A Priori Knowledge Based GMTI Algorithm For Traffic Monitoring Applications
Konferenz: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
07.06.2010 - 10.06.2010 in Aachen, Germany
Tagungsband: EUSAR 2010
Seiten: 4Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Baumgartner, Stefan V.; Krieger, Gerhard (Microwaves and Radar Institute, German Aerospace Center (DLR), Münchner Strasse 20, 82234 Wessling, Germany)
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.