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Proceedings Paper

Sensor-netting algorithm for CB threat mapping
Author(s): Thomas Gruber; Larry Grim; Christopher Keiser; William Ginley
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Paper Abstract

Large networks of disparate chemical/biological (CB) sensors, MET sensors, and intelligence, surveillance, and reconnaissance (ISR) sensors reporting to various command/display locations can lead to conflicting threat information, questions of alarm confidence, and a confused situational awareness. Sensor netting algorithms (SNA) are being developed to resolve these conflicts and to report high confidence consensus threat map data products on a common operating picture (COP) display. A phase I SBIR study to develop a conceptual design for a SNA was recently completed. Mathematical approaches for assigning uncertainty to incoming data streams, doing spatial/temporal correlation of point and standoff sensor data (via vector translation based tomography), estimating uncertainty for threat maps, and consistency checking between the consensus threat map result and the individual input data streams were developed. A set of simulation environment tools for testing the SNA, including a simple threat model, sensor models, and fused and un-fused COPs, were also prototyped during phase I. The SNA development and simulation based testing will continue during the phase II effort, which was just awarded.

Paper Details

Date Published: 5 May 2010
PDF: 11 pages
Proc. SPIE 7665, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI, 76650H (5 May 2010); doi: 10.1117/12.850110
Show Author Affiliations
Thomas Gruber, MESH, Inc. (United States)
Larry Grim, MESH, Inc. (United States)
Christopher Keiser, U.S. Army (United States)
William Ginley, U.S. Army (United States)

Published in SPIE Proceedings Vol. 7665:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI
Augustus Way Fountain III; Patrick J. Gardner, Editor(s)

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