Improved performance of blind equalization using prior knowledge of transmitter filter

Recent progress by several groups around the world shows that moving average linear time-invariant channels that distort digital communication signals can be identified using only second-order statistics, provided that certain conditions on the channel and data are met. In this paper, a subchannel response matching channel identification method is modified to exploit prior knowledge of the pulse-shaping filter. Computer simulations demonstrate the method's performance as a channel estimator and as an equalizer compared to appropriate lower bounds on the normalized channel estimation error and the bit error rate.<<ETX>>

[1]  Sumit Roy,et al.  A new blind time-domain channel identification method based on cyclostationarity , 1994, IEEE Signal Processing Letters.

[2]  Lang Tong,et al.  Blind identification and equalization based on second-order statistics: a time domain approach , 1994, IEEE Trans. Inf. Theory.

[3]  Jitendra K. Tugnait,et al.  Fractionally spaced blind equalization of FIR channels under symbol timing offsets , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[4]  Lang Tong,et al.  A deterministic approach to blind equalization , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[5]  S. V. Schell,et al.  Blind identification and equalization of MA channels for QAM communication signals , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.