A Priori Knowledge-Based STAP for Traffic Monitoring Applications: First Results

Abstract

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.