Performance comparison between different channel models with channel estimation and adaptive equalization using Rayleigh fading channel
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This thesis project is a comparison between the performances of different channel model with modulation, channel estimation, adaptive equalization for both linear and non-linear equalizer and demodulation techniques using slow Rayleigh fading channel with the target to reduce the fading effect for the multipath wireless network and mobile communications. For channel models we have used flat fading and frequency selective fading (FSF) channel. For the comparison we have tested the effect of different channel models using different conditions under QPSK (Quadrature Phase Shift Keying) modulation with channel estimation, linear and non-linear equalization with Least Mean Squares (LMS) algorithm. We have tested the effect of the channel models using the input data and input image in receiver with BER (bit error rate) and SER (symbol error rate) plots under QPSK modulation. We want to simulate the flat fading channel and frequency selective fading channel in slow Rayleigh fading using a model simulated to GSM (Global System for Mobile Communication) system. We have used GSM carrier frequency and bandwidth and then compare mainly the theoretical BER with the simulated BER through a model with the target to reduce the fading effect of the wireless multi-path channel. In the project we have used Matlab 7.0 for algorithms and simulations.