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Optical Engineering

Probabilistic data association applications to data fusion
Author(s): Carlo Quaranta; Giorgio Balzarotti
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Paper Abstract

We describe a new approach to fusion techniques in a multiple target tracking system for an infrared search and track (IRST) system operating in the mid- and long-wave infrared (IR) bands. The use of the two IR bands allows better performances in terms of detection probability, lower number of false tracks, and shorter time for track declaration. To properly merge data from the two sensors, an enhancement of the probabilistic data association (PDA) technique is introduced in the process. A simplification of the approach used brings back the algorithm to the well-known PDA, allowing its use in conjunction with the interacting multiple model (IMM) with increased tracking ability of the system.

Paper Details

Date Published: 1 February 2008
PDF: 11 pages
Opt. Eng. 47(2) 027007 doi: 10.1117/1.2857445
Published in: Optical Engineering Volume 47, Issue 2
Show Author Affiliations
Carlo Quaranta, SELEX Sensors and Airborne Systems SpA (Italy)
Giorgio Balzarotti, Galileo Avionica S.p.A. (Italy)

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