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(Ed.)
The ubiquity of millimeter-wave (mmWave) technology in 5G-and-beyond devices enable opportunities to bring through-obstruction imaging in hand-held, ad-hoc settings. This imaging technique will require manually scanning the scene to emulate a Synthetic Aperture Radar (SAR) [4] and measure back-scattered signals. Appropriate signal focusing can reveal hidden items and can be used to detect and classify shapes automatically. Such hidden object detection and classification could enable multiple applications, such as in-situ security check without pat-down search, baggage discrimination without opening the baggage, packaged inventory item counting without intrusions, etc.
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