Through-the-Wall Nonlinear SAR Imaging

An inverse scattering problem (ISP) for synthetic aperture radar (SAR) data in application to through-the-wall imaging is addressed. In contrast with the conventional algorithms of SAR imaging, which work linearized mathematical model based on Born approximation, fully nonlinear case considered here. To avoid local minima problem, so-called “convexification” globally convergent inversion scheme applied approximate distribution slant range (SR) plane a function that associated dielectric constant. It demonstrated this estimates quite well both value constant and location target. The benchmark scene article comprises homogeneous wall different targets hidden behind it. results comprise 2-D images SR interest. Numerical are obtained by proposed method computationally simulated experimental data. Our show values, cross-range sizes, locations constants close those real targets. comparison solution ISP provided commonly used shows significantly better accuracy our results.