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Conference Paper
Application of MUSIC to Microwave Imaging for Detection of Dielectric Anomalies
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- Authors
- Won-Kwang Park, Kwang-Jae Lee, Hwa Pyung Kim, Seong-Ho Son
- Issue Date
- 2017-05
- Citation
- Progress in Electromagnetics Research Symposium (PIERS) 2017 in St Petersburg, pp.1-5
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 Keywords
- At f, CST Studio, Dielectric anomalies, Infinite series, Mathematical representation, Microwave Imaging, Multiple signal classification (MUSIC) algorithm, Synthetic data, bessel functions, non-iterative, scattered field