Paper
17 May 2006 Radar signals dismount data production
Author Affiliations +
Abstract
It has recently become apparent that dismount tracking from non-EO based sources will have a large positive impact on urban operations. EO / camera imaging is subject to line of site and weather conditions which makes it a non-robust source for dismount tracking. Other sensors exist (e.g. radar) to track dismount targets; however, little radar dismount data exists. This paper examines the capability to generate synthetic and measured dismount data sets for radar frequency (RF) processing. For synthetic data, we used the PoserTM program to generate 500 facet models of human dismount walking. Then we used these facet models with Xpatch to generate synthetic wideband radar data. For measured dismount data, we used a multimode (X-Band and Ku-Band) radar system to collect RF data of volunteer human (dismount) targets.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Uttam Majumder, Michael Minardi, Erik Blasch, LeRoy Gorham, Kiranmai Naidu, Thomas Lewis, and Robert Williams "Radar signals dismount data production", Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 623704 (17 May 2006); https://doi.org/10.1117/12.666163
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Radar

Sensors

Data modeling

Synthetic aperture radar

Ku band

Algorithm development

Cameras

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