Exact analysis of the tracking capability of time-varying channels: the finite alphabet inputs case

Author

Besbes, H. ; Jaidane-Saidane, M. ; Ezzine, J.

Author_Institution

ESPT de Tunis, Tunisia

Volume

1

fYear

1998

fDate

1998

Firstpage

449

Abstract

The tracking performances of adaptive filters are, analyzed in a real context of digital transmission where the time variations of the channel´s “impulse response” are modeled by a general L-order Markovian process and where the input data to be transmitted belongs to a finite alphabet. In this paper two approaches are developed to analyse the Least Mean Square algorithm (LMS), for large step size and correlated inputs. However, it is the tailored approach for the finite alphabet inputs that leads to the exact analysis of tracking performances. In this case, the analysis is made without any constraints or unrealistic hypothesis

Keywords

Markov processes; adaptive filters; digital communication; filtering theory; least mean squares methods; time-varying channels; tracking; L-order Markovian process; LMS algorithm; adaptive filters; correlated inputs; digital transmission; exact analysis; finite alphabet inputs case; impulse response; large step size; least mean square algorithm; time-varying channels; tracking capability; Adaptive filters; Computer aided software engineering; Context modeling; Equations; Land mobile radio; Least mean square algorithms; Least squares approximation; Performance analysis; Time-varying channels; Underwater tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 1998 IEEE International Conference on

Conference_Location

Lisboa

Print_ISBN

0-7803-5008-1

Type

conf

DOI

10.1109/ICECS.1998.813360

Filename

813360