Paper
26 April 2010 Waveform design for detection of weapons based on signature exploitation
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fauzia Ahmad, Moeness G. Amin, and Traian Dogaru "Waveform design for detection of weapons based on signature exploitation", Proc. SPIE 7669, Radar Sensor Technology XIV, 76690V (26 April 2010); https://doi.org/10.1117/12.850784
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KEYWORDS
Firearms

Stochastic processes

Target detection

Radar

Signal to noise ratio

Weapons

Electronic filtering

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