Sensor management via riemannian geometry

William Moran, Stephen D. Howard, Douglas Cochran, Sofia Suvorova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In estimation of scenario parameters from sensor data, the Fisher information induces a Riemannian metric on the manifold of parameters. If the collection of sensors is reconfigured, this metric changes. In this way, sensor configurations are identified with Riemannian metrics on the parameter manifold. The collection of all Riemannian metrics on a manifold forms a (weak) Riemannian manifold, and smooth changes in configuration of the sensor suite manifests as a smooth curve in this space. This paper examines the idea of sensor management via navigation along geodesics in a sub-manifold of this space corresponding to physically viable sensor configurations; i.e., curves that optimize an energy integral in the sub-manifold. In addition to development of the theory, computational examples that illustrate sensor configuration trajectories arising from this scheme in small-scale scenarios are presented.

Original languageEnglish (US)
Title of host publication2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012
Pages358-362
Number of pages5
DOIs
StatePublished - Dec 1 2012
Event2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012 - Monticello, IL, United States
Duration: Oct 1 2012Oct 5 2012

Publication series

Name2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012

Other

Other2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012
CountryUnited States
CityMonticello, IL
Period10/1/1210/5/12

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Sensor management via riemannian geometry'. Together they form a unique fingerprint.

  • Cite this

    Moran, W., Howard, S. D., Cochran, D., & Suvorova, S. (2012). Sensor management via riemannian geometry. In 2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012 (pp. 358-362). [6483240] (2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012). https://doi.org/10.1109/Allerton.2012.6483240