NDLI: Globally optimal real-time distributed fusion of multi-channel observation systems

Content Provider	IET Digital Library
Author	Cui, Peng Zhang, Huanshui Wang, Hongxia Feng, Jun E.
Abstract	A globally optimal real-time distributed fusion algorithm is discussed for multi-channel observation systems. The performance of the fusion is equal to that of centralised Kalman filtering. Different from the existing one based on information filters, the algorithm uses the projection theorem in Hilbert space according to First-Come-First-Serve principle. Local estimates are instantly fused with arrival of local information at fusion centre. Meantime, a real-time strategy is presented to balance the performance and the speed of fusion. Therefore the algorithm is flexible and has the practical benefits.
Starting Page	384
Ending Page	388
Page Count	5
ISSN	17518644
Volume Number	8
e-ISSN	17518652
Issue Number	Issue 6, Apr (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/8/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2013.0046
Journal	IET Control Theory & Applications
Publisher Date	2014-02-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Centralised Kalman Filtering Distributed Algorithm Filtering Method in Signal Processing First-come-first-serve Principle Fusion Centre Globally Optimal Real-time Distributed Fusion Hilbert Space Information Filter Kalman Filter Mathematical Analysis Multichannel Observation System Parallel Programming And Algorithm Theory Projection Theorem Real Time System Real-time Strategy Signal Processing Theory
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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