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Journal of Applied Sciences

Year: 2009 | Volume: 9 | Issue: 18 | Page No.: 3371-3377
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Authors

A.N. H. Alnuaimy

M. Ismail

M.A. M. Ali

K. Jumari

Keywords

Research Article

TCM and Wavelet De-Noising Over an Improved Algorithm for Channel Estimations of OFDM System Based Pilot Signal

A.N. H. Alnuaimy, M. Ismail, M.A. M. Ali and K. Jumari
In an improved algorithm of channel estimations of Orthogonal Frequency Division Multiplexing (OFDM) system based pilot signal, the channel will be estimated using the mean and the variance of the two adjusted channel samples which have been extracted from that those embedded pilot signal in given positions of the frequency-time grid of OFDM signals. In this study, we present the application of Trellis Code Modulation (TCM) over an improved algorithm of the of the channel estimation of OFDM system based pilot signal and the usage of wavelet de-noising filter for that estimated channel sample to reduce the noise which affect the estimation of the channel. Simulation results shows that the combination of the TCM and the Wavelet de-noising filter will increase the performance of the OFDM system over that improved algorithm for the channel estimations.
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