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Blind adaptive constrained reduced-rank parameter estimation based on constant modulus design for CDMA interference suppression

de Lamare, R.C., Haardt, M. and Sampaio-Neto, R. (2008) Blind adaptive constrained reduced-rank parameter estimation based on constant modulus design for CDMA interference suppression. IEEE Transactions on Signal Processing. pp. 2470-2482. ISSN 1053-587X

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Abstract

This paper proposes a multistage decomposition for blind adaptive parameter estimation in the Krylov subspace with the code-constrained constant modulus (CCM) design criterion. Based on constrained optimization of the constant modulus cost function and utilizing the Lanczos algorithm and Arnoldi-like iterations, a multistage decomposition is developed for blind parameter estimation. A family of computationally efficient blind adaptive reduced-rank stochastic gradient (SG) and recursive least squares (RLS) type algorithms along with an automatic rank selection procedure are also devised and evaluated against existing methods. An analysis of the convergence properties of the method is carried out and convergence conditions for the reduced-rank adaptive algorithms are established. Simulation results consider the application of the proposed techniques to the suppression of multiaccess and intersymbol interference in DS-CDMA systems.

Item Type: Article
Copyright, Publisher and Additional Information: © Copyright 2008 IEEE. 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.
Keywords: blind adaptive constrained algorithms, DS-code-division-multiple-access (CDMA) systems, interference suppression, reduced-rank parameter estimation, FAST TRANSVERSAL FILTERS, STEP-SIZE, DS-CDMA, MULTIUSER DETECTION, MULTIPATH CHANNELS, WIENER FILTER, ALGORITHMS, DS/CDMA, SIGNALS, RECEIVERS, Signal Processing, Electrical and Electronic Engineering
Institution: The University of York
Academic Units: The University of York > Electronics (York)
Depositing User: Sherpa Assistant
Date Deposited: 10 Jul 2008 08:26
Last Modified: 14 Oct 2014 09:23
Published Version: http://dx.doi.org/10.1109/TSP.2007.913161
Status: Published
Refereed: Yes
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/4046

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