Decentralized estimation algorithms for a backward pass fixed-interval smoother

Keigo Watanabe, Spyros G. Tzafestas

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Decentralized smoothing algorithms are described for parallel-processing of the multisensor data obtained through linear discrete-time systems. The global fixed-interval smoother of backward-pass in time is used, modified so as to use the U-D factorization. Two cases are considered for the problems of decentralized smoothing and smoothing update: When the local forward-pass information filtered estimates are available, and when the local-smoothed estimates are available. It is then shown that the resulting algorithms are the dual versions of algorithms in a forward-pass realization derived by authors. The situation where the data at each local processor are to be time-sequential is also examined.

Original languageEnglish
Pages (from-to)913-931
Number of pages19
JournalInternational Journal of Systems Science
Issue number5
Publication statusPublished - May 1990
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications


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