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Research Article · Free to read · Published 30 June 2009

Weighted Semi-Blind Channel Identification by Cross Relation Method

Mohamed Tahar Taba & S. Femmam

American Journal of Applied Sciences, Volume 6, Issue 6, pp. 1264–1269 · doi.org/10.3844/ajassp.2009.1264.1269

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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.

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Taba, M. T. & Femmam, S. (2009). Weighted Semi-Blind Channel Identification by Cross Relation Method. American Journal of Applied Sciences, 6(6), 1264–1269. https://doi.org/10.3844/ajassp.2009.1264.1269

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Weighted Semi-Blind Channel Identification by Cross Relation MethodAmerican Journal of Applied Sciences · Volume 6, Issue 6 · pp. 1264–1269 · © Science PublicationsDownload