Multistatic radar-based imaging in layered and dispersive media for biomedical applications

Ullah, Rahmat; Saied, Imran; Arslan, Tughrul

doi:10.1016/j.bspc.2023.104568

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Near-field radar imaging systems are of interest in diverse fields such as airport security, surveillance, concealed weapon detection, through-wall imaging, and medicine [1][2][3][4][5][6][7][8]. Earlier near-field radar imaging systems have operated in monostatic mode using collocated transmitter and receiver antennas [3,6,9].…”

Section: Introductionmentioning

confidence: 99%

Efficient physics-based learned reconstruction methods for real-time 3D near-field MIMO radar imaging

Manisali,

Oral,

Oktem

2024

Digital Signal Processing

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Section: Introductionmentioning

confidence: 99%

Efficient physics-based learned reconstruction methods for real-time 3D near-field MIMO radar imaging

Manisali,

Oral,

Oktem

2024

Digital Signal Processing

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“…They can be successfully applied to contactlessly characterize a number of biomedical parameters, detect emergencies, and provide excellent long-term care benefits 1 . Over the last decade, several prototypes have been developed that demonstrate the potential of using AI-powered radar systems for non-invasive glucose sensing 2 , wearable sweat monitoring 3 , 4 , multi-person vital sign tracking 5 – 7 , gait monitoring 8 , fall detection 9 , human eye activity monitoring 10 , and imaging 11 . Compact radars are also often used in wearable technology, such as smartwatches, for routine human health monitoring 12 , 13 .…”

Section: Introductionmentioning

confidence: 99%

Radar near-field sensing using metasurface for biomedical applications

Bagheri,

Gharamohammadi,

Abu-Sardanah

et al. 2024

Commun Eng

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Metasurfaces, promising technology exemplified by their precise manipulation of incident wave properties and exquisite control over electromagnetic field propagation, offer unparalleled benefits when integrated into radar systems, providing higher resolution and increased sensitivity. Here, we introduce a metasurface-enhanced millimeter-wave radar system for advanced near-field bio-sensing, underscoring its adaptability to the skin-device interface, and heightened diagnostic precision in non-invasive healthcare monitoring. The low-profile planar metasurface, featuring a phase-synthesized array for near-field impedance matching, integrates with radar antennas to concentrate absorbed power density within the skin medium while simultaneously improving the received power level, thereby enhancing sensor signal-to-noise ratio. Measurement verification employs a phantom with material properties resembling human skin within the radar frequency range of 58 to 63 GHz. Results demonstrate a notable increase of over 11 dB in near-field Poynting power density within the phantom model, while radar signal processing analysis indicates a commensurate improvement in signal-to-noise ratio, thus facilitating enhanced sensing in biomedical applications.

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Experimental Verification of Microwave Head Imaging System Using Phantoms Fabricated from Artificial Tissue-Mimicking Materials

Lalitha,

Manjula

2023

J. Electron. Mater.

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Multistatic radar-based imaging in layered and dispersive media for biomedical applications

Cited by 3 publications

References 28 publications

Efficient physics-based learned reconstruction methods for real-time 3D near-field MIMO radar imaging

Efficient physics-based learned reconstruction methods for real-time 3D near-field MIMO radar imaging

Radar near-field sensing using metasurface for biomedical applications

Experimental Verification of Microwave Head Imaging System Using Phantoms Fabricated from Artificial Tissue-Mimicking Materials

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