading MIMO channels”, in 2012 International Conference on Devices, Circuits and Systems, ICDCS 2012, Coimbatore, 2012, pp. 466-469.