An information-geometric approach to sensor management

Moran, W, Howard, S and Cochran, D 2012, 'An information-geometric approach to sensor management', in Hideaki Sakai, Takao Nishitani (ed.) Proceedings of the 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012), Kyoto, Japan, 25-30 March 2012, pp. 5261-5264.


Document type: Conference Paper
Collection: Conference Papers

Title An information-geometric approach to sensor management
Author(s) Moran, W
Howard, S
Cochran, D
Year 2012
Conference name ICASSP 2012
Conference location Kyoto, Japan
Conference dates 25-30 March 2012
Proceedings title Proceedings of the 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)
Editor(s) Hideaki Sakai, Takao Nishitani
Publisher IEEE
Place of publication United States
Start page 5261
End page 5264
Total pages 4
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.
Subjects Signal Processing
Stochastic Analysis and Modelling
Keyword(s) Information geometry
Sensor management
DOI - identifier 10.1109/ICASSP.2012.6289107
Copyright notice © 2012 IEEE
ISBN 9781467300452
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