
Departmental Papers (ESE)
Document Type
Journal Article
Date of this Version
11-25-2008
Abstract
Two modified blind equalization algorithms are analyzed for performance. These algorithms add a constellation-matched error term to the cost functions of the generalized Sato and multimodulus algorithms. The dynamic convergence behavior and steady-state performance of these algorithms, and of a related version of the constant modulus algorithm, are characterized. The analysis establishes the improved performance of the proposed algorithms.
Keywords
blind equalisers, convergence, constant modulus algorithm, constellation-matched error term, constellation-matching, convergence analysis, dynamic convergence behavior, generalized Sato algorithm, modified blind equalization algorithms, multimodulus algorithms, Adaptive equalizer, blind equalization algorithms, convergence analysis
Date Posted: 01 June 2009
This document has been peer reviewed.

Comments
Copyright 2008 IEEE. Reprinted from:
Lin He; Kassam, S., "Convergence analysis of blind equalization algorithms using constellation-matching," Communications, IEEE Transactions on , vol.56, no.11, pp.1765-1768, November 2008 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4686255&isnumber=4686252
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or 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 must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.