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URN etd-0823106-142230 Statistics This thesis had been viewed 3007 times. Download 3448 times. Author Che-Chang Hsu Author's Email Address No Public. Department Electrical Engineering Year 2005 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 55 Title A Study of Adaptive Equalizer Based on Recursive Least-Squares Algorithm Keyword Equalizer Equalizer Abstract The adaptive equalizers using the recursive least-squares (RLS) algorithm is investigated for wireless communication systems. Both linear transversal equalizer and non-linear decision feedback equalizer (DFE) with RLS algorithm are evaluated in multipath fading channel model. The influence of some important parameters, such as tap number of the adaptive equalizers, and forgetting factor of the algorithm, is examined. Then, the rate of convergence and error variance with different algorithm is analyzed. Finally the validity of the theoretical results is verified through computer simulations. Above all, a test bed for the RLS equalizer with modulation and channel coding is built by using Simulink. In the future work, we can use this test bed to fast analysis the performance in terms of BER, MSE and convergence speed for any proposed adaptive equalizer algorithm. Advisor Committee Chau-Yun Hsu - advisor
Chung-Chun Kung - co-chair
Ming-Yi Lu - co-chair
Files Date of Defense 2006-07-14 Date of Submission 2006-08-23