دورية أكاديمية
Extraction of weak target features from radar tomographic imagery
| العنوان: | Extraction of weak target features from radar tomographic imagery |
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| المؤلفون: | Almutiry, Muhannad Salem S. |
| المصدر: | Graduate Theses and Dissertations |
| بيانات النشر: | eCommons |
| سنة النشر: | 2016 |
| المجموعة: | University of Dayton: eCommons |
| مصطلحات موضوعية: | Tomography Image quality, Synthetic aperture radar, Microwave imaging, Ground penetrating radar, Electrical Engineering, Born Approximation, Radar imaging, Radio frequency tomography |
| الوصف: | Radio Frequency (RF) Tomography is a mathematical process of 3D image reconstruction from a measurement using a multistatic distribution of transmitters and receivers. The geometric diversity of these elements increases the information in the measurements. The process of determining the permittivity and conductivity profile in the measurement domain, and, therefore, the shape of the target, from the scattered field measurements, is an inverse problem. To solve this problem, under conventional methods such as the Born approximation, we use the principles of linear scattering to determine a linear relationship between measured returns and target shape. The Born approximation is valid if the scatterer is small and does not interact strongly with other objects. However, strong scatterers within the domain may generate sidelobes masking weaker returns. This masking, in conjunction with multipath effects, may result in loss of features and subsequent failure to identify a target. In this research, a novel method is proposed to increase overall image quality and extend the capabilities of RF tomography by modeling the strong scatterers in the measurement domain as dipoles that behave as secondary sources (transmitters). Unlike conventional methods, the dipole model reduces the effects of the sidelobes from the strong scatterers and exploits the multipath of multiple targets or complex shapes. The multipath phenomena contains more information about the targets permitting illumination in the shadowed region and an increase to the radar aperture length. The electromagnetic characteristics for each modeled dipole are estimated by representing the cells in the measurement domain's image. The eigenvalue and eigenvector from each cell represent the phase and magnitude for the modeled dipole and also the spatial orientation of the target. The process of modeling large scatterers as dipoles can be iterated, addressing one strong scatterer at a time. This method effectively suppresses the sidelobes and exploits the multipath ... |
| نوع الوثيقة: | text |
| اللغة: | unknown |
| ردمك: | 978-1-4701-5467-7 1-4701-5467-6 |
| العلاقة: | https://ecommons.udayton.edu/graduate_theses/1165Test; http://rave.ohiolink.edu/etdc/view?acc_num=dayton1470154676Test |
| الإتاحة: | https://ecommons.udayton.edu/graduate_theses/1165Test http://rave.ohiolink.edu/etdc/view?acc_num=dayton1470154676Test |
| حقوق: | Copyright © 2016, author |
| رقم الانضمام: | edsbas.4E5FB53E |
| قاعدة البيانات: | BASE |
| ردمك: | 9781470154677 1470154676 |
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