Skip to content

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)
StatePublished - Sep 2006

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 → …
CityFlorence
CountryItaly

Event: Conference

Documents

Documents

Links

View research connections

Related faculties, schools or groups