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Position dependent frequency correlations for object identification in 3-dimensional signals of ultra-wideband radar
Author(s): Iris Paustian; Shawn M. Wilder
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Paper Abstract

This article discusses a method to identify targets in the raw data collected by a 2-dimensional radar array. A series of target simulations, in frequency space, are correlated against experimental data and these correlations are used to identify the target in the different data snippets. In each case, the target whose simulation correlates most strongly with the experimental data positively identifies the target in the data. We furthermore find that the two strongest cross-correlations between any particular experimental data sample and all target simulations has a 42% mean difference across all experimental data. From this exploratory study we conclude that this approach positively identifies all targets in our data set but that a more thorough study is necessary to determine its robustness.

Paper Details

Date Published: 30 April 2018
PDF: 7 pages
Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 106281E (30 April 2018); doi: 10.1117/12.2304481
Show Author Affiliations
Iris Paustian, Naval Surface Warfare Ctr. Panama City Div. (United States)
Shawn M. Wilder, Naval Surface Warfare Ctr. Panama City Div. (United States)


Published in SPIE Proceedings Vol. 10628:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII
Steven S. Bishop; Jason C. Isaacs, Editor(s)

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