We consider signature exploitation based waveform design for detection of weapons with a single-antenna monostatic radar. In order to account for the target signature variation with orientation and aspect angle, we model the target impulse response as a random process. For a weapon target, we show that the stochastic model based waveform significantly outperforms the commonly used chirp waveform in terms of the signal-to-clutter-and-noise ratio (SCNR) at the output of the receive filter, leading to an enhanced detection performance.


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    Titel :

    Stochastic Model Based Radar Waveform Design for Weapon Detection


    Beteiligte:
    Ahmad, F. (Autor:in) / Amin, M. G. (Autor:in)


    Erscheinungsdatum :

    2012-04-01


    Format / Umfang :

    4267397 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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