PDA-BCJR algorithm for factorial hidden Markov models with application to MIMO equalisation

RJ Piechocki, C Andrieu, M Sandell, JP McGeehan

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

In this paper we develop an efficient algorithm for inference in Factorial Hidden Markov Models (FHMM), which is particularly suitable for turbo equalisation in Multiple Input-Multiple Output (MIMO) systems. The proposed PDABCJR algorithm can be viewed as a generalisation of the PDA algorithm, which in its basic form handles single latent variables only. Our generalisation replaces each of the single latent variables with a HMM
Translated title of the contributionPDA-BCJR algorithm for factorial hidden Markov models with application to MIMO equalisation
Original languageEnglish
Title of host publicationEuropean Signal Processing Conference (EUSIPCO), Florence, Italy
PublisherEuropean Association for Signal Processing (EURASIP)
Publication statusPublished - Sep 2006
Event14th European Signal Processing Conference (EUSIPCO) - Florence, Italy
Duration: 1 Sep 2006 → …

Conference

Conference14th European Signal Processing Conference (EUSIPCO)
CountryItaly
CityFlorence
Period1/09/06 → …

Bibliographical note

Conference Proceedings/Title of Journal: EUSIPCO 2004: 14th European Signal Processing Conference
Rose publication type: Conference contribution

Additional information: With accompanying conference presentation

Sponsorship: The authors would like to thank C. Vithanage for helpful comments and Toshiba TRL Bristol UK for supporting this
work

Keywords

  • MIMO
  • turbo detection
  • variational inference
  • PDA
  • FHMM
  • HMM
  • BCJR

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