Decentralized estimation algorithms for a backward pass fixed-interval smoother
作者:
KEIGO WATANABE,
SPYROSG. TZAFESTAS,
期刊:
International Journal of Systems Science
(Taylor Available online 1990)
卷期:
Volume 21,
issue 5
页码: 913-931
ISSN:0020-7721
年代: 1990
DOI:10.1080/00207729008910421
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
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.
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