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A divergence minimization approach to joint multiuser decoding for coded CDMA
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-7182-9543
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2008 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 26, no 3, 432-445 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, a theoretical framework of divergence minimization (DM) is applied to derive iterative receiver algorithms for coded CDMA systems. The DM receiver obtained performs joint channel estimation, multiuser decoding, and noisecovariance estimation. While its structure is similar to that of many ad-hoc receivers in the literature, the DM receiver is the result of applying a formal framework for optimization without further simplifications,namely the DM approach with a factorizable auxiliary model distribution. The well-known expectation-maximization (EM) algorithm and space-alternating generalized expectation-maximization (SAGE) algorithm are special cases of degenerate model distributions within the DM framework. Furthermore, many ad-hoc receiver structures from literature are shown to represent approximations of the proposed DM receiver. The DM receiver has four interesting properties that all result directly from applying the formal framework: (i) The covariances of all estimates involved are taken into account. (ii) The residual interference after interference cancellation is handled by the noise-covariance estimation as opposed to by LMMSE filters in other receivers. (iii) Posterior probabilities of the code symbols are employed rather than extrinsic probabilities. (iv) The iterative receiver is guaranteed to converge in divergence. The theoretical insights are illustrated by simulation results.

Place, publisher, year, edition, pages
2008. Vol. 26, no 3, 432-445 p.
Keyword [en]
variational Bayesian inference, divergence minimization, iterative receivers, multiuser decoding, channel estimation, interference cancellation, noise-covariance estimation, residual interference
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URN: urn:nbn:se:kth:diva-28978DOI: 10.1109/JSAC.2008.080403ISI: 000254841100003OAI: diva2:396554
IEEE Global Telecommunications Conference (GLOBECOM 07) Washington, DC, NOV 26-30, 2007
QC 20110210Available from: 2011-02-10 Created: 2011-01-25 Last updated: 2012-01-20Bibliographically approved

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Rasmussen, Lars Kildehöj
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Communication TheoryACCESS Linnaeus Centre
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