Title :
MLSE receiver using the particle filtering over a multipath fading channel
Author :
Bertozzi, Tanya ; Le Ruyet, Didier ; Rigal, Gilles ; Vu-Thien, Han
Author_Institution :
Diginext, Aix En Provence, France
Abstract :
Instead of reduced-state decision-feedback sequence estimation (DFSE) equalization which is the state-of-the-art solution for the complexity reduction of the full-state Viterbi decoder over a multipath fading channel, we propose a new reduced complexity maximum likelihood sequence detector (MLSD) based on the particle filtering technique. The computational complexity of this new detector is adapted according to the signal-to-noise ratio. Compared to the DFSE detector the particle detector offers a better trade-off between performance and computational complexity.
Keywords :
Monte Carlo methods; computational complexity; decision feedback equalisers; fading channels; maximum likelihood sequence estimation; multipath channels; radio receivers; MLSE receiver; Viterbi decoder; computational complexity; decision-feedback sequence estimation equalization; maximum likelihood sequence detector; multipath fading channel; particle filtering; signal-to-noise ratio; Computational complexity; Decision feedback equalizers; Detectors; Fading; Filtering; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; State estimation; Viterbi algorithm;
Conference_Titel :
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN :
0-7803-7802-4
DOI :
10.1109/ICC.2003.1204117