Proceedings of the 2006 international conference on Wireless communications and mobile computing
A synchronization algorithm based on cyclostationarity in a pilot-embedded OFDM system
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Steady-state Kalman filtering for channel estimation in OFDM systems utilizing SNR
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Joint data QR-detection and Kalman estimation for OFDM time-varying Rayleigh channel complex gains
IEEE Transactions on Communications
IEEE Transactions on Wireless Communications
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A novel on-line channel estimation and tracking method for wireless OFDM systems based on comb-type pilots is developed. Long training sequences are used to estimate the channel response in the frequency domain, and a scalar Kalman filtering scheme is designed to refine the channel estimation. To track the channel variations during a long burst packet, pilots estimated via vector Kalman filtering are used to interpolate linearly and modify the estimated channel response. Both channel AWGN and state variable noise variance are adaptively estimated. Furthermore, to overcome phase changes across symbols owing to the frequency offset estimation error, a pilot based phase compensation scheme is incorporated. The complete algorithm can be processed in real time with much better performance than training sequence based or pilot based channel estimation methods. Simulation results based on the IEEE 802.11a wireless LAN standard are presented.