Departmental Papers (ESE)

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.

Document Type

Journal Article

Date of this Version

11-25-2008

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

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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

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Date Posted: 01 June 2009

This document has been peer reviewed.