Entropy formulations for signal reconstruction from sensor arrays

Raghuveer M. Rao; Prudhvi Gurram

doi:10.1117/12.2062937

21 May 2014 Entropy formulations for signal reconstruction from sensor arrays

Raghuveer M. Rao, Prudhvi Gurram

Proceedings Volume 9103, Wireless Sensing, Localization, and Processing IX; 91030I (2014) https://doi.org/10.1117/12.2062937
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Raghuveer M. Rao and Prudhvi Gurram "Entropy formulations for signal reconstruction from sensor arrays", Proc. SPIE 9103, Wireless Sensing, Localization, and Processing IX, 91030I (21 May 2014); https://doi.org/10.1117/12.2062937

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