Direct Sampling Method to Retrieve Small Objects from Two-Dimensional Limited-Aperture Scattered Field Data

Won-Kwang Park ()
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Won-Kwang Park: Department of Information Security, Cryptology, and Mathematics, Kookmin University, Seoul 02707, Republic of Korea

Mathematics, 2025, vol. 13, issue 18, 1-21

Abstract: In this study, we investigate the application of the direct sampling method (DSM) to identify small dielectric objects in a limited-aperture inverse scattering problem. Unlike previous studies, we consider the bistatic measurement configuration corresponding to the transmitter location and design indicator functions for both a single source and multiple sources, and we convert the unknown measurement data to a fixed nonzero constant. To explain the applicability and limitation of object detection, we demonstrate that the indicator functions can be expressed by an infinite series of Bessel functions, the material properties of the objects, the bistatic angle, and the converted constant. Based on the theoretical results, we explain how the imaging performance of the DSM is influenced by the bistatic angle and the converted constant. In addition, the results of our analyses demonstrate that a smaller bistatic angle enhances the imaging accuracy and that optimal selection of the converted constant is crucial to realize reliable object detection. The results of the numerical simulations obtained using a two-dimensional Fresnel dataset validate the theoretical findings and illustrate the effectiveness and limitations of the designed indicator functions for small objects.

Keywords: direct sampling method; bistatic angle; limited-aperture inverse scattering problem; numerical simulation results; fresnel dataset (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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