Abstract
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.
Original language | English |
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Article number | 8573803 |
Pages (from-to) | 707-711 |
Number of pages | 5 |
Journal | IEEE Geoscience and Remote Sensing Letters |
Volume | 16 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2019 |
Bibliographical note
Publisher Copyright:© 2004-2012 IEEE.
Keywords
- Microwave imaging
- multiple signal classification (MUSIC)