Distributed RF Systems for Close-In Sensing and Imaging
Abstract
The goal of this research is to improve close-in sensing and imaging applications through a new formulation of RF tomography, which is considered because of its flexibility and advantages when dealing with distributed sensors. This research is motivated by the removal of some limitations in the current formulation of RF tomography. One limitation is the first order Born approximation that is physically equivalent to neglecting multiple scattering phenomena. This limitation is overcome with the quadratic forward model. A second limitation is associated with the contrast function, which represents the unknown quantity to be reconstructed. In fact, while the initial formulations of RF Tomography have been based upon a scalar contrast function, it is possible to extract more information by using a dyadic contrast function, which takes advantage of the vector nature of both the incident and scattered electromagnetic field. A third limitation is the current existing inversion algorithms that do not allow for the introduction of prior knowledge to compute the solution of imaging problems, which is overcome with the introduction of physical bounds into iterative solution methods.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2016
- Accession Number
- AD1006928
Entities
People
- Danilo Erricolo
Organizations
- University of Illinois at Chicago