Abstract
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 language | English |
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Pages (from-to) | 913-931 |
Number of pages | 19 |
Journal | International Journal of Systems Science |
Volume | 21 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 1990 |
Externally published | Yes |
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications