Research Article Open Access

Weighted Semi-Blind Channel Identification by Cross Relation Method

Mohamed Tahar Taba1 and S. Femmam2
  • 1 , Afganistan
  • 2 ,
American Journal of Applied Sciences
Volume 6 No. 6, 2009, 1264-1269

DOI: https://doi.org/10.3844/ajassp.2009.1264.1269

Submitted On: 9 June 2008 Published On: 30 June 2009

How to Cite: 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

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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Keywords

  • Cross-relation
  • GMSK
  • blind identification
  • semi-blind identification
  • GSM channel
  • diversity