Adaptive algorithms for real-time target extraction from a surface movement radar

Enrico Piazza

doi:10.1117/12.403606

9 October 2000 Adaptive algorithms for real-time target extraction from a surface movement radar

Enrico Piazza

Proceedings Volume 4118, Parallel and Distributed Methods for Image Processing IV; (2000) https://doi.org/10.1117/12.403606
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

In the present work is presented a simple algorithm to detect target moving along runways and taxiways of an airport from images provided by a Surace Movement Radar, even with a very noise 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 in the framework of the research project on transportation with a grant awarded by the Italian National research Council. The adaptive filter here 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. The filter operate on the composition of two consecutive scans and with completely automatic threshold selections.

Citation Download Citation

Enrico Piazza "Adaptive algorithms for real-time target extraction from a surface movement radar", Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); https://doi.org/10.1117/12.403606

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