mmSight: Towards Robust Millimeter-Wave Imaging on Handheld Devices

Schellberg, Jacqueline M; Regmi, Hem; Sur, Sanjib

doi:10.1109/wowmom57956.2023.00026

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…Among existing works, synthetic aperture radar (SAR) motion compensation typically involves the use of computationally intensive algorithms such as the Doppler Keystone transform (DKT), range cell migration correction, and phase gradient autofocus [25], [26], [27], [28], [29], [30], [31]. Other higher-performance methods such as parametric DKT [32], range envelope correction [33], short-time-Fourier-transform (STFT) histogram-based interference removal [34], range-dependent map drift correction [35], and ML algorithms [36], [37], [38], among others [25], [39], [40], [41], entail even greater computational load and/or have been exclusively deployed in post-processing. Such methods also tend to implement correction in the range domain only, for which typical range resolutions render mm-scale vibration correction impractical [31], [42], [43].…”

Section: A Related Workmentioning

confidence: 99%

Anchor-Based, Real-Time Motion Compensation for High-Resolution mmWave Radar

Poole,

Arbabian

2024

IEEE J. Microw.

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In the modern domain of edge sensing and physically compact smart devices, mmWave radar has emerged as a prominent modality, simultaneously offering high-resolution perception capacity and accommodatingly small form factor. The inevitable presence of device motion, however, corrupts the received radar data, reducing target sensing capability and requiring active correction to address the resultant spectral "blurring". Existing motion compensation techniques utilize computationally intensive post-processing algorithms and/or auxiliary hardware, aspects ill-suited for resource-limited edge devices requiring minimal system latency and complexity. Early works also often consider motion dynamics such as pure single-mode vibration, neglecting additional modes as well as non-harmonic motion content. We resolve both of these limitations by presenting a real-time-compatible, generalized complex motion compensation algorithm capable of correcting multicomponent platform trajectories involving both non-harmonic transients and multimode harmonic vibration. The proposed anchor-based approach achieves average SNR gains of 24.9 dB and 19.7 dB across transient duration and target velocity, respectively, and average multimode harmonic suppressions of 38.9 dB and 29.4 dB across vibration parameters and target velocity, respectively. These results, combined with minimal latency (≤ 240 ms), low algorithmic complexity, and the elimination of any additional auxiliary sensors, render the proposed method suitable for deployment in typical edge sensing applications.INDEX TERMS Real-time sensing, mmWave radar, high-resolution radar, imaging radar, complex motion, deconvolution, radar signal processing, anchor point.

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Section: A Related Workmentioning

confidence: 99%

Anchor-Based, Real-Time Motion Compensation for High-Resolution mmWave Radar

Poole,

Arbabian

2024

IEEE J. Microw.

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A high-resolution handheld millimeter-wave imaging system with phase error estimation and compensation

Li,

Zhang,

Geng

et al. 2024

Commun Eng

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Despite the enormous potential of millimeter-wave (mmWave) imaging, the high cost of large-scale antenna arrays or stringent prerequisites of the synthetic aperture radar (SAR) principle impedes its widespread application. Here, we report a portable, affordable, and high-resolution 3D mmWave imaging system by overcoming the destructive motion error of handheld SAR imaging. This is achieved by revealing two important phenomenons: spatial asymmetry of motion errors in different directions, and local similarity of phase errors exhibited by different targets, based on which we formulate the challenging phase error estimation problem as a tractable point spread function optimization problem. Experiments demonstrate that our approach can recover high-fidelity 3D mmWave images from severely distorted signals and augment the aperture size by over 50 times. Since our system does not rely on costly massive antennas or bulky motion controllers, it can be applied for diverse applications including security inspection, autonomous driving, and medical monitoring.

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