Dereje, Hailemariam (PhD)Hailemariam, Teklay2020-03-102023-11-282020-03-102023-11-282017-10http://etd.aau.edu.et/handle/12345678/21101Terrestrial 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.en-USChannel estimationChannel interpolationPilotsDVB-T2LSThesis