Direct sampling method for retrieving small perfectly conducting cracks
For inverse scattering problems, this work provides a theoretical foundation and practical improvements for detecting small cracks, though it is an incremental extension of existing direct sampling methods.
The paper proposes a direct sampling method to locate small perfectly conducting cracks from far-field data, proving its indicator function relates to Bessel functions and crack lengths. Numerical simulations show performance depends on crack length and rotation, and improvements using multi-directional and multi-frequency incident fields are demonstrated.
In this paper, direct sampling method is considered for determining the location of a set of small, linear perfectly conducting cracks from the collected far-field data corresponding to an incident field. To show the feasibility of the direct sampling method, this study proves that the indicator function of the direct sampling method can be represented by the Bessel function of order zero and the crack lengths. The results of the numerical simulations are shown to support the fact that the imaging performance is highly dependent on the crack lengths. To explain the fact that the imaging performance is highly dependent on the rotation of the cracks, the direct sampling method is further analyzed by establishing a representation using Bessel functions of orders zero and one. Based on the derived representation of indicator function, we design improved direct sampling methods by applying incident fields with multiple directions and multiple frequencies. Corresponding analysis of indicator functions and simulation results are shown for demonstrating the effectiveness and improvements.