Equalization for mobile communications channels

Author

Doherty, John ; Mammone, Richard

Author_Institution

Iowa State Univ., Ames, IA, USA

fYear

1990

fDate

30 Sep-3 Oct 1990

Firstpage

643

Abstract

An equalization technique that demonstrates rapid channel tracking and equalization through the use of periodic training data in the random data is presented. A decision-feedback equalizer is used. Simulation results obtained with the recursive least squares (RLS) and row-action-projection (RAP) algorithms are given. The RLS algorithm is an exact least-squares technique; the RAP algorithm is a modified least-squares technique that avoids stability problems found in the RLS algorithm. The RAP algorithm provided better tracking and stability performance

Keywords

equalisers; feedback; least squares approximations; mobile radio systems; telecommunication channels; RLS algorithm; channel equalisation; channel tracking; decision-feedback equalizer; mobile communications channels; periodic training data; random data; recursive least squares; row-action-projection; stability performance; tracking performance; Communication channels; Computer simulation; Decision feedback equalizers; Equations; Frequency; Iterative algorithms; Mobile communication; Resonance light scattering; Statistical distributions; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1990. MILCOM '90, Conference Record, A New Era. 1990 IEEE

Conference_Location

Monterey, CA

Type

conf

DOI

10.1109/MILCOM.1990.117493

Filename

117493