Sub-Sampled Two-Dimensional SAR Imaging Method Based on MIMO FMCW Radar

One challenge of near field millimeter wave imaging technology is to solve the conflict between high image resolution and high computational cost with raw data. This paper investigates the use of MIMO FMCW radar in two-dimensional synthetic aperture radar imaging process under sparsely sampling cond...

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Bibliographic Details
Published in2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) pp. 221 - 223
Main Authors Ren, Zesheng, Xiong, Yuyong, Li, Songxu, Wang, Dong, Peng, Zhike
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.10.2020
Subjects
FMCW
Imaging
MIMO communication
MIMO radar
Radar
Radar imaging
Radar polarimetry
SAR imaging
Simulation
subsampling
Synthetic aperture radar
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Summary:One challenge of near field millimeter wave imaging technology is to solve the conflict between high image resolution and high computational cost with raw data. This paper investigates the use of MIMO FMCW radar in two-dimensional synthetic aperture radar imaging process under sparsely sampling conditions at space axes. Exploiting the thought that considering the imaging process as a filter, multiple virtual channels' information is taken advantaged with complex gains so that even sub-sampled data blocks can successfully rebuild the target image with little aliasing components. Simulation validations are provided to show the effectiveness of this method.
DOI:10.1109/ICSMD50554.2020.9261629