Data Fusion paper, 2003

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Title

Improved data fusion through intelligent sensor management

Abstract:

This paper investigates how the targeting capability of a distributed data fusion system can be improved through the use of intelligent sensor management.

The research reported here builds upon previous results from QinetiQ's air-to-ground fusion programme and sensor management research. QinetiQ's previously reported software test-bed for developing and evaluating data fusion algorithms has been enhanced to include intelligent sensor management functions and weapon fly-out models.

In this paper details of the enhancements are provided together with a review of the sensor management algorithms employed. These include flight path optimisation of airborne sensors to minimise target state estimation error, sensor activation control and sightline management of individual sensors for optimal targeting performance.

Initial results from investigative studies are presented and conclusions are drawn.

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Authors:

M. I. Smith, Waterfall Solutions, UK;
C. R. Angell, Qinetiq, Farnborough, UK;
M. L. Hernandez, Qinetiq, Malvern, UK;
W. J. Oxford, Qinetiq, Farnborough, UK;

Conferences:

AeroSense 2003. Conference 5096: Signal Processing, Sensor Fusion, and Target Recognition XII