Design of a Compact V-Band Transceiver and Antenna for Millimeter-Wave Imaging Systems
Abstract
In this paper, we introduce a synthetic aperture radar (SAR)-based millimeter-wave imaging system for high-resolution imaging of human skin, in addition to traditional nondestructive testing applications. The imaging system, which operates in the 58-64-GHz frequency range, forms the basic building block of a future millimeter-wave camera suitable for imaging burned skin and skin cancers. The system is composed of a coherent transceiver and two antennas, principally enabling a quasi-monostatic measurement configuration. The designed antenna is an antipodal Vivaldi antenna with 5.0-8.0-dB gain and half-power beamwidths of 79.0° and 76.0°in its E-and H-planes, respectively. The transceiver is designed using a complete system-on-chip transmitter and receiver capable of I/Q detection. The fully designed imaging system has 47 dB of dynamic range and is phase-calibrated using a robust wideband calibration procedure based on single-frequency SAR imaging approach. Examples of images produced with this system include burned pigskin skin and a small balsa wood panel with four small embedded rubber pieces.
Recommended Citation
M. J. Horst et al., "Design of a Compact V-Band Transceiver and Antenna for Millimeter-Wave Imaging Systems," IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 11, pp. 4400 - 4411, Institute of Electrical and Electronics Engineers (IEEE), Nov 2019.
The definitive version is available at https://doi.org/10.1109/TIM.2018.2886938
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Antipodal Vivaldi Antenna (AVA); Millimeter-Wave Imaging; Nondestructive Testing (NDT); Synthetic Aperture Radar (SAR) Imaging; Transceiver
International Standard Serial Number (ISSN)
0018-9456; 1557-9662
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Nov 2019
Comments
This work was supported in part by the National Science Foundation Graduate Research Fellowship Program under Grant 1011744 and in part by the 2016 University of Missouri System Fast Track Initiative.