NDLI: Distributed data fusion via federated alpha-beta-gamma filter

Content Provider	IEEE Xplore Digital Library
Author	Li-Wei Fong Chien-Chu Wang
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. Manage., Nat. United Univ., Miaoli (Li-Wei Fong; Chien-Chu Wang)
Abstract	A federated alpha-beta-gamma filter is developed for utilization in multi-sensor systems tracking a maneuvering target. Filter architecture that consists of local processors and global processor is employed to describe the distributed fusion problem due to correlation across track estimates for the same target when several sensors execute surveillance over the certain area. Each local processor uses decoupling technique to develop the tracking index to obtain the alpha-beta-gamma filter gain and the corresponding covariance formulations that are recursively computed in the line-of-sight Cartesian coordinate system and then transformed for use in the reference Cartesian coordinate system. Common process noise correlations are handled by the factor which is selected by a conservative matrix upper bound. The global processor combines local processor outputs via weighted least square estimator. The resulting filter has computational advantages over traditional maximum likelihood estimator with similar performance. Simulation results are included to demonstrate the effectiveness of the proposed algorithm.
Starting Page	1
Ending Page	6
File Size	118194
Page Count	6
File Format	PDF
ISBN	9781424417056
DOI	10.1109/ICIT.2008.4608369
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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