Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/5861

Title: Adaptive soft-constraint satisfaction (SCS) algorithms for fractionally-spaced blind equalizers
Authors: Baykal, Buyurman
Tanrikulu, Oguz
Chambers, Jonathon
Issue Date: 1997
Publisher: © IEEE
Citation: BAYKAL, B., TANRIKULU, O. and CHAMBERS, J., 1997. Adaptive soft-constraint satisfaction (SCS) algorithms for fractionally-spaced blind equalizers. IN: Proceedings of the 1997 IEEE International Conference on Acoustics, Speech and Signal Processing. ICASSP-97, Munich, 21st-24th April 1997, Vol. 3, pp. 1853-1856
Abstract: Constant modulus algorithms based on a deterministic error criterion are presented. Soft-constraint satisfaction methods yield a general family of blind equalization algorithms employing nonlinear functions of the equalizer output which must satisfy certain conditions. The algorithms are also extended to cover fractionally-spaced blind equalization. A normalization factor which appears as a result of the deterministic formulation of the problem helps the blind equalizer improve its performance. Also, the family supports a wide range of nonlinear functions. Extensive simulations are presented to reveal convergence characteristics which also include signals from the signal processing information base (SPIB)
Description: This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ICASSP.1997.598899
URI: https://dspace.lboro.ac.uk/2134/5861
ISBN: 0818679190
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
adaptive soft-constraint.pdf343.91 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.