Title :
Training-based channel estimation and de-noising for the UMTS TDD mode
Author :
Lasaulce, S. ; Loubaton, P. ; Moulines, E. ; Buljore, S.
Author_Institution :
Motorola Res. Center-Paris, Gif-sur-Yvette, France
fDate :
6/23/1905 12:00:00 AM
Abstract :
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
Keywords :
Bayes methods; land mobile radio; parameter estimation; radiowave propagation; Bayesian approach; UMTS TDD mode; de-noising; hard thresholding; low complexity implementation; mobile radio communication systems; radio channel propagation conditions; time division duplex mode; training-based channel estimation; 3G mobile communication; Channel estimation; Communication systems; Detectors; Estimation error; Filters; Land mobile radio; Noise reduction; Signal to noise ratio; Working environment noise;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-7803-7005-8
DOI :
10.1109/VTC.2001.956533
