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Proceedings Paper

Model-based beam control for illumination of remote objects, part I: theory and near real-time feasibility
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Paper Abstract

On September 1, 2003, Nukove Scientific Consulting, together with partner New Mexico State University (NMSU), began work on a Phase I Small Business Technology TRansfer (STTR) grant from the Air Force Office of Scientific Research (AFOSR). The purpose of the grant was to show the feasibility of taking Nukove's pointing estimation technique from a post-processing tool for estimation of laser system characteristics to a real-time tool usable in the field. Nukove's techniques for pointing, shape, and OCS estimation do not require an imaging sensor nor a target board, thus estimates may be made very quickly. To prove feasibility, Nukove developed an analysis tool RHINO (Real-time Histogram Interpretation of Numerical Observations) and successfully demonstrated the emulation of real-time, frame-by-frame estimation of laser system charcteristics, with data streamed into the tool and the estimates displayed as they are made. The eventual objective will be to use the frame-by-frame estimates to allow for feedback to a fielded system. Closely associated with this, NMSU has developed a laboratory testbed to illuminate test objects, collect the received photons, and stream the data into RHINO. The two coupled efforts clearly demonstrate the feasibility of real-time pointing control of a laser system.

Paper Details

Date Published: 18 October 2004
PDF: 9 pages
Proc. SPIE 5552, Target-in-the-Loop: Atmospheric Tracking, Imaging, and Compensation, (18 October 2004); doi: 10.1117/12.558742
Show Author Affiliations
Susan M. Chandler, Nukove Scientific Consulting, LLC (United States)
Gordon W. Lukesh, Nukove Scientific Consulting, LLC (United States)
David Voelz, New Mexico State Univ. (United States)
Santasri Basu, New Mexico State Univ. (United States)
Jon Sjogren, Air Force Office of Scientific Research (United States)


Published in SPIE Proceedings Vol. 5552:
Target-in-the-Loop: Atmospheric Tracking, Imaging, and Compensation
Michael T. Valley; Mikhail A. Vorontsov, Editor(s)

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