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Proceedings Paper

Instantiation of dynamic goals based on situation information in sensor management systems
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Paper Abstract

Valued situation information is introduced as a measure which can be used to determine which information to obtain with a heterogeneous sensor system in a non-stationary, dynamic environment. Situation information is based on the change in the total Kullback-Leibler divergence of a particular type of influence diagram which we call a situation information expected value network (SIEV Net). The SIEV Net weights situation chance nodes by their dynamic mission goal values as expressed in the topmost goals of a mission goal lattice and computes the valued expected information which will result if a particular information request is selected. The sensor information request which yields the largest valued expected information is then instantiated. The result is the greatest reduction in uncertainty of our situation estimate while constrained to maximize the mission value of the information obtained.

Paper Details

Date Published: 17 May 2006
PDF: 9 pages
Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 62350B (17 May 2006); doi: 10.1117/12.665017
Show Author Affiliations
Kenneth J. Hintz, George Mason Univ. (United States)
Matthew Henning, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 6235:
Signal Processing, Sensor Fusion, and Target Recognition XV
Ivan Kadar, Editor(s)

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