3-D High-Resolution Imaging Radar at 300 GHz With Enhanced FoV

Grajal, Jesús; Badolato, Alejandro; Rubio-Cidre, Gorka; Úbeda-Medina, Luis; Mencia-Oliva, B.; García‐Pino, A.; González-Valdés, Borja; Rubiños, Óscar

doi:10.1109/tmtt.2015.2391105

Cited by 68 publications

(29 citation statements)

References 35 publications

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“…Recently, increasing terrors have been motivating the development of various concealed weapon detection techniques for better security monitoring at airports, courthouses, and other buildings [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. The ability to detect dangerous hidden items is seen as a significant tool in defeating terrorism in today's environment.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique

Tan

Huang

et al. 2017

International Journal of Antennas and Propagation

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Three-dimensional (3D) microwave imaging has been proven to be well suited for concealed weapon detection application. For the 3D image reconstruction under two-dimensional (2D) planar aperture condition, most of current imaging algorithms focus on decomposing the 3D free space Green function by exploiting the stationary phase and, consequently, the accuracy of the final imagery is obtained at a sacrifice of computational complexity due to the need of interpolation. In this paper, from an alternative viewpoint, we propose a novel interpolation-free imaging algorithm based on wavefront reconstruction theory. The algorithm is an extension of the 2D range stacking algorithm (RSA) with the advantages of low computational cost and high precision. The algorithm uses different reference signal spectrums at different range bins and then forms the target functions at desired range bin by a concise coherent summation. Several practical issues such as the propagation loss compensation, wavefront reconstruction, and aliasing mitigating are also considered. The sampling criterion and the achievable resolutions for the proposed algorithm are also derived. Finally, the proposed method is validated through extensive computer simulations and real-field experiments. The results show that accurate 3D image can be generated at a very high speed by utilizing the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique

Tan

Huang

et al. 2017

International Journal of Antennas and Propagation

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“…Most submillimetre wave radars make use of solid-state frequency multiplier chains [3,4,5,6,7], exploiting both MMIC and Schottky diode technologies, to generate transmit powers which are typically in the milliwatt class. When combined with sensitive heterodyne or homodyne receivers, these radars can achieve high dynamic ranges.…”

Section: Overview Of Submillimetre Wave Radarmentioning

confidence: 99%

“…The challenge in achieving high fidelity radar measurements with such bandwidths is to achieve wideband chirps which have good linearity, low phase noise and short duration, especially if fast pixel rates are required [9]. This places demands on the chirp generator used to drive the multipliers, which is usually at microwave frequencies, and the spectral characteristics of all the components in the frequency multiplication chain (such as amplitude flatness and group delay variations), both of which contribute to distortion of the radar's point response [4,7].…”

Section: Overview Of Submillimetre Wave Radarmentioning

confidence: 99%

Submillimetre wave 3D imaging radar for security applications

Robertson¹,

Macfarlane²,

Cassidy³

et al. 2016

IET Colloquium on Millimetre-Wave and Terahertz Engineering [Amp ] Technology 2016

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There is ongoing worldwide interest in finding solutions to enhance the security of civilians at airports, borders and high risk public areas in ways which are safe, ethical and streamlined. One promising approach is to use submillimetre wave 3D imaging radar to detect concealed threats as it offers the advantages of high volumetric resolution (~1 cm3) with practically sized antennas (<0.5 m) such that even quite small objects can be resolved through clothing. The Millimetre Wave Group at the University of St Andrews has been developing submillimetre wave 3D imaging radars for security applications since 2007. A significant goal is to achieve near real-time frame rates of at least 10 Hz, to cope with dynamic scenes, over wide fields of view at short range with high pixel counts. We review the radar systems we have developed at 340 and 220 GHz and the underpinning technologies which we have employed to realise these goals.

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“…Like existing works on radar imaging [25,36,21,20], we evaluate the utility and accuracy of our proposed design by imaging real objects of different size, curvature, and material. In addition to the objects listed in Figure 3 which are of 5cm-30cm in width, we also test smaller objects including a keyring and a small wrench (2.5cm in width).…”

Section: Testbed and Experimental Setupmentioning

confidence: 99%

Reusing 60GHz Radios for Mobile Radar Imaging

Zhu

Zhao

et al. 2015

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking

111

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The future of mobile computing involves autonomous drones, robots and vehicles. To accurately sense their surroundings in a variety of scenarios, these mobile computers require a robust environmental mapping system. One attractive approach is to reuse millimeterwave communication hardware in these devices, e.g. 60GHz networking chipset, and capture signals reflected by the target surface. The devices can also move while collecting reflection signals, creating a large synthetic aperture radar (SAR) for high-precision RF imaging. Our experimental measurements, however, show that this approach provides poor precision in practice, as imaging results are highly sensitive to device positioning errors that translate into phase errors. We address this challenge by proposing a new 60GHz imaging algorithm, RSS Series Analysis, which images an object using only RSS measurements recorded along the device's trajectory. In addition to object location, our algorithm can discover a rich set of object surface properties at high precision, including object surface orientation, curvature, boundaries, and surface material. We tested our system on a variety of common household objects (between 5cm-30cm in width). Results show that it achieves high accuracy (cm level) in a variety of dimensions, and is highly robust against noises in device position and trajectory tracking. We believe that this is the first practical mobile imaging system (re)using 60GHz networking devices, and provides a basic primitive towards the construction of detailed environmental mapping systems.

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3-D High-Resolution Imaging Radar at 300 GHz With Enhanced FoV

Cited by 68 publications

References 35 publications

Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique

Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique

Submillimetre wave 3D imaging radar for security applications

Reusing 60GHz Radios for Mobile Radar Imaging

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