Performance Analysis and Evaluation of Pilot-based Channel Estimation Techniques for Broadcasting Systems
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Date
2017-10
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Addis Ababa University
Abstract
Terrestrial broadcasting channel is unknown and prone to time dispersion, which causes
inter symbol interference (ISI) and fading. This unknown channel must be estimated based
on analysis of received signal and training pilots before equalization at the receiver side.
In this thesis work the performance of two pilot-based channel estimation algorithms;
namely, least square (LS) and Minimum Mean Square Error (MMSE) with corresponding
channel interpolation techniques are investigated for broadcasting system applications. This
analysis is part of a joint project between Information Networks Security Agency (INSA) of
Ethiopia and the Addis Ababa University (AAU) that intends to implement advanced digital
receiver for a certain application. Mean square error (MSE), Bit error rate (BER), rate of
convergence, stability and complexity are used as performance metrics.
The MATLAB simulation result shows the performance of MMSE estimator is much better
than LS estimator despite its complexity in both 4-QAM and QPSK modulation. To estimate
the channel coefficients Typical Urban channel - 6 paths (TU6) channel model is used.
From all the simulation results, LS and MMSE algorithms are able to extract channel
coefficients but MMSE has better performance. Therefore, the thesis recommends MMSE
algorithm for channel estimation implementation by INSA.
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Keywords
Channel estimation, Channel interpolation, Pilots, DVB-T2, LS