Performance Analysis And Evaluation Of Pilot-based Channel Estimation Techniques For Broadcasting Systems

Terrestrial broadcasting channel is unknown and prone to time dispersion, which causesrninter symbol interference (ISI) and fading. This unknown channel must be estimated basedrnon analysis of received signal and training pilots before equalization at the receiver side. rnIn this thesis work the performance of two pilot-based channel estimation algorithms;rnnamely, least square (LS) and Minimum Mean Square Error (MMSE) with correspondingrnchannel interpolation techniques are investigated for broadcasting system applications. Thisrnanalysis is part of a joint project between Information Networks Security Agency (INSA) ofrnEthiopia and the Addis Ababa University (AAU) that intends to implement advanced digitalrnreceiver for a certain application. Mean square error (MSE), Bit error rate (BER), rate ofrnconvergence, stability and complexity are used as performance metrics. rnThe MATLAB simulation result shows the performance of MMSE estimator is much betterrnthan LS estimator despite its complexity in both 4-QAM and QPSK modulation. To estimaternthe channel coefficients Typical Urban channel - 6 paths (TU6) channel model is used. rnFrom all the simulation results, LS and MMSE algorithms are able to extract channelrncoefficients but MMSE has better performance. Therefore, the thesis recommends MMSErnalgorithm for channel estimation implementation by INSA.

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