A simple method is presented to detect a target moving along runways and taxiways of an airport from images provided by a surface movement radar, even with a very noisy image. The aim of the application is to determine the position of aircraft in advanced surface movement guidance and control systems (A-SMGCS). The radar sensor is a prototype operating in the millimetre band (95 GHz) and conceived for the surveillance function, developed by Oerlikon Contraves Italiana SpA. The adaptive filter presented operates by integrating the radar echo over a moving area, filtering the background average value adaptively, and thresholding the result in order to get a fix on the target. The choice of the threshold is a trial and error process which try to find a trade off between the hit rate and the false alarm rate. It was not possible to test the system in real time, with the computer directly connected to the radar but, on playback data, the overhead of seeking for a target with the proposed filter was found to be negligible over the time needed to display the graphic raw video.


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    Titel :

    Adaptive algorithm for target extraction from a surface movement radar


    Beteiligte:
    Piazza, E. (Autor:in)


    Erscheinungsdatum :

    1999


    Format / Umfang :

    10 Seiten, 6 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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