期刊
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
卷 23, 期 14, 页码 1597-1608出版社
WILEY
DOI: 10.1002/rnc.2848
关键词
distributed measurements; correlated noises; distributed estimation; real-time Kalman filtering
资金
- Independent Innovation Foundation of Shandong University [2010TS007]
- Outstanding Young Scientist Research Award Fund of Shandong Province [BS2011DX019, BS2011SF009]
- National Natural Science Foundation of China [61174141]
- HKU CRCG Grant [200907176129]
A kind of real-time Kalman filtering problem is discussed for systems with distributed multichannel measurements. Recursive filters are presented for two cases with correlated and uncorrelated measurement noises. An optimal algorithm is constructed using projection theory in Hilbert space according to a first-come-first-served scheme. An update is generated whenever a new measurement arrives at a central unit. Therefore, the algorithm has the practical advantages of flexibility and the easiness for real-time implementation. Copyright (c) 2012 John Wiley & Sons, Ltd.
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