Information-theoretic sensor management for multimodal sensing

Published

Conference Paper

In recent years, sensor management algorithms have been studied for the purpose of providing intelligent, automated control of complex fielded sensor suites in remote sensing applications. In this paper, a framework for sensor management is presented that is based on the information-theoretic formulation of Kastella. The sensor manager searches for N targets using M multimodal sensing platforms and incorporates realistic features such as cost of motion and cost of use for the sensors as well as the availability of useful prior information about the region of interest. In all cases, the performance of the sensor manager is found to be superior to a direct search procedure in which the sensors methodically sweep through the cell grid. Sensitivity of the sensor manager to erroneous prior information is also examined, and the sensor manager performance is found to be robust to reasonable errors in the prior information. Finally, the sensor manager is demonstrated to perform successfully on a set of real landmine data.

Full Text

Duke Authors

Cited Authors

  • Kolba, MP; Collins, LM

Published Date

  • January 1, 2006

Published In

  • International Geoscience and Remote Sensing Symposium (Igarss)

Start / End Page

  • 3918 - 3921

International Standard Book Number 10 (ISBN-10)

  • 0780395107

International Standard Book Number 13 (ISBN-13)

  • 9780780395107

Digital Object Identifier (DOI)

  • 10.1109/IGARSS.2006.1009

Citation Source

  • Scopus