Linear Minimum Mean-Square Error Estimators Applied to Channel Equalization

Author

Cantoni, A. ; Butler, P.

Author_Institution

Dept. of Elec. Engr.,Univ. of Newcastle,New South Wales,Australia

Volume

25

Issue

4

fYear

1977

fDate

4/1/1977 12:00:00 AM

Firstpage

441

Lastpage

446

Abstract

This concise paper investigates various aspects of the application of unbiased linear minimum mean-square error (ULMMSE) estimators to the equalization of channels used for digital data transmission. One application is to the equalization of the channel to a response free from intersymbol interference. Previous results regarding this application are clarified and extended. The other application is to the equalization of the channel to a finite short memory response. This stems from an interest in reducing the complexity of the Viterbi algorithm. Various new results on the optimum ULMMSE equalizer and its performance are presented. In both applications, the optimum ULMMSE equalizer is a stable, realizable, finite dimensional recursive filter.

Keywords

Equalizers; Least-squares estimation; Recursive estimation; Signal estimation; State estimation; Australia; Communications Society; Delay lines; Equalizers; Filters; Intersymbol interference; Random variables; State-space methods; Vectors; Viterbi algorithm;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOM.1977.1093836

Filename

1093836