An Adaptive Monostatic Inverse Scattering Approach using Virtual Multistatic Geometries

In this work we consider a qualitative inverse scattering approach suitable for synthetic aperture radar (SAR) based on a minimum variance distortionless response (MVDR) framework. As discussed in the paper, the derived MVDR approach closely resembles another well established qualitative imaging technique known as the Linear Sampling Method (LSM). As we discuss, both techniques require a significant amount of multistatic diversity for satisfactory imaging performance and are generally unsuitable for monostatic geometries. To address this major drawback, we propose a technique for constructing virtual multistatic data from wide-band monostatic data based on exploiting spatial frequency redundancy. Examples of the proposed imaging algorithm using simulated monostatic data are presented.