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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    Title :

    Stochastic Model Based Radar Waveform Design for Weapon Detection


    Contributors:
    Ahmad, F. (author) / Amin, M. G. (author)


    Publication date :

    2012-04-01


    Size :

    4267397 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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