30 April 2018 Position dependent frequency correlations for object identification in 3-dimensional signals of ultra-wideband radar
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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.
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Iris Paustian, Iris Paustian, Shawn M. Wilder, Shawn M. Wilder, "Position dependent frequency correlations for object identification in 3-dimensional signals of ultra-wideband radar", Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 106281E (30 April 2018); doi: 10.1117/12.2304481; https://doi.org/10.1117/12.2304481
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