A robust parallel DFE using extended LMS

Author

Gatherer, Alan ; Meng, Teresa H -Y

Author_Institution

Inf. Syst. Lab., Stanford Univ., CA, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

1593

Abstract

A parallelizable ADFE (adaptive decision feedback equalizer) is presented which performs at an error rate close to that of the serial DFE. The complexity of the parallel architecture grows linearly with the speedup, with the constant of growth being unity. This allows for parallelization of the DFE to a reasonable level without a prohibitive increase in complexity. The complexity of each section of the parallel DFE is on the order of s² where s is the number of taps in the serial DFE. For a serial DFE the complexity is of order s. Therefore, for a speedup of T, one requires a hardware complexity that is on the order sT times that of the serial DFE. The increase in complexity is therefore linear in both speedup and number of taps

Keywords

computational complexity; equalisers; least squares approximations; parallel architectures; signal processing; adaptive decision feedback equalizer; error rate; hardware complexity; parallel architecture; parallelizable equaliser; signal processing; Concatenated codes; Decision feedback equalizers; Filters; Hardware; Information systems; Laboratories; Land mobile radio; Least squares approximation; Magnetic recording; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150560

Filename

150560