Abstract:The Space Time Adaptive Processing (STAP) is a promising approach in the improvement of the wireless communication systems. Since it makes possible to reduce interferences ISI (Inter Symbol Interference) and CCI (Co-Channel Interference) but its disadvantage is the intensive treatment which reduces the speed of convergence of the algorithm LMS (Least Mean Square) and SMI (Sampling Matrix Inversion). Our approach resides in the use of a fast algorithm which calculate the weighting coefficients of the equalizer in frequential field with faster convergence.
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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