Title :
Equalization for mobile communications channels
Author :
Doherty, John ; Mammone, Richard
Author_Institution :
Iowa State Univ., Ames, IA, USA
fDate :
30 Sep-3 Oct 1990
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;
Conference_Titel :
Military Communications Conference, 1990. MILCOM '90, Conference Record, A New Era. 1990 IEEE
Conference_Location :
Monterey, CA
DOI :
10.1109/MILCOM.1990.117493
