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Joint channel estimation/detection in MIMO systems using belief propagation
KTH, School of Electrical Engineering (EES), Communication Theory.
2009 (English)In: IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, 2009, 466-470 p.Conference paper (Refereed)
Abstract [en]

We study the problem of joint channel estimation and detection in MIMO systems using belief propagation (BP). We propose a BP based algorithm which jointly estimates the MIMO channel matrix and detects the data symbols in a frame (consisting of pilot and data symbols) through message passing in two passes; one pass from the start to the end of a frame and another from the end to the start. A message comprises a small number of parameters that characterize the computed densities of the marginal probabilities. We study the performance of the proposed algorithm in V-BLAST and STBC MIMO systems for varying pilot density and pilot/data power allocation in a frame. Our simulation results show that a close to perfect CSIR performance is achieved by the proposed algorithm using a nonuniform pilot/data power allocation scheme based on the knowledge of the average channel SNR. We show that the proposed BP based joint channel estimation/detection scheme performs better than MMSE channel estimation followed by maximum-likelihood (ML) detection in slow fading.

Place, publisher, year, edition, pages
2009. 466-470 p.
Keyword [en]
MIMO channel matrix;MMSE channel estimation;STBC MIMO systems;V-BLAST;belief propagation;data symbols;joint channel estimation-detection;maximum likelihood detection;message passing;pilot-data power allocation;slow fading;MIMO communication;belief networks;channel estimation;maximum likelihood detection;
National Category
URN: urn:nbn:se:kth:diva-43915DOI: 10.1109/PIMRC.2009.5450086OAI: diva2:448959
QC 20111021Available from: 2011-10-18 Created: 2011-10-18 Last updated: 2011-10-21Bibliographically approved

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Zaki, Ahmed
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Communication Theory

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