Inversion of limited-aperture Fresnel experimental data using orthogonality sampling method with single and multiple sources
<|reference_start|>Inversion of limited-aperture Fresnel experimental data using orthogonality sampling method with single and multiple sources: In this study, we consider the application of orthogonality sampling method (OSM) with single and multiple sources for a fast identification of small objects in limited-aperture inverse scattering problem. We first apply the OSM with single source and show that the indicator function with single source can be expressed by the Bessel function of order zero of the first kind, infinite series of Bessel function of nonzero integer order of the first kind, range of signal receiver, and the location of emitter. Based on this result, we explain that the objects can be identified through the OSM with single source but the identification is significantly influenced by the location of source and applied frequency. For a successful improvement, we then consider the OSM with multiple sources. Based on the identified structure of the OSM with single source, we design an indicator function of the OSM with multiple sources and show that it can be expressed by the square of the Bessel function of order zero of the first kind an infinite series of the square of Bessel function of nonzero integer order of the first kind. Based on the theoretical results, we explain that the objects can be identified uniquely through the designed OSM. Several numerical experiments with experimental data provided by the Institute Fresnel demonstrate the pros and cons of the OSM with single source and how the designed OSM with multiple sources behave.<|reference_end|>
@article{park2024inversion,
    title={Inversion of limited-aperture Fresnel experimental data using
  orthogonality sampling method with single and multiple sources},
    author={Won-Kwang Park},
    journal={arXiv preprint arXiv:2402.09740},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.09740},
    primaryClass={math.NA cs.NA}
}