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

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

Original languageEnglish
Title of host publicationEuropean Signal Processing Conference (EUSIPCO), Florence, Italy
Publisher or commissioning bodyEuropean Association for Signal Processing (EURASIP)
Publication dateSep 2006
StatePublished

Conference

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

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

Additional information

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

Research areas

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

Event

14th European Signal Processing Conference (EUSIPCO)

Duration1 Sep 2006 → …
CountryItaly
CityFlorence

Event: Conference

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