On the Use of Spherical Harmonics in Sparse Microwave Imaging
Autor: | Lorenzo Crocco, Marija Nikolic Stevanovic, Nebojsa Vojnovic |
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Rok vydání: | 2020 |
Předmět: |
Offset (computer science)
Analytical expressions Computer science 020208 electrical & electronic engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Spherical harmonics 020206 networking & telecommunications 02 engineering and technology sprase processing 3D microwave imaging Microwave imaging 0202 electrical engineering electronic engineering information engineering multipole expansion Multipole expansion Algorithm ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | 14th European Conference on Antennas and Propagation, EuCAP 2020, Copenhagen, 15-20/3/2020 info:cnr-pdr/source/autori:Vojnovic, Nebojsa; Stevanovic, Marija Nikolic; Crocco, Lorenzo/congresso_nome:14th European Conference on Antennas and Propagation, EuCAP 2020/congresso_luogo:Copenhagen/congresso_data:15-20%2F3%2F2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine |
DOI: | 10.23919/eucap48036.2020.9136023 |
Popis: | In this paper, we introduce a novel microwave imaging method using spherical harmonics and the sparse processing. As the sources of the spherical harmonics, we use the multipoles of different order. Based on theoretical considerations and as shown by numerical examples this approach is capable of retrieving concave shapes, which is particularly interesting when imaging complex-shaped targets. In this paper, we limit ourselves to the utilization of the multipoles parallel to the z-axis. We implement rigorous analytical expressions describing the first three multipole orders to improve the method's accuracy. As a test bed we analyze a centered and an offset star-shaped object in the presence of noise. For such a meaningful case, satisfying results have been obtained. |
Databáze: | OpenAIRE |
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