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BACHELOR'S THESIS at TU MUNICH, 2012 © STEFANIE SCHWARZ
High-resolution parameter estimation is a research field that has gained considerable attention in the past decades. A typical application is in MIMO channel measurements, where parameters such as direction-of-arrival (DOA), direction-of-departure (DOD), path delay and Doppler spread are desired to be extracted from the measured signal. For this work we first review subspace-based parameter estimation techniques and then investigate the case that the parameter estimation is subject to the presence of colored noise or interference with a Kronecker structure, where a multidimensional prewhitening scheme is needed to avoid the deterioration of estimation accuracy.