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.
Stochastic Model Based Radar Waveform Design for Weapon Detection
IEEE Transactions on Aerospace and Electronic Systems ; 48 , 2 ; 1815-1826
2012-04-01
4267397 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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