The principle of per-survivor processing: a general approach to approximate and adaptive MLSE
- 9 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1170-1175
- https://doi.org/10.1109/glocom.1991.188558
Abstract
A class of algorithms for maximum likelihood sequence estimation (MLSE) is introduced. These algorithms are based on the principle of performing signal processing (PPSP) operations, necessary for the estimation of unknown parameters, in a per-survivor fashion. Introduced by several authors for state complexity reduction in an ISI (intersymbol interference) environment, DDFSE (delayed decision feedback sequence estimation) and RSSE (reduced state sequence estimation) make use of this principle. A number of algorithms which apply the PPSP to combined sequence estimation and channel identification are presented. The results of the simulation analysis are given.Keywords
This publication has 6 references indexed in Scilit:
- Decoding of trellis-encoded signals in the presence of intersymbol interference and noiseIEEE Transactions on Communications, 1989
- Delayed decision-feedback sequence estimationIEEE Transactions on Communications, 1989
- Adaptive IIR filteringIEEE ASSP Magazine, 1989
- Reduced-state sequence estimation for coded modulation of intersymbol interference channelsIEEE Journal on Selected Areas in Communications, 1989
- Channel coding with multilevel/phase signalsIEEE Transactions on Information Theory, 1982
- A Maximum-Likelihood Sequence Estimator with Decision-Feedback EqualizationIEEE Transactions on Communications, 1977