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Spatial field intensity shaping via optimized multi target time reversal
- Source :
- info:cnr-pdr/source/autori:Bellizzi, Gennaro G.; Crocco, Lorenzo; Isemia, Tommaso/congresso_nome:017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017/congresso_luogo:/congresso_data:19-26%2F8%2F2018/anno:2017/pagina_da:1/pagina_a:3/intervallo_pagine:1–3
- Publication Year :
- 2017
-
Abstract
- Generating a given field intensity distribution in a non homogeneous scenario is a problem of interest in many applications. Due to the challenging nature of the problem, very few approaches have been presented so far, and none of them has fully addressed all the pertaining issues yet. In this communication we present an innovative and relatively simple shaping approach that relies on an optimized version of the well know time reversal method, named Optimized multi target Time Reversal. To appraise the performances of the proposed approach, a numerical assessment and a comparison with a recent and related shaping procedure available in the literature is reported.
- Subjects :
- focusing
Field intensity
business.industry
Computer science
020206 networking & telecommunications
Numerical assessment
02 engineering and technology
Microwave transmission
hyperthermia
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Multi target
Optics
Simple (abstract algebra)
Non homogeneous
0202 electrical engineering, electronic engineering, information engineering
business
Algorithm
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- info:cnr-pdr/source/autori:Bellizzi, Gennaro G.; Crocco, Lorenzo; Isemia, Tommaso/congresso_nome:017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017/congresso_luogo:/congresso_data:19-26%2F8%2F2018/anno:2017/pagina_da:1/pagina_a:3/intervallo_pagine:1–3
- Accession number :
- edsair.doi.dedup.....6f702e586661c000697b87b7236ca69e
- Full Text :
- https://doi.org/10.23919/URSIGASS.2017.8105099