The principle of per-survivor processing: a general approach to approximate and adaptive MLSE

Author

Raheli, Riccardo ; Polydoros, Andreas ; Tzou, Ching-Kae

Author_Institution

Dipartimento di Ingegneria dell´´Informazione, Parma Univ., Italy

fYear

1991

fDate

2-5 Dec 1991

Firstpage

1170

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

intersymbol interference; maximum likelihood estimation; parameter estimation; signal processing; telecommunication channels; ISI channels; adaptive MLSE; channel identification; delayed decision feedback sequence estimation; intersymbol interference; maximum likelihood sequence estimation; presurvivor processing; reduced state sequence estimation; signal processing; Decision feedback equalizers; Degradation; Delay estimation; Intersymbol interference; Matched filters; Maximum likelihood decoding; Maximum likelihood estimation; State estimation; Uncertainty; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1991. GLOBECOM '91. 'Countdown to the New Millennium. Featuring a Mini-Theme on: Personal Communications Services

Conference_Location

Phoenix, AZ

Print_ISBN

0-87942-697-7

Type

conf

DOI

10.1109/GLOCOM.1991.188558

Filename

188558