AI SearchApplication of Bayesian equalization methodology for [pi]/4 DQPSK modulation
Call Number: AIT RSPR no. TC-94-11 Material type:
SeriesSeries: Asian Institute of Technology. Research studies project report ; no. TC-94-11Publication details: Bangkok : Asian Institute of Technology, 1994Description: 48 leavesSubject(s): Online resources: Dissertation note: Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 1994 Summary: This study presents a modeling of Bayesian equalizer with decision feedback. The Bayesian equalizer which is based on Bayesian solution is derived by using bayes' theorem. By utilizing ~ decision feedbaack is proposed which not only improves equalization performance but also reduces computational complexity. The transmission channel has been assumed three path raised cosine channel. Adaptive channel estimation approach is developed to realize the Bayesian equalization performance. The simplest Least Mean Square (LMS) algorithm is used for adaptive channel estimation. Simulation is employed in Matlab environment in order to evaluate the performance of the Bayesian DFE by applying n/4- shifted- DQPSK modulation scheme. The simulation bit- error- rate (BER) results are presented for various transmission channels and decision delays.
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A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 1994
This study presents a modeling of Bayesian equalizer with decision feedback. The Bayesian equalizer which is based on Bayesian solution is derived by using bayes' theorem. By utilizing ~ decision feedbaack is proposed which not only improves equalization performance but also reduces computational complexity. The transmission channel has been assumed three path raised cosine channel. Adaptive channel estimation approach is developed to realize the Bayesian equalization performance. The simplest Least Mean Square (LMS) algorithm is used for adaptive channel estimation. Simulation is employed in Matlab environment in order to evaluate the performance of the Bayesian DFE by applying n/4- shifted- DQPSK modulation scheme. The simulation bit- error- rate (BER) results are presented for various transmission channels and decision delays.
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