A Priori Knowledge Based GMTI Algorithm For Traffic Monitoring Applications
Baumgartner S, Krieger G (2010)
Publication Type: Conference contribution
Publication year: 2010
Publisher: VDE Verlag GmbH
Edited Volumes: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Pages Range: 469-472
Conference Proceedings Title: European Conference on Synthetic Aperture Radar (EUSAR)
ISBN: 9783800732722
URI: https://elib.dlr.de/61786/
Abstract
In the paper a ground moving target indication and parameter estimation algorithm applicable on single-as well as on multi-channel airborne synthetic aperture radar data is presented. The algorithm is based on a priori knowledge and operates directly on range-compressed data. Only the intersection points of the moving vehicle signals with the a priori known road axes, which are mapped into the range-compressed data domain, are evaluated. The algorithm needs low computational power and, hence, it is suitable for real-time traffic monitoring applications. The absolute velocities, the headings and the geocoded positions of the detected moving vehicles can be estimated. A verification of the algorithm is done using real dual-channel data acquired with DLR's new airborne system F-SAR.
Authors with CRIS profile
Additional Organisation(s)
Involved external institutions
Germany (DE)How to cite
APA:
Baumgartner, S., & Krieger, G. (2010). A Priori Knowledge Based GMTI Algorithm For Traffic Monitoring Applications. In European Conference on Synthetic Aperture Radar (EUSAR) (pp. 469-472). VDE Verlag GmbH.
MLA:
Baumgartner, Stefan, and Gerhard Krieger. "A Priori Knowledge Based GMTI Algorithm For Traffic Monitoring Applications." Proceedings of the 8th European Conference on Synthetic Aperture Radar, EUSAR 2010 VDE Verlag GmbH, 2010. 469-472.
BibTeX: Download