Title :
Joint data-channel estimation using the particle filtering on multipath fading channels
Author :
Bertozzi, Tanya ; Le Ruyet, Didier ; Rigal, Gilles ; Vu-Thien, Han
Author_Institution :
Signals & Syst. Lab., CNAM, Paris, France
fDate :
23 Feb.-1 March 2003
Abstract :
Instead of the per-survivor processing (PSP) detector which is the state-of-the-art solution for the joint data channel estimation in fast fading channels, a new reduced complexity maximum likelihood sequence detector (MLSD) based on the particle filtering technique is proposed. It is shown that the particle detector offers a better trade-off between performance and computational complexity, compared to a reduced complexity PSP detector based on the decision-feedback sequence estimation (DFSE) algorithm. Moreover, the computational complexity of this new detector is adapted according to the signal-to-noise ratio.
Keywords :
Kalman filters; channel estimation; computational complexity; fading channels; maximum likelihood detection; maximum likelihood sequence estimation; mobile communication; multipath channels; DFSE; MLSD; PSP detector; computational complexity; decision feedback sequence estimation; joint data channel estimation; maximum likelihood sequence detector; multipath fading channels; particle detector; particle filtering technique; per-survivor processing; performance complexity; reduced complexity; signal-to-noise ratio; Channel estimation; Computational complexity; Detectors; Fading; Filtering; Least squares approximation; Maximum likelihood detection; Maximum likelihood estimation; State estimation; Telephony;
Conference_Titel :
Telecommunications, 2003. ICT 2003. 10th International Conference on
Print_ISBN :
0-7803-7661-7
DOI :
10.1109/ICTEL.2003.1191620