Improvement in FSS-Based Sensor Sensitivity by Miniaturization Technique
Abstract
Frequency selective surfaces are a planar array of elements (or unit cells) that, when illuminated externally, have a frequency response that depends on element geometry and spacing, and the dielectric properties and thickness of the substrate. Thus, FSSs are good candidates for wireless sensing for numerous nondestructive testing applications. As sensitivity is an important sensing issue, detection sensitivity of FSS-based sensors can be improved by increasing the number of unit cells within a given (physical) space. This is a result of the fact that more unit cells will contribute to the frequency response within a given physical area (i.e., the illuminating footprint upon the sensor) in addition to smaller inter-element spacing (e.g., higher mutual coupling). Both of these aspects increase the sensitivity of the sensor to geometrical changes, and can be physically realized through implementation of FSS miniaturization techniques. To this end, in this work, two FSS-based sensors have been designed; one of which is the miniaturized version of the other. Measurement results indicate that the miniaturized FSS sensor is more sensitive to geometrical variations.
Recommended Citation
M. Mahmoodi and K. M. Donnell, "Improvement in FSS-Based Sensor Sensitivity by Miniaturization Technique," Proceedings of the 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (2019, Atlanta, GA), pp. 719 - 720, Institute of Electrical and Electronics Engineers (IEEE), Jul 2019.
The definitive version is available at https://doi.org/10.1109/APUSNCURSINRSM.2019.8888888
Meeting Name
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 (2019: Jul. 7-12, Atlanta, GA)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Frequency Selective Surface; FSS-Based Sensing; Miniaturization; Sensitivity Improvement
International Standard Book Number (ISBN)
978-172810692-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jul 2019
Comments
This work was partially supported by a National Aeronautics and Space Administration STTR Phase I (T12.01 Advanced Structural Health Monitoring) award.