The Data Reuse LMS Channel Estimation Algorithm in Turbo Equalization
Hua Xu, Gaofei Sun, Ming Li · 2009
The channel estimation is a vital part of turbo equalization. The structure of combined channel estimation and turbo equalization iterative update is presented in this paper. The low computation complexity algorithm called soft decision feedback LMS algorithm is used in channel estimation and the data-reused method is used in the initial channel estimation to overcome the problem of low convergence rate for LMS algorithm. The result of simulation shows that the turbo equalizer with this channel estimation method not only has good performance but also has ability to tracking the fast varying channel.