TY  - JOUR
AU  - Taba, Mohamed Tahar 
AU  - Femmam, S. 
PY  - 2009
TI  - Weighted Semi-Blind Channel Identification by Cross Relation Method
JF  - American Journal of Applied Sciences
VL  - 6
IS  - 6
DO  - 10.3844/ajassp.2009.1264.1269
UR  - https://thescipub.com/abstract/ajassp.2009.1264.1269
AB  - 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.