Winner-hopf interpolation aided kalman filter-based channel estimation for MB-OFDM UWB systems in time varying dispersive fading channel

New channel estimation technique is proposed for multiband orthogonal frequency division multiplexing (MBOFDM) ultra wideband (UWB) systems in multipath time varying wireless channels. Two-stage approach has been used to achieve this purpose. In first stage, Winner-Hopf filtration has been employed for the interpolation of unknown channel state information (CSI) using comb-type known pilots. In second stage, interpolated channel statistics are then modeled as autoregressive (AR) process and fed into Kalman filter. Moreover, inorder to suppress intercarrier interference (ICI), an ICI mitigation filter does jointly work with Kalman filter. A mathematical framework is given for the realization of our proposed system. Link level simulation (LLS) urges that this new technique shows exact channel tracking and provides better symbol error rate (SER) performance.