상세정보
학술대회
Application of MUSIC to Microwave Imaging for Detection of Dielectric Anomalies
- 발행일
- 201705
- 출처
- Progress in Electromagnetics Research Symposium (PIERS) 2017 in St Petersburg, pp.1-5
- 협약과제
- 17ZR1400, 전파 치료를 위한 정밀조사 알고리즘 연구, 손성호
- 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