American Journal of Applied Sciences

Weighted Semi-Blind Channel Identification by Cross Relation Method

Mohamed Tahar Taba and S. Femmam

DOI : 10.3844/ajassp.2009.1264.1269

American Journal of Applied Sciences

Volume 6, Issue 6

Pages 1264-1269

Abstract

Problem statement: The bandwidth efficiency of many communication systems could be improved if the transmission channel was estimated blindly without resort to training sequences. GMSK was a spectrum-efficient modulation scheme and it was adopted as the modulation standard of GSM systems. Approach: However, because of its phase modulation, Gaussian filtering and partial response signalling properties, Results: The simulation results showed great potential of semi-blind identification algorithms, since we used no extra antenna or over-sampling the received signal. Conclusion: GMSK was not a linear modulation. Linear approximation of the GMSK signal made the blind equalization system model applicable for GSM. In the sequel, a linear approximation of GMSK signals was presented and a blind GSM and semi-blind channel identification algorithm based on the cross relation method was suggested.

Copyright

© 2009 Mohamed Tahar Taba and S. Femmam. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.