Petrus, Paul2014-03-142014-03-141994etd-07112009-040414http://hdl.handle.net/10919/43679Adaptive antenna arrays have tremendous potential for increasing the capacity of mobile communications, by reducing co-channel interference, multipath, and noise. Blind adaptive algorithms, that is, algorithms which do not require a training sequence, are investigated and compared in this study. These algorithms are tested for common cellular signals. The performances of three blind adaptive algorithms: the Constant Modulus Algorithm (CMA), the Spectral self-COherence Restoral Algorithm (SCORE), and the spectral correlation predictor using a Time-Dependent Adaptive Array (TDAA), are studied. The TDAA is introduced as a new blind algorithm that exploits the cyclostationary property of the signal. Results show that the TDAA is able to out-perform the other blind algorithms for most of the test conditions and provides the optimal MSE solution.xi, 127 leavesBTDapplication/pdfenIn CopyrightLD5655.V855 1994.P487Adaptive antennasAntenna arraysMobile communication systemsThesishttp://scholar.lib.vt.edu/theses/available/etd-07112009-040414/