Experimental comparison of qualitative inverse scattering methods

Qualitative inverse scattering theory offers a group of highly theoretical methods that aims to extract physical properties of inaccessible targets. Although there are various methods depending on quite different principles which can be ultimately classified as qualitative inverse scattering methods, such methods share some common characteristics. In general, these methods are only capable of determining the shape of imaged objects and do not provide any information about electrical properties. Compared to nonlinear optimization methods, they have a simple and stable nature which offers many advantages, such as easy implementation and requiring less computational resources. In this work, we compare the performances of two well known qualitative inverse scattering algorithms which are linear sampling (LSM) and factorization methods (FM). For this purpose, we setup experimental configurations inside an anechoic chamber and investigate the performances of these methods by means of scattered field measurements. Our results indicate that both methods have quite similar reconstructions.