Abstract

Blind equalizers may be implemented with linear prediction error filters (LPEF) but the delay (D) cannot be controlled with onestep predictors to minimize the mean square error (MSE). Consequently, multi-step prediction error filters (MSPEF) has been suggested as a solution to the problem. In this paper, a blind equalizer composed of the Godard algorithm (CMA) cascaded with MSPEF is proposed (CMA_MSPEF), and we extract the optimum value of step for multi-step prediction blind equalizer. Simulation results show comparable improvements of the proposed equalizer relative to the LPEF or the MSPEF equalizers with optimum step.

Downloads

Download data is not yet available.

We Recommend


Author's Affiliation
Article Details

Issue: Vol 6 No 12 (2017)
Page No.: 22264-22275
Section: Articles
DOI:


 How to Cite
Badran, M. .S. T. (2017). Optimum Step for multistep prediction blind equalizer. International Journal Of Engineering And Computer Science, 6(12), 22264-22275. Retrieved from http://ijecs.in/index.php/ijecs/article/view/2563

 Cited by


Article level Metrics by Paperbuzz/Impactstory:

 Statistics at Article Level
HTML = 9 times
PDF   = 32 times
Total   = 32 times