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Open Access

Sparsity-Aware Estimation of CDMA System Parameters

  • Daniele Angelosante1,
  • Emanuele Grossi2,
  • Georgios B. Giannakis1Email author and
  • Marco Lops2
EURASIP Journal on Advances in Signal Processing20102010:417981

Received: 6 November 2009

Accepted: 8 April 2010

Published: 17 May 2010


The number of active users, their timing offsets, and their (possibly dispersive) channels with the access point are performance-critical parameters for wireless code division multiple access (CDMA). Estimating them as accurately as possible using as short as possible training sequences can markedly improve error performance as well as the capacity of CDMA systems. The fresh look advocated here permeates benefits from recent advances in variable selection and compressive sampling approaches to multiuser communications by casting estimation of these parameters as a sparse linear regression problem. Novel estimators are developed by exploiting two forms of sparsity present: the first emerging from user (in)activity, and the second from the uncertainty on user delays and channel taps. Simulated tests demonstrate a large gain in performance when sparsity-aware estimators of CDMA parameters are compared to sparsity-agnostic standard least-squares-based alternatives.


Access PointActive UserError PerformanceSimulated TestCode Division Multiple Access

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Authors’ Affiliations

Department of ECE, University of Minnesota, Minneapolis, USA
DAEIMI, Università degli Studi di Cassino, Cassino, Italy


© Daniele Angelosante et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.