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Improving soft output quality of MIMO demodulation algorithm via importance sampling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationFifth International Conference on 3G Mobile Communication Technologies, London
Publisher or commissioning bodyInstitution of Electrical Engineers (IEE)
Publication dateOct 2004
Pages388 - 391
ISBN (Print)0863413889
StatePublished

Conference

Conference5th International Conference on 3G Mobile Communication Technologies
CountryUnited Kingdom
CityLondon
Period1/10/04 → …

Abstract

This paper proposes a two stage algorithm to improve the soft output of the channel demodulation algorithm for a multiple input multiple output (MIMO) system with block fading channels by the Monte Carlo method. In the first stage, the demodulation algorithm, i.e., probability data association detector (PDA) or minimum mean square error (MMSE) algorithm, computes the marginal probability distribution of symbols for each antenna. Then we draw samples from those marginal distributions and use the importance sampling algorithm to correct those distributions to approximate the joint posterior distribution of symbols for all the antennas. Simulation results are given to demonstrate the effectiveness of the new algorithm

Additional information

Conference Proceedings/Title of Journal: Fifth International Conference on 3G Mobile Communication Technologies, 2004 Rose publication type: Conference contribution Sponsorship: The authors would like to thank Toshiba TREL Ltd. for sponsoring the work presented in this article and the first author would like to thank Toshiba TREL Ltd. for supporting his PhD study at the University of Bristol

Research areas

  • MIMO, Sequential Monte Carlo, Importance Sampling

Event

5th International Conference on 3G Mobile Communication Technologies

Duration1 Oct 2004 → …
CountryUnited Kingdom
CityLondon

Event: Conference

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