MUSIC algorithm for location searching of dielectric anomalies from S-parameters using microwave imaging
| Autor: | Won-Kwang Park, Hwa Pyung Kim, Seong-Ho Son, Kwang-Jae Lee |
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| Rok vydání: | 2017 |
| Předmět: |
Numerical Analysis
Physics and Astronomy (miscellaneous) Relation (database) Applied Mathematics Speech recognition 010103 numerical & computational mathematics 01 natural sciences Computer Science Applications law.invention 010101 applied mathematics Computational Mathematics Singular value Matrix (mathematics) Microwave imaging Factorization law Modeling and Simulation Dipole antenna 0101 mathematics Anomaly (physics) Born approximation Algorithm Mathematics |
| Zdroj: | Journal of Computational Physics. 348:259-270 |
| ISSN: | 0021-9991 |
| Popis: | Motivated by the biomedical engineering used in early-stage breast cancer detection, we investigated the use of MUltiple SIgnal Classification (MUSIC) algorithm for location searching of small anomalies using S-parameters. We considered the application of MUSIC to functional imaging where a small number of dipole antennas are used. Our approach is based on the application of Born approximation or physical factorization. We analyzed cases in which the anomaly is respectively small and large in relation to the wavelength, and the structure of the left-singular vectors is linked to the nonzero singular values of a Multi-Static Response (MSR) matrix whose elements are the S-parameters. Using simulations, we demonstrated the strengths and weaknesses of the MUSIC algorithm in detecting both small and extended anomalies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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