A new globally convergent numerical method is developed for a 1-D coefficient inverse problem for a hyperbolic partial differential equation (PDE). The back reflected data are used. A version of the quasi-reversibility method is proposed. A global convergence theorem is proven via a Carleman estimate. The results of numerical experiments are presented.
IntroductionIn this article, a new globally convergent numerical method for a one-dimensional (1-D) coefficient inverse problem (CIP) for a hyperbolic partial differential equation (PDE) is presented. We modify here the idea of [1] for our case (also, see follow-up publications [2][3][4]). This CIP has applications in acoustics and electromagnetics. More specifically, we consider here an application to the problem of imaging of antipersonnel plastic land mines. It is well known that plastic land mines are hard to detect by ground penetrating radars, because they do not have a significant metal component in them. So, our idea is to image the spatial distribution of the relative dielectric constant in them. A similar idea was carried out in [5] by the globally convergent numerical method of the first generation, the so-called convexification algorithm [6]. However, [1] represents the second generation of such methods.We point out that the 1-D problem is considered here only as a preliminary step before applying similar ideas to 2-D and 3-D cases. In other words, the goal of this article is to develop a methodology for our future studies of 2-D and 3-D problems.