Channel equalization for coded signals in hostile environments

Author

Georgoulakis, Kristina ; Theodoridis, Sergios

Author_Institution

Dept. of Inf., Athens Univ., Greece

Volume

47

Issue

6

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

1783

Lastpage

1787

Abstract

The detection of trellis-coded modulated signals corrupted by intersymbol interference, co-channel interference, and nonlinear impairments is treated as a classification task by means of a clustering based sequence equalizer decoder. The receiver performs jointly decoding and equalization of trellis-encoded signals. No specific model is required for the channel or for the interference and the noise, and no code knowledge is needed at the receiver. Complexity reduction of the equalizer is obtained through two suboptimal techniques: (a) clusters´ grouping and (b) the M algorithm. The robust performance of the proposed scheme is illustrated by simulations

Keywords

cochannel interference; decoding; equalisers; interference suppression; intersymbol interference; signal detection; telecommunication channels; trellis coded modulation; M algorithm; TCM; channel equalization; classification task; clustering based sequence equalizer decoder; clusters grouping; co-channel interference; coded signals detection; complexity reduction; decoding; hostile environments; interference suppression; intersymbol interference; noise; nonlinear impairments; receiver; robust performance; suboptimal techniques; trellis-coded modulated signals; Bandwidth; Equalizers; Filter bank; Finite impulse response filter; Interference; Modulation coding; Signal analysis; Signal processing; Speech processing; Time frequency analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.765170

Filename

765170