Entropy Formulations For Signal Reconstruction From Sensor Arrays

摘要

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.