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24 August 2000 Using models and measurements to describe ultrawideband radar-scattering phenomena
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The Army Research Laboratory (ARL) has been developing ultra wideband (UWB), ultra wide angle radar technology to meet warfighter requirements to detect concealed targets (such as tactical vehicles under foliage). Experiments undertaken by ARL and others using testbed radar's (such as ARL's BoomSAR) have shown significant potential for detecting hidden targets. Initial evaluations have concentrated on identifying the 'contrast' ratios for desired targets versus average background. In more recent work, we have begun to evaluate specific angle, frequency, and/or polarization-based scattering properties of targets and clutter to isolate discrimination features for use in automatic target detection and cuing (ATD/C) algorithms (see reference 1). Though promising, much of this work has been ad hoc and based on small data sets that have only recently become available. To complement the measurements and analysis effort under way at ARL, our team is also developing high-fidelity electromagnetic models of targets and certain classes of clutter to gain a physics-based insight into robust discrimination techniques. We discuss recent analysis of both EM model results as well as a unique inverse synthetic aperture radar (ISAR) collection undertaken at Aberdeen Proving Ground (APG). By creating a phenomenological framework for explaining and/or describing target and/or clutter backscatter behavior and comparing it with measured field data, we can develop detection strategies inspired by the unique physics of low-frequency radar. Finally, we suggest one such detection paradigm.
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Jeffrey Sichina, Lam H. Nguyen, and Anders J. Sullivan "Using models and measurements to describe ultrawideband radar-scattering phenomena", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000);

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