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Proceedings Paper

Waveform design for detection of weapons based on signature exploitation
Author(s): Fauzia Ahmad; Moeness G. Amin; Traian Dogaru
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Paper Abstract

We present waveform design based on signature exploitation techniques for improved detection of weapons in urban sensing applications. A single-antenna monostatic radar system is considered. Under the assumption of exact knowledge of the target orientation and, hence, known impulse response, matched illumination approach is used for optimal target detection. For the case of unknown target orientation, we analyze the target signatures as random processes and perform signal-to-noise-ratio based waveform optimization. Numerical electromagnetic modeling is used to provide the impulse responses of an AK-47 assault rifle for various target aspect angles relative to the radar. Simulation results depict an improvement in the signal-to-noise-ratio at the output of the matched filter receiver for both matched illumination and stochastic waveforms as compared to a chirp waveform of the same duration and energy.

Paper Details

Date Published: 26 April 2010
PDF: 8 pages
Proc. SPIE 7669, Radar Sensor Technology XIV, 76690V (26 April 2010); doi: 10.1117/12.850784
Show Author Affiliations
Fauzia Ahmad, Villanova Univ. (United States)
Moeness G. Amin, Villanova Univ. (United States)
Traian Dogaru, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 7669:
Radar Sensor Technology XIV
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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