NDLI: CI fusion filter for networked systems with uncertain observations, random delays and packets losses

Content Provider	IEEE Xplore Digital Library
Author	Li Na Ma Jing Sun Shuli
Copyright Year	2014
Description	Author affiliation: Sch. of Electron. Eng., Heilongjiang Univ., Harbin, China (Li Na; Sun Shuli) \|\| Sch. of Math. Sci., Heilongjiang Univ., Harbin, China (Ma Jing)
Abstract	This paper is concerned with the covariance intersection (CI) fusion filtering problem for networked systems with multiple sensors subject to uncertain observations, random delays and losses of transmitted packets. Several groups of Bernoulli distributed random variables are used to depict the phenomena of uncertain observations, different random delays and losses of transmitted packets from different sensors to the fusion center. Using the innovation analysis approach, local optimal linear filter based on each sensor is presented in the linear minimum variance sense. Further, a distributed suboptimal fusion filter is obtained by using the CI fusion algorithm. It has the reduced computational burden since the computation of cross-covariance matrices is avoided. Moreover, it has better accuracy than any local filters. A simulation example verifies the effectiveness.
Starting Page	5813
Ending Page	5817
File Size	129796
Page Count	5
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6895934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Maximum likelihood detection random delay Packet loss Nonlinear filters Filtering algorithms Filtering theory Loss measurement Delays Sensors covariance intersection (CI) fusion filter networked system uncertain observation
Content Type	Text
Resource Type	Article

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