Title :
The Data Reuse LMS Channel Estimation Algorithm in Turbo Equalization
Author :
Xu, Hua ; Sun, Gaofei ; Li, Ming
Author_Institution :
Telecommun. Eng. Inst., Air Force Eng. Univ., Xi´´an, China
Abstract :
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.
Keywords :
channel estimation; iterative methods; least mean squares methods; turbo codes; channel estimation; computation complexity algorithm; data reuse LMS channel estimation algorithm; data-reused method; iterative methods; least mean squares methods; soft decision feedback LMS algorithm; turbo code; turbo equalization; Channel estimation; Computational complexity; Convergence; Data engineering; Decision feedback equalizers; Fading; Iterative algorithms; Iterative decoding; Iterative methods; Least squares approximation;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5303687
