NDLI: Predictive fusion weighted method based on multisensor time-delay network

Content Provider	IEEE Xplore Digital Library
Author	Liu Xikui Li yan
Copyright Year	2008
Description	Author affiliation: Coll. of Inf .& Eng., Shandong Univ. of Sci. & Technol., Qingdao (Liu Xikui; Li yan)
Abstract	Because the existing fusion methods based on network-delay often use the traditional synchronous fusion algorithms directly, it inevitably induces some problems, such as information delay, resource free, and bad real-time performance etc.. Aiming at above problems this paper combined the predictive estimate with the technology of sequential weighted fusion at the basis of the existing research. Accordingly, a new multisensor predictive weighted fusion method which could adapt to network-delay was proposed. The new method can not only avoid the disadvantages existing in the current data fusion method founded on network delay but also gain the better real-time predictive function. It presents the process to deduce the sequential predictive weighted method based on network-delay. Moreover, the computer simulation and theoretical analysis are used to show the practicability and advantage of the proposed fusion method.
Starting Page	91
Ending Page	94
File Size	113421
Page Count	4
File Format	PDF
ISBN	9787900719706
DOI	10.1109/CHICC.2008.4605378
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute Of Intelligence M&C Technical Of KMUST
Subject Keyword	Real time systems Algorithm design and analysis Linear unbiased estimate Estimation Multisensor system Prediction algorithms Information filters Network-delay Predictive weighted fusion Kalman filters Optimal Delay
Content Type	Text
Resource Type	Article

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