A Multi-Frequency Tomographic Inverse Scattering Using Beam Basis Functions
We present an overview of a beam-based approach to ultra-wide band (UWB) tomographic inverse scattering, where beam-waves are used for local data-processing and local imaging, as an alternative to the conventional plane-wave and Green’s function approaches. Specifically, the method utilizes a phase–...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/4/1684 |
| _version_ | 1827652766041899008 |
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| author | Ram Tuvi |
| author_facet | Ram Tuvi |
| author_sort | Ram Tuvi |
| collection | DOAJ |
| description | We present an overview of a beam-based approach to ultra-wide band (UWB) tomographic inverse scattering, where beam-waves are used for local data-processing and local imaging, as an alternative to the conventional plane-wave and Green’s function approaches. Specifically, the method utilizes a phase–space set of iso-diffracting beam-waves that emerge from a discrete set of points and directions in the source domain. It is shown that with a proper choice of parameters, this set constitutes <i>a frame</i> (an overcomplete generalization of a basis), termed “beam frame”, over the entire propagation domain. An important feature of these beam frames is that they need to be calculated once and then used for all frequencies, hence the method can be implemented either in the multi-frequency domain (FD), or directly in the time domain (TD). The algorithm consists of two phases: in the processing phase, the scattering data is transformed to the beam domain using windowed phase–space transformations, while in the imaging phase, the beams are backpropagated to the target domain to form the image. The beam-domain data is not only localized and compressed, but it is also physically related to the local Radon transform (RT) of the scatterer via a local Snell’s reflection of the beam-waves. This expresses the imaging as an inverse local RT that can be applied to any local domain of interest (DoI). In previous publications, the emphasis has been set on TD data processing using a special class of localized space–time beam-waves (wave-packets). The goal of the present paper is to present the imaging scheme in the UWB FD, utilizing simpler Fourier-based data-processing tools in the space and time domains. |
| first_indexed | 2024-03-09T21:04:47Z |
| format | Article |
| id | doaj.art-0070520b3d8a4c4b9c29dbfc0aba4c04 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:04:47Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-0070520b3d8a4c4b9c29dbfc0aba4c042023-11-23T22:03:28ZengMDPI AGSensors1424-82202022-02-01224168410.3390/s22041684A Multi-Frequency Tomographic Inverse Scattering Using Beam Basis FunctionsRam Tuvi0John A. and Katherine G. Jackson School of Geosciences, Institute for Geophysics, The University of Texas at Austin, Austin, TX 78758, USAWe present an overview of a beam-based approach to ultra-wide band (UWB) tomographic inverse scattering, where beam-waves are used for local data-processing and local imaging, as an alternative to the conventional plane-wave and Green’s function approaches. Specifically, the method utilizes a phase–space set of iso-diffracting beam-waves that emerge from a discrete set of points and directions in the source domain. It is shown that with a proper choice of parameters, this set constitutes <i>a frame</i> (an overcomplete generalization of a basis), termed “beam frame”, over the entire propagation domain. An important feature of these beam frames is that they need to be calculated once and then used for all frequencies, hence the method can be implemented either in the multi-frequency domain (FD), or directly in the time domain (TD). The algorithm consists of two phases: in the processing phase, the scattering data is transformed to the beam domain using windowed phase–space transformations, while in the imaging phase, the beams are backpropagated to the target domain to form the image. The beam-domain data is not only localized and compressed, but it is also physically related to the local Radon transform (RT) of the scatterer via a local Snell’s reflection of the beam-waves. This expresses the imaging as an inverse local RT that can be applied to any local domain of interest (DoI). In previous publications, the emphasis has been set on TD data processing using a special class of localized space–time beam-waves (wave-packets). The goal of the present paper is to present the imaging scheme in the UWB FD, utilizing simpler Fourier-based data-processing tools in the space and time domains.https://www.mdpi.com/1424-8220/22/4/1684inverse scatteringimagingwave propagationbeam summation methods |
| spellingShingle | Ram Tuvi A Multi-Frequency Tomographic Inverse Scattering Using Beam Basis Functions Sensors inverse scattering imaging wave propagation beam summation methods |
| title | A Multi-Frequency Tomographic Inverse Scattering Using Beam Basis Functions |
| title_full | A Multi-Frequency Tomographic Inverse Scattering Using Beam Basis Functions |
| title_fullStr | A Multi-Frequency Tomographic Inverse Scattering Using Beam Basis Functions |
| title_full_unstemmed | A Multi-Frequency Tomographic Inverse Scattering Using Beam Basis Functions |
| title_short | A Multi-Frequency Tomographic Inverse Scattering Using Beam Basis Functions |
| title_sort | multi frequency tomographic inverse scattering using beam basis functions |
| topic | inverse scattering imaging wave propagation beam summation methods |
| url | https://www.mdpi.com/1424-8220/22/4/1684 |
| work_keys_str_mv | AT ramtuvi amultifrequencytomographicinversescatteringusingbeambasisfunctions AT ramtuvi multifrequencytomographicinversescatteringusingbeambasisfunctions |