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학술지 MUSIC Algorithm for Location Searching of Dielectric Anomalies from S-parameters using Microwave Imaging
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저자
박원광, 김화평, 이광재, 손성호
발행일
201711
출처
Journal of Computational Physics, v.348, pp.259-270
ISSN
0021-9991
출판사
Elsevier
DOI
https://dx.doi.org/10.1016/j.jcp.2017.07.035
협약과제
17ZR1400, 전파 치료를 위한 정밀조사 알고리즘 연구, 손성호
초록
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.
키워드
Bessel function, Experimental results, Microwave imaging, Multi-Static Response (MSR) matrix, MUltiple SIgnal Classification (MUSIC), S-parameters
KSP 제안 키워드
Bessel function, Biomedical engineering, Born approximation, Breast Cancer(BC), Breast cancer detection, Dielectric anomalies, Dipole antenna, Early stages, Functional Imaging, Microwave Imaging, Multi-static response (MSR) matrix