NDLI: A comparison of the tracking performance of some distributed multisensor data fusion algorithms based on Kalman filter methods

Content Provider	IEEE Xplore Digital Library
Author	Puranik, S. Jannett, T.C.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Alabama Univ., Birmingham, AL, USA (Puranik, S.; Jannett, T.C.)
Abstract	This paper deals with data fusion algorithms used for multi-sensor tracking used in the context of deployable autonomous distributed system (DADS). DADS is an advanced tactical/surveillance system that operates as an autonomous field of underwater-distributed sensor nodes. It is comprised of a network of intelligent battery-powered sensors that can detect and track a moving object in space. Control of operating modes and sensor-to-sensor communications is needed to optimize the performance and operating life of the sensor field. The principal objective of this project is to develop exemplary fusion algorithms for tracking in a multisensor system to facilitate the development and evaluation of approaches for distributed control of the sensor system. The scope of the work is restricted to investigate the various data fusion and track fusion techniques based on the Kalman filter methods. We assume that the sensor has already detected a target with range and bearing measurements.
Sponsorship	Lane Dept. Comput. Sci. & Electr. Eng. Electr. & Comput. Eng., WVU Inst. Technol. Adv. Power Eng. Res. Center IEEE Control Syst. Soc. IEEE West Virginia Sect
Starting Page	455
Ending Page	459
File Size	326953
Page Count	5
File Format	PDF
ISBN	0780376978
ISSN	00942898
DOI	10.1109/SSST.2003.1194612
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent sensors Underwater tracking Sensor systems Surveillance Intelligent networks Object detection Communication system control Multisensor systems Distributed control Target tracking
Content Type	Text
Resource Type	Article

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