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Performance comparison between different channel models with channel estimation and adaptive equalization using Rayleigh fading channel

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dc.contributor.author zabin, Broty
dc.contributor.author Imon, Imtiaz Ahmed
dc.date.accessioned 2010-10-12T08:16:18Z
dc.date.available 2010-10-12T08:16:18Z
dc.date.issued 2008
dc.identifier.other ID 05210031
dc.identifier.other ID 05210038
dc.identifier.uri http://hdl.handle.net/10361/469
dc.description This thesis paper is submitted in a partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering , BRAC University en_US
dc.description.abstract 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. en_US
dc.publisher School of Engineering and Computer Science (SECS) , BRAC University en_US
dc.title Performance comparison between different channel models with channel estimation and adaptive equalization using Rayleigh fading channel en_US
dc.type Thesis en_US


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