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.
['Samson Lasaulce', 'Philippe Loubaton', 'Eric Moulines', 'Soodesh Buljore']
Training-based channel estimation and de-noising for the UMTS TDD mode