Training-based channel estimation and de-noising for the UMTS TDD mode
Samson Lasaulce, Philippe Loubaton, Éric Moulines, Soodesh Buljore · 2002
We provide a theoretical framework of de-noising for UMTS TDD-like mobile radio communication systems. Based on the Bayesian approach, we show how to de-noise channel estimates provided by the training-based estimation procedure. The proposed schemes allow not only for eliminating major drawbacks of hard thresholding but also for a low complexity implementation.