Location of Repository

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

By R.C. de Lamare, M. Haardt and R. Sampaio-Neto

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

Topics: 1711, 2208
Year: 2008
DOI identifier: 10.1109/TSP.2007.913161
OAI identifier: oai:eprints.whiterose.ac.uk:4046

Suggested articles

Preview


To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.