On importance sampling in digital communications. II. Trellis-coded modulation

Author

Chen, Jyun-Cheng ; Sadowsky, John S.

Author_Institution

Erickson-GE, Research Triangle Park, NC, USA

Volume

11

Issue

3

fYear

1993

fDate

4/1/1993 12:00:00 AM

Firstpage

300

Lastpage

308

Abstract

For Pt.I see ibid., vol.11, no.3, p.289-99 (1993). A simulation algorithm design strategy based on event simulation, conditional importance sampling, and mean translation biasing of Gaussian noise distribution is applied to systems with trellis-coded modulation using the error event simulation. Suboptimal Viterbi decoding in the presence of weak intersymbol interference (ISI) is discussed. To illustrate the utility of the technique, some numerical results for a nonlinear channel model with intersymbol interference (ISI) are presented

Keywords

digital communication systems; intersymbol interference; modulation; telecommunication channels; telecommunications computing; trellis codes; Gaussian noise distribution; ISI; TCM; digital communications; error event simulation; event simulation; importance sampling; intersymbol interference; mean translation biasing; nonlinear channel model; numerical results; simulation algorithm design strategy; suboptimal Viterbi decoding; trellis-coded modulation; AWGN channels; Algorithm design and analysis; Computational modeling; Decoding; Digital communication; Discrete event simulation; Gaussian noise; Intersymbol interference; Monte Carlo methods; Sampling methods;

fLanguage

English

Journal_Title

Selected Areas in Communications, IEEE Journal on

Publisher

ieee

ISSN

0733-8716

Type

jour

DOI

10.1109/49.219544

Filename

219544