Presentation + Paper
3 June 2022 220 GHz sparse imaging with multi-static aperiodic array
Shaoqing Hu, Amir Masoud Molaei, Okan Yurduseven
Author Affiliations +
Abstract
This paper proposes a simple design method for a multi-static aperiodic array to achieve 220 GHz sparse imaging, and a corresponding image reconstruction algorithm based on Fast Fourier Transform (FFT) and sparse data recovery. The proposed aperiodic sparse array originates from the linear sparse periodic array (SPA), it can further save the number of sampling data, transceivers and system cost compared to SPA imaging system. Low rank matrix recovery technique with principal component pursuit by alternating directions method (PCPADM) is used to recover the missing data caused by the sparse sampling. In order to achieve fast image reconstruction, FFT-based matched filtering method is used in which multistatic-to-monostatic conversion and interpolation are applied for data pre-processing. The proposed imaging scheme has been verified in experiments. An imaging resolution of 6 mm resolution is achieved at 1.4 m with 192 mm × 300 mm field of view, with a significantly reduced reconstruction time in comparison to the generalized synthetic aperture focusing technique (GSAFT).
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shaoqing Hu, Amir Masoud Molaei, and Okan Yurduseven "220 GHz sparse imaging with multi-static aperiodic array", Proc. SPIE 12111, Passive and Active Millimeter-Wave Imaging XXV, 121110I (3 June 2022); https://doi.org/10.1117/12.2618235
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KEYWORDS
Imaging systems

Reconstruction algorithms

Synthetic aperture radar

Synthetic aperture imaging

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