Performance of SVD-based fractionally-spaced equalizers in data transmission systems

Author

Barton, Melbourne

Author_Institution

Bellcore, Morristown, NJ, USA

Volume

1

fYear

1993

fDate

23-26 May 1993

Firstpage

433

Abstract

An algorithm is presented for implementing a complex fractionally spaced equalizer (CFSE), which uses the least-mean-square (LMS) stochastic gradient method and is based on singular value decomposition (SVD). The SVD is used to adaptively prefilter the channel output and reduce the eigenvalue spread of the autocorrelation matrix of the CFSE tap inputs. It is shown that SVD accelerates the convergence of the CFSE, but increases somewhat the steady-state excess mean square error. The computational complexity of the SVD-based CFSE is also discussed. Simulation results are presented

Keywords

adaptive equalisers; adaptive filters; computational complexity; convergence of numerical methods; correlation theory; data communication; data communication equipment; eigenvalues and eigenfunctions; least mean squares methods; simulation; singular value decomposition; stochastic processes; LMS; SVD; algorithm; autocorrelation matrix; complex fractionally spaced equalizer; computational complexity; convergence; data transmission systems; singular value decomposition; steady-state excess mean square error; stochastic gradient method; Acceleration; Autocorrelation; Convergence; Eigenvalues and eigenfunctions; Equalizers; Gradient methods; Least squares approximation; Matrix decomposition; Singular value decomposition; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on

Conference_Location

Geneva

Print_ISBN

0-7803-0950-2

Type

conf

DOI

10.1109/ICC.1993.397301

Filename

397301