Performance Analysis With Channel Estimation And Adaptive Equalization In Slow Rayleigh Fading Channel For8-QPSK And256-QAM

Mobile communications and wireless networks have experienced massive growth and commercial success in the recent years. However, the radio channels in mobile radio systems are usually not available as the wired one. Unlike satellite communications, many wireless communications channels don’t have a line of sight (LOS) transmission path. Instead, a signal can travel from transmitter to receiver over many reflective paths. This phenomenon referred to as multipath propagation. Due to the multipath propagation, a signal will arrive at the receiver multiple times with different amplitudes, phases and arrival times.Fading is caused by interference between to two or more versions of transmitted signal which arrive at the receiver at slightly different times. Fading channel models are often used to model the effects of electromagnetic transmission of information, over the air in cellular networks and broadcast communications. Multipath fading can cause inter-symbol interference (ISI), where the received signal consists of multiple versions of the transmitted waveforms.In this thesis, first we built up a wireless communication simulator using Matlab including Gray encoding, modulation, different channel models (such as AWGN, flat fading and frequency selective fading channels), channel estimation, adaptive equalization and demodulation. Also we test the effect of different channel models to the data and image in receiver with constellation and BER plots under8-QPSK and256-QAM modulations. Finally, we gave detailed results and analysis of the performance improvement with channel estimation and adaptive equalization in slow Rayleigh fading channel.