Radar track classification or discrimination is a capability that unlocks the potential of the common radar sensor that typically reports only track information. For example, in counter-UAV analysis there are many more tracks from birds and other moving clutter than from UAVs, so UAV radars can be overwhelmed with uninteresting tracks of birds. Track classification tries to identify the characteristics of UAVs in flight to discriminate UAVs from other tracks and thus to reduce false alarms. We have performed a pilot project on machine learning of the track characteristics to develop this capability, finding better than 90% sensitivity and specificity on recognizing multiple types of target UAVs.


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    Titel :

    UAV discrimination from birds using radar track information


    Beteiligte:
    Hedden, Abigail S. (Herausgeber:in) / Mazzaro, Gregory J. (Herausgeber:in) / Raynal, Ann Marie (Herausgeber:in) / Tahmoush, Dave (Autor:in)

    Kongress:

    Radar Sensor Technology XXVII ; 2023 ; Orlando, Florida, United States


    Erschienen in:

    Proc. SPIE ; 12535


    Erscheinungsdatum :

    14.06.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    UAV discrimination from birds using radar track information

    Tahmoush, Dave | British Library Conference Proceedings | 2023


    Radar, birds and aircraft

    Eastwood, E. | Engineering Index Backfile | 1969


    A Hypothesis Testing Method for Phantom Track Discrimination in Centralized Radar Network

    Wu, Jianping / Wang, Guohong / Sun, Dianxing et al. | British Library Online Contents | 2015


    Radar target discrimination using neural networks

    Joon-Ho Lee, / Hyo-Tae Kim, | IEEE | 2010


    Radar characteristics of birds in flight.

    Dobson, E. B. / Hicks, J. J. / Konrad, T. G. | NTRS | 1968