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Proceedings Paper

Entropy formulations for signal reconstruction from sensor arrays
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Paper Abstract

Correlative interferometric imaging from sensor arrays relies on reconstructing source intensity by using the cross-correlation across near-field or far-field measurements from multiple sensor elements. Often the reconstruction problem is ill-posed resulting in unrealistic reconstructions of signals and images. This paper examines the consequences of using extremal entropy metrics in the reconstruction. These range from inducing sparsity to the closer conformance of the reconstruction boundaries to the support of the actual signal source. Situations involving far-field interferometric imaging of extended sources are considered and experimental results are provided.

Paper Details

Date Published: 21 May 2014
PDF: 8 pages
Proc. SPIE 9103, Wireless Sensing, Localization, and Processing IX, 91030I (21 May 2014); doi: 10.1117/12.2062937
Show Author Affiliations
Raghuveer M. Rao, U.S. Army Research Lab. (United States)
Prudhvi Gurram, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 9103:
Wireless Sensing, Localization, and Processing IX
Sohail A. Dianat; Michael David Zoltowski, Editor(s)

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