Microwave Imaging of Electrical Wires With MUSIC Algorithm

Microwave imaging of electrical wires with multiple signal classification (MUSIC) algorithm is considered. The motivation arises from safety/security applications where concealed electrical wires are required to be remotely sensed in a quasi-real-time setting. The algorithm is first reanalyzed in terms of scattering parameters to better incorporate experimental microwave measurements. Later, a simple strategy, where the spectral cutoff is selected based on the expected signal-to-noise level, is introduced to enhance imaging capabilities. The reformulated algorithm is experimentally verified with limited aperture measurements performed with an antenna array in a nonanechoic environment. The results demonstrate that the algorithm can rapidly reconstruct images that clearly reveal geometrical features of electrical wires.

[1]  Natalia K. Nikolova Introduction to Microwave Imaging: Contents , 2017 .

[2]  Hongkai Zhao,et al.  A direct imaging algorithm for extended targets , 2006 .

[3]  Sverre Holm,et al.  Time-reversal multiple signal classification in case of noise: a phase-coherent approach. , 2011, The Journal of the Acoustical Society of America.

[4]  J. Devaney,et al.  1 Super-resolution Processing of Multi-static Data Using Time Reversal and MUSIC A , 2000 .

[5]  A.J. Devaney Time reversal imaging of obscured targets from multistatic data , 2005, IEEE Transactions on Antennas and Propagation.

[6]  Hyun-Kyo Jung,et al.  Range-Cell-Focusing Algorithm Combined With Enhanced MUSIC for Close Target Imaging , 2016, IEEE Geoscience and Remote Sensing Letters.

[7]  Seong-Ho Son,et al.  MUSIC algorithm for location searching of dielectric anomalies from S-parameters using microwave imaging , 2017, J. Comput. Phys..

[8]  Xudong Chen,et al.  MUSIC electromagnetic imaging with enhanced resolution for small inclusions , 2009 .

[9]  Margaret Cheney,et al.  The Linear Sampling Method and the MUSIC Algorithm , 2001 .

[10]  Ibrahim Akduman,et al.  Qualitative Microwave Imaging With Scattering Parameters Measurements , 2015, IEEE Transactions on Microwave Theory and Techniques.

[11]  M. Abbak,et al.  Experimental Microwave Imaging With a Novel Corrugated Vivaldi Antenna , 2017, IEEE Transactions on Antennas and Propagation.

[12]  M. Moghaddam,et al.  Vector Green's function for S-parameter measurements of the electromagnetic volume integral equation , 2011, IEEE Transactions on Antennas and Propagation.

[13]  Gangyao Kuang,et al.  Imaging of Downward-Looking Linear Array Three-Dimensional SAR Based on FFT-MUSIC , 2015, IEEE Geoscience and Remote Sensing Letters.

[14]  Anthony J. Devaney,et al.  Time-reversal-based imaging and inverse scattering of multiply scattering point targets , 2005 .