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학술대회 Application of MUSIC to Microwave Imaging for Detection of Dielectric Anomalies
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저자
박원광, 이광재, 김화평, 손성호
발행일
201705
출처
Progress in Electromagnetics Research Symposium (PIERS) 2017 in St Petersburg, pp.1-5
DOI
https://dx.doi.org/10.1109/PIERS.2017.8262251
초록
We apply the non-iterative MUltiple SIgnal Classification (MUSIC) algorithm to identifying the locations/shapes of dielectric anomalies from collected scattered field S-parameters. By identifying the mathematical representation between MUSIC and an infinite series of Bessel functions of integer order of the first kind when the total number of antennas is small, we examine some properties of MUSIC in microwave imaging. Simulation results obtained from synthetic data at f = 1 GHz frequency using CST studio demonstrate the effectiveness and limitations of MUSIC.
KSP 제안 키워드
At f, Bessel function, CST Studio, Dielectric anomalies, Infinite series, Mathematical representation, Microwave Imaging, Multiple signal classification (MUSIC) algorithm, Non-iterative, Synthetic data, scattered field