NDLI: Intelligent Avionics with Advanced Clustering

Content Provider	IEEE Xplore Digital Library
Author	Meier, J. Sproull, T. Covington, G.A. Lockwood, J.W.
Copyright Year	2008
Description	Author affiliation: Boeing Corp., St. Louis, MO (Meier, J.)
Abstract	In this paper, we consider tracking targets using multiple distributed sensor platforms. Rather than sending the tracks to a central location, such as a command and control center where information is exchanged between platforms, we consider a distributed solution. While fixed position single sensor tracking of a single target is considered straightforward, multiple sensors on the different platforms with overlapping coverage is complex because duplicate tracking data is generated for the same targets. Redundant information generates network messages that in turn overload the network performance, and may result in traffic congestion on limited avionic bandwidth wireless links that prevents time critical data from reaching its destination. In our approach, we identify similar tracking data to be distributed and send only one copy of the message. In order to identify redundant data, we use a clustering algorithm to evaluate the large volumes of sensor information. Distributed multiple target tracking (MTT) combines track observations from different sensors to identify the same target. Massive computation and communication is required for distributed real time MTT. In this paper, the K-means clustering algorithm is used to aggregate redundant tracks. Software simulations using Matlab and emulation tests using Emulab show significant improvement of the information quality by using clustering. An MTT system was prototyped with FPGA hardware to cluster high volumes of data with low latency in real time at the network layer.
Starting Page	1
Ending Page	12
File Size	758301
Page Count	12
File Format	PDF
ISBN	9781424414871
ISSN	1095323X
DOI	10.1109/AERO.2008.4526593
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Aerospace electronics Target tracking Intelligent sensors Clustering algorithms Command and control systems Telecommunication traffic Bandwidth Wireless sensor networks Distributed computing Aggregates
Content Type	Text
Resource Type	Article
Subject	Aerospace Engineering Space and Planetary Science

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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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