Convexification Inversion Method for Nonlinear SAR Imaging with Experimentally Collected Data

This paper is concerned with the study of a version globally convergent convexification method direct application to synthetic aperture radar (SAR) imaging. Results numerical testing are presented for experimentally collected data fake landmine. The SAR imaging technique common tool used create maps parts surface Earth or other planets. Recently, it has been applied in context noninvasive inspections buildings military and civilian services. Nowadays, any software based on Born approximation which linearization original wave-like partial differential equation. One essential assumptions this procedure needs that only those dielectric constants imaged whose values close constant background. In work, we propose radically new idea: work without while still using same as conventional uses. We construct 2D image function number 1D images obtained via solving coefficient inverse problem (CIP) hyperbolic Different from our previous studies concentration global convergence gradient projection method, time prove descent easier implement numerically.