NDLI: Data Association for Multiple Sensor Types Using Fuzzy Logic

Content Provider	IEEE Xplore Digital Library
Author	Stubberud, S.C. Kramer, K.A.
Copyright Year	1963
Abstract	The concept of target tracking, a part of level 1 data fusion, is to combine measures from various sensors to form a coherent picture of the scene. A key component of the fusion problem is data association, the assignment of various measurements to existing target tracks. For the typical case in target association where both the target tracks and the measurements are described with Gaussian random variables, the standard association uses the chi² metric, a weighted inner product of the residual formed by an estimated measurement and the true measurement. There are cases where the measurements are not well described as Gaussian random variables, including those from sensors that have uncertainties that are better approximated as uniform distributions or where the Gaussian distribution is corrupted by sensor blockage or target constraints. Based upon the proven concept of the chi² metric, a straightforward fuzzy-logic-based association method is developed that can emulate this metric for Gaussian measurements but can be modified to address problems where the Gaussian assumption on the track and/or measurement is not appropriate
Sponsorship	IEEE Instrumentation and Measurement Society Bureau international des poids et mesures IEEE International Bureau of Weights and Measures (BIPM) URSI NBS Agency Ind. Sci. & Technol., Min. Int. Trade & Ind. Sci. Council Japan International Union of Pure and Applied Physics (IUPAP) NIST NRCC National Conference of Standards Laboratories (NCSL) Allen Osborne Associates Andeen-Hagerling, Inc. Ballantine Lab. Inc. Clarke-Hess Communications Research Corp. Fluke Corporation Guildline Instruments Hewlett-Packard Co. Julie Res. Lab. Inc. Keithley Instruments, Inc. Measurements International Ltd. Canada QuadTech Inc. Quantum Design Inc. Rotek Instrum. Corp. Tegam Inc. Tektronix Inc
Starting Page	2292
Ending Page	2303
Page Count	12
File Size	1371223
File Format	PDF
ISSN	00189456
Volume Number	55
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Target tracking Sensor fusion Sensor phenomena and characterization Intelligent sensors Random variables Gaussian distribution Sensor systems Measurement uncertainty Density functional theory tracking Correlation data association fuzzy logic intelligent systems multisensor systems
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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