Determination of Electrical and Geometrical Characteristics of Mine-Like and IED-Like Targets Using New Globally Convergent Inverse Algorithms
Abstract
In this project, the truly revolutionary convexification inversion method has been applied to numerically solve Coefficient Inverse Problems (CIPs) for both experimentally collected microwave data and the computationally simulated data. The experimental data were collected by both ARL and the microwave laboratory. Direct applications to standoff detection and identification of antipersonnel land mines and improvised explosive devices were addressed for both computationally simulated and the above mentioned experimental data. Direct applications to the problem of standoff inspections of buildings was addressed for experimental data of ARL. The collaboration with ARL has resulted in the Convexification Based Nonlinear SAR Imaging (CONSAR). CONSAR has demonstrated a very good performance on experimental data, in particular in the problem of standoff inspections of buildings. A globally convergent numerical method was developed for the Coefficient Inverse Problem of Electrical Impedance Tomography.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 15, 2022
- Accession Number
- AD1197253
Entities
People
- Michael Klibanov
Organizations
- University of North Carolina at Charlotte