Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Intercarrier interference in MIMO OFDM
IEEE Transactions on Signal Processing
Subspace-based blind and semi-blind channel estimation for OFDMsystems
IEEE Transactions on Signal Processing
Optimal training for block transmissions over doubly selective wireless fading channels
IEEE Transactions on Signal Processing
Blind OFDM channel estimation through simple linear precoding
IEEE Transactions on Wireless Communications
Pilot tone selection for channel estimation in a mobile OFDM system
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
Iterative Estimation and Equalization for SCCP Over Doubly Selective Channels
Wireless Personal Communications: An International Journal
| Hi-index | 0.00 |
Orthogonal frequency division multiplexing (OFDM) technique, when used in wireless environments, is known to be robust against frequency selective fading. However, when the channel shows time selective fading, rapid variations destroy the subcarrier orthogonality and introduce inter-carrier interference (ICI). The use of ICI mitigation schemes requires the availability of channel state information (CSI) at the receiver, which is a non-trivial task in fast fading systems. In our work, we have addressed the problem of estimation of rapidly varying channels for OFDM systems. The channel is modeled using complex exponentials as basis functions and the estimation process makes use of the cyclic prefix (CP) part available in OFDM symbols as training. The system is viewed as a state space model and Kalman filter is employed to estimate the channel. Following this, a time domain ICI mitigation filter that maximizes the received SINR (signal to interference plus noise ratio) is employed for equalization. This method performs considerably well in terms of MSE as well as BER at very high Doppler spreads.