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A multimodal sensor system for runway debris detection

Published online by Cambridge University Press:  08 May 2012

Helmut Essen*
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Wolfgang Koch
Affiliation:
Fraunhofer – FKIE, Department of SDF, Neuenahrer Strasse 20, D53343 Wachtberg, Germany
Sebastian Hantscher
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Rüdiger Zimmermann
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Paul Warok
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Martin Schröder
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Marek Schikora
Affiliation:
Fraunhofer – FKIE, Department of SDF, Neuenahrer Strasse 20, D53343 Wachtberg, Germany
Goert Luedtke
Affiliation:
Fraunhofer – FKIE, Department of SDF, Neuenahrer Strasse 20, D53343 Wachtberg, Germany
*
Corresponding author: H. Essen Email: helmut.essen@fhr.fraunhofer.de

Abstract

For foreign object detection on runways, highly sensitive radar sensors give the opportunity to detect even very small objects, metallic and non-metallic, also under adverse weather conditions. As it is desirable for airport applications to install only small but robust installations along the traffic areas, millimeter-wave radars offer the advantage of small antenna apertures and miniaturized system hardware. A 220-GHz radar was developed, which is capable to serve this application, if several of these are netted to cover the whole traffic area. Although under fortunate conditions the radar allows a classification or even an identification of the debris, the complete system design incorporates 3-D time-of-flight cameras for assistance in the identification process, which are also distributed along the traffic areas. The system approach further relies upon a change detection algorithm on the netted information to discriminate non-stationary alarms and reduce the false alarm ratio.

Type
Research Papers
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2012

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References

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