We have recently presented a processor for traffic monitoring applications that combines the post-Doppler space-time adaptive processing (PD STAP) with a road map obtained from the freely available OpenStreetMap (OSM). In this paper, the positioning error model of this processor is presented and discussed. In fact, two error models are combined: one for the PD STAP detections and one for the OSM road points. The positioning error model is essential for obtaining robust and reliable results. It was tested using real 4-channel aperture switching radar data acquired by the DLR’s airborne system F-SAR. The results reveal a powerful algorithm that recognizes and rejects most of the false detections, being suitable for many traffic monitoring applications.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    STAP moving target position estimation accuracy improvement and false detection recognition using a priori road information



    Kongress:

    2017 ; Prague, Czech Republic



    Erscheinungsdatum :

    2017-06-01


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Automatic target recognition of slow moving ground targets using stap

    Malas, J.A. / Pasala, K.M. / Westerkamp, J.J. | IEEE | 2003


    6.0503 Automatic Target Recognition of Slow Moving Ground Targets Using STAP

    Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003


    Novel post-Doppler STAP with a priori knowledge information for traffic monitoring applications

    Barros Cardoso da Silva, Andre / Baumgartner, Stefan | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2016

    Freier Zugriff

    CFAR detection and estimation for STAP radar

    Reed, I.S. / Gau, Y.L. / Truong, T.K. | IEEE | 1998


    CFAR Detection and Estimation for STAP Radar

    Reed, I.S. | Online Contents | 1998