NDLI: Optimal multiesensor asynchronous fusion based on state transform

Content Provider	IEEE Xplore Digital Library
Author	Quan-Bo Ge Cheng-Lin Wen
Copyright Year	2007
Description	Author affiliation: Shanghai Maritime Univ., Shanghai (Quan-Bo Ge)
Abstract	Asynchronous fusion is one of main difficulties in multisensor data fusion field at present. Aiming at the problems which exist in current asynchronous fusion methods based on pseudo-measurements, such as man-made noise correlations, bad real-time tracking performance, and excessive computation burden at the final fusion time etc., this paper proposes an optimal sequential asynchronous fusion algorithm based on state transform as a result of researching continuous and distributed multisensor asynchronous dynamic systems. The proposed algorithm establishes dynamic state equation between two adjoining sample times by use of state relation obtained from the discretization process of continuous systems between these sensor sample times during fusion period and systemic fusion time. Accordingly, it can obtain a series of new state and measurement equations which accord with the requirements of standard Kalman filter in the fusion period, and asynchronous data fusion is finished by using these measurement and new state equations to perform sequential Kalman filter. The theoretic performance analysis and computer simulation show that the proposed method can not only avoid and overcome these current problems but also can achieve high fusion estimate accuracy.
Starting Page	360
Ending Page	365
File Size	403701
Page Count	6
File Format	PDF
ISBN	9781424410651
DOI	10.1109/ICWAPR.2007.4420694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Performance evaluation Heuristic algorithms state transform Transforms sequential fusion Sensor fusion Continuous time systems Sensor systems Distributed computing Equations Measurement standards the adjoining sample times asynchronous systems discretization
Content Type	Text
Resource Type	Article

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