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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.advisor Kazi, Sadia Hamid zabin, Broty Imon, Imtiaz Ahmed 2010-10-12T08:16:18Z 2010-10-12T08:16:18Z 2008 2008
dc.identifier.other ID 05210031
dc.identifier.other ID 05210038
dc.description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2008. en_US
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 42).
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.description.statementofresponsibility Broty Zabin
dc.description.statementofresponsibility 43 pages
dc.description.statementofresponsibility Imtiaz Ahmed Imon
dc.language.iso en
dc.publisher BRAC University en_US
dc.rights BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Computer science and engineering
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
dc.contributor.department Department of Computer Science and Engineering, BRAC University B. Computer Science and Engineering

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