Least-mean-log-likelihood adaptive algorithm in single-layer perceptron based communication channel equalisation

Author

Shang, Changjing ; Cowan, Colin F N ; Holt, Murray J J

Author_Institution

Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK

Volume

3

fYear

1996

fDate

7-10 May 1996

Firstpage

1711

Abstract

This paper presents a novel approach to adapting the weights of single-layer perceptron based communication channel equalisers, using the log-likelihood cost function and the resulting least-mean-log-likelihood adaptive algorithm. It provides promising theoretical and experimental results, illustrating that developing equalisers following this approach allows faster convergence, lower estimation error and better bit error rate performance in comparison with the traditional Rosenblatt (1962) and back-propagation algorithms

Keywords

adaptive equalisers; convergence of numerical methods; error statistics; perceptrons; telecommunication channels; telecommunication computing; Rosenblatt algorithms; adaptive equaliser; backpropagation algorithms; bit error rate performance; communication channel equalisation; convergence; estimation error; experimental results; least mean log likelihood adaptive algorithm; log-likelihood cost function; single layer perceptron; weights adaptation; Adaptive algorithm; Adaptive equalizers; Adaptive filters; Bit error rate; Communication channels; Convergence; Cost function; Error correction; Estimation error; Filtering algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.544137

Filename

544137