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Accession Number ADA587095
Title Information-Geometric Approach to Sensor Scheduling.
Publication Date Apr 2012
Media Count 6p
Personal Author B. Moran D. Cochran S. D. Howard
Abstract An information-geometric approach to sensor management is introduced that is based on following geodesic curves in a manifold of possible sensor configurations. This perspective arises by observing that, given a parameter estimation problem to be addressed through management of sensor assets, any particular sensor configuration corresponds to a Riemannian metric on the parameter manifold. With this perspective, managing sensors involves navigation on the space of all Riemannian metrics on the parameter manifold, which is itself a Riemannian manifold. Existing work assumes the metric on the parameter manifold is one that, in statistical terms, corresponds to a Jeffreys prior on the parameter to be estimated. It is observed that informative priors, as arise in sensor management, can also be accommodated. Given an initial sensor configuration, the trajectory along which to move in sensor configuration space to gather most information is seen to be locally defined by the geodesic structure of this manifold. Further, divergences based on Fisher and Shannon information lead to the same Riemannian metric and geodesics.
Keywords Configurations
Information geometry
Sensor management

Source Agency Non Paid ADAS
NTIS Subject Category 72B - Algebra, Analysis, Geometry, & Mathematical Logic
63F - Optical Detection
Corporate Author Michigan Univ., Ann Arbor. Div. of Research Development and Administration.
Document Type Technical report
Title Note Conference paper.
NTIS Issue Number 1405
Contract Number W911NF-11-1-0391

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