A portable K-band (24 GHz) 3-D millimeter wave imaging system for detecting and dimensioning hidden objects

Daniel Arnitz; Claire M. Watts; Andreas Pedross-Engel; Matthew S. Reynolds

doi:10.1117/12.2619122

3 June 2022 A portable K-band (24 GHz) 3-D millimeter wave imaging system for detecting and dimensioning hidden objects

Daniel Arnitz, Claire M. Watts, Andreas Pedross-Engel, Matthew S. Reynolds

Proceedings Volume 12111, Passive and Active Millimeter-Wave Imaging XXV; 1211108 (2022) https://doi.org/10.1117/12.2619122
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

We present a portable 3-D millimeter wave imaging system operating in the K-band (24 GHz). This imaging system consists of a multiple input, multiple output (MIMO) array of 32 transmit elements and 32 receive elements that illuminates a scene with millimeter wave energy and processes the reflected signals to reconstruct a 3-D image. To achieve an acceptable image resolution from this sparse array, the system combines multiple measurements while the sensor is moved relative to the scene being imaged. For ease of portability, the imaging system uses a single Ethernet cable to power the sensor and transfer the captured raw data to a laptop computer. A graphics processing unit (GPU)-optimized image reconstruction algorithm transforms the raw data to a 3-D image with approximately 1 cm voxel resolution, which is rendered in 3-D in a Web browser based user interface. We present measured test images and demonstrate an achieved dimensioning accuracy of ±1 − 3 mm when the system is used to detect and dimension objects hidden behind opaque building materials such as drywall, plywood, ceramic tile, vinyl flooring, and cement.

Conference Presentation

Citation Download Citation

Daniel Arnitz, Claire M. Watts, Andreas Pedross-Engel, and Matthew S. Reynolds "A portable K-band (24 GHz) 3-D millimeter wave imaging system for detecting and dimensioning hidden objects", Proc. SPIE 12111, Passive and Active Millimeter-Wave Imaging XXV, 1211108 (3 June 2022); https://doi.org/10.1117/12.2619122

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