Three-dimensional intra-wall characterization with linear inverse scattering algorithm

In this paper, the three-dimensional (3D) intra-wall inspection is cast as a subsurface imaging problem. The region between the front and back boundaries of the wall is imaged using a novel linear inverse scattering algorithm for 3D subsurface imaging. The imaging algorithm is based on first order Born approximation and exploits the halfspace Green's function. The exploding source model is employed and then the Green's function is expanded in the spectrum domain to formulate the 3D intra-wall imaging algorithm. The linearization of the inversion scheme and the employment of FFT/IFFT in the imaging formula make the imaging algorithm suitable for several applications pertaining to the diagnostics of large probed domain and allow real-time processing. A numerical result is presented to show the effectiveness and efficiency of the proposed linear inverse scattering algorithm for 3D intra-wall characterization.