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
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.
Licence and reuse
Free to read. This article carries the publisher’s copyright, as printed on it: © 2009 Science Publications. It is free to read; ask us before reusing it.
How to reuse this articleResponses (0)
About this article
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
- Licence
- © Science Publications
- Issue
- Volume 6, Issue 6
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
