A Priori Knowledge-Based STAP for Traffic Monitoring Applications: First Results
Konferenz: EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar
06.06.2016 - 09.06.2016 in Hamburg, Germany
Tagungsband: EUSAR 2016
Seiten: 5Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Silva, Andre Barros Cardoso da; Baumgartner, Stefan Valentin (German Aerospace Center (DLR), Germany)
This paper presents a novel a priori knowledge-based algorithm for traffic monitoring applications using the well-known post-Doppler space-time adaptive processing (PD STAP). The algorithm includes a road network obtained from the OpenStreetMap (OSM) database fused with a digital elevation model (DEM) to recognize and to reject false detections, and moreover, to reposition the vehicles detected in the vicinity of roads. The algorithm was verified using real data acquired by the DLR’s airborne F-SAR. The first experimental results are discussed and compared with the results obtained by the conventional PD STAP without the benefits of a priori knowledge.