MUSIC algorithm for location searching of dielectric anomalies from S-parameters using microwave imaging

Park, Won-Kwang; Kim, Hwa Pyung; Lee, Kwang-Jae

doi:10.1016/j.jcp.2017.07.035

Cited by 29 publications

(14 citation statements)

References 41 publications

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“…Furthermore, this is a considerably effective and stable algorithm. In a recent study [10], the MUSIC algorithm was designed for imaging small and extended anomalies; however, DSM has not yet been designed and used to identify unknown anomalies from measured S−parameter data.…”

Section: Introductionmentioning

confidence: 99%

Direct sampling method for anomaly imaging from scattering parameter

Park

2018

Applied Mathematics Letters

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In this paper, we develop a fast imaging technique for small anomalies located in homogeneous media from S−parameter data measured at dipole antennas. Based on the representation of S−parameters when an anomaly exists, we design a direct sampling method (DSM) for imaging an anomaly and establishing a relationship between the indicator function of DSM and an infinite series of Bessel functions of integer order. Simulation results using synthetic data at f = 1GHz of angular frequency are illustrated to support the identified structure of the indicator function.

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Section: Introductionmentioning

confidence: 99%

Direct sampling method for anomaly imaging from scattering parameter

Park

2018

Applied Mathematics Letters

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“…Every elements of scattering matries and were generated through the CST STUDIO SUITE with simulation configuration, refer to Figure 1. Figures 2 and 3 show the distribution of singular values of and , respectively, and map of (see [13] also). If one uses for imaging, 5 left-singular vectors must be adopted for generating projection operator because the diagonal elements are affected by the anomaly and antennas.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Among them, MUSIC algorithm has shown its feasibilities of imaging performance. Related works can be found in [5][6][7][8][9][10][11][12][13][14] and references therein. Notice that most of researches assumed that diagonal elements of scattering matrix are dependent on the existence of anomaly and independent of the dipole antennas.…”

Section: Introductionmentioning

confidence: 99%

MUSIC Algorithm Without Diagonal Elements of Scattering Matrix

Park¹

2019

8th International Conference on Advances in Computing, Electronics and Communication - ACEC

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It is well-known that diagonal elements of scattering matrix are significantly affected by not only the anomaly but also the antennas. Due to this reason, if one applies MUltiple SIgnal Classification (MUSIC) algorithm for imaging anomaly, several artifacts are also included. In this contribution, we apply MUSIC algorithm by eliminating diagonal elements of scattering matrix and examine that the result is better than the traditional one.

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“…Furthermore, the extension to inverse elasticity problems will be an interesting Advances in Mathematical Physics subject. Finally, extension to the three-dimensional [23,24] and real-world problem [25,26] will be a remarkable research topic.…”

Section: Resultsmentioning

confidence: 99%

Topological Derivative for Imaging of Thin Electromagnetic Inhomogeneity: Least Condition of Incident Directions

Park

2018

Advances in Mathematical Physics

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It is well-known that using topological derivative is an effective noniterative technique for imaging of crack-like electromagnetic inhomogeneity with small thickness when small number of incident directions are applied. However, there is no theoretical investigation about the configuration of the range of incident directions. In this paper, we carefully explore the mathematical structure of topological derivative imaging functional by establishing a relationship with an infinite series of Bessel functions of integer order of the first kind. Based on this, we identify the condition of the range of incident directions and it is highly depending on the shape of unknown defect. Results of numerical simulations with noisy data support our identification.

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MUSIC algorithm for location searching of dielectric anomalies from S-parameters using microwave imaging

Cited by 29 publications

References 41 publications

Direct sampling method for anomaly imaging from scattering parameter

Direct sampling method for anomaly imaging from scattering parameter

MUSIC Algorithm Without Diagonal Elements of Scattering Matrix

Topological Derivative for Imaging of Thin Electromagnetic Inhomogeneity: Least Condition of Incident Directions

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