This paper presents a novel a priori knowledgebased algorithm for traffic monitoring applications. The powerful post-Doppler space-time adaptive processing (PD STAP) is combined with a known road network obtained from the freely available OpenStreetMap (OSM) database. The road information is applied after the PD STAP for recognizing and rejecting false detections, and moreover, for repositioning the vehicles detected in the vicinity of the roads. The algorithm presents great potential for real-time processing, decreased hardware complexity and low costs compared to state-of-the-art systems. The processor was tested using real multi-channel data acquired by DLR’s airborne system F-SAR. The experimental results are shown and discussed, and the novelties are highlighted (e.g., the benefits of using a priori knowledge information).
Novel post-Doppler STAP with a priori knowledge information for traffic monitoring applications: basic idea and first results
Advances in Radio Science - Kleinheubacher Berichte ; 15 ; 77-82
21.09.2017
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Novel post-Doppler STAP with a priori knowledge information for traffic monitoring applications
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