Asymptotic efficiency of the BAD algorithm

Author

Nelson, J.K. ; Singer, A.C. ; Madhow, U.

Author_Institution

Univ. of Illinois, Urbana, IL, USA

fYear

2003

fDate

28 Sept.-1 Oct. 2003

Firstpage

86

Lastpage

89

Abstract

We study the high-SNR performance of the bi-directional arbitrated DFE (BAD) equalization algorithm. Using asymptotic efficiency analysis, we characterize the performance of BAD as the channel noise variance approaches zero. We consider the case in which the channel is perfectly known to the receiver, as well as the case in which the channel estimate is in error. Asymptotic efficiency analysis allows us to quantify the loss in performance due both to inter-symbol interference (ISI) and imperfect channel estimation. The asymptotic efficiency of BAD is compared to that of a matched filter receiver, a maximum likelihood sequence estimator, and a standard DFE. Our results indicate that for the channel model considered, BAD can achieve gains of up to 3 dB over the standard DFE, even when the channel estimate is in error.

Keywords

channel estimation; decision feedback equalisers; intersymbol interference; matched filters; maximum likelihood estimation; SNR; asymptotic efficiency analysis; bidirectional arbitrated decision feedback equalization algorithm; channel estimate; channel noise variance; intersymbol interference; matched filter receiver; maximum likelihood sequence estimator; Analysis of variance; Bidirectional control; Channel estimation; Decision feedback equalizers; Error analysis; Intersymbol interference; Matched filters; Maximum likelihood estimation; Performance analysis; Performance loss;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2003 IEEE Workshop on

Print_ISBN

0-7803-7997-7

Type

conf

DOI

10.1109/SSP.2003.1289346

Filename

1289346