A compressive sensing imaging algorithm for millimeter-wave synthetic aperture imaging radiometer in near-field

2013 ◽  
Author(s):  
Jianfei Chen ◽  
Yuehua Li ◽  
Jianqiao Wang ◽  
Yuanjiang Li
Keyword(s):  
Compressive Sensing ◽  
Millimeter Wave ◽  
Near Field ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Imaging Algorithm

scholarly journals AN ACCURATE IMAGING ALGORITHM FOR MILLIMETER WAVE SYNTHETIC APERTURE IMAGING RADIOMETER IN NEAR-FIELD

2013 ◽  
Vol 141 ◽  
pp. 517-535 ◽  
Author(s):  
Jianfei Chen ◽  
Yuehua Li ◽  
Jianqiao Wang ◽  
Yuanjiang Li ◽  
Yilong Zhang
Keyword(s):  
Millimeter Wave ◽  
Near Field ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Imaging Algorithm ◽  
Accurate Imaging

scholarly journals REGULARIZATION IMAGING ALGORITHM WITH ACCURATE G MATRIX FOR NEAR-FIELD MMW SYNTHETIC APERTURE IMAGING RADIOMETER

2014 ◽  
Vol 58 ◽  
pp. 193-203 ◽  
Author(s):  
Jianfei Chen ◽  
Yuehua Li ◽  
Jianqiao Wang ◽  
Yuanjiang Li ◽  
Yilong Zhang
Keyword(s):  
Near Field ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Imaging Algorithm

scholarly journals Compressive sensing and adaptive sampling applied to millimeter wave inverse synthetic aperture imaging

2017 ◽  
Vol 25 (3) ◽  
pp. 2270 ◽  
Author(s):  
Ruoyu Zhu ◽  
Jonathan T. Richard ◽  
David J. Brady ◽  
Daniel L. Marks ◽  
Henry O. Everitt
Keyword(s):  
Compressive Sensing ◽  
Millimeter Wave ◽  
Adaptive Sampling ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging

scholarly journals Far-Field Radar Cross-Section Determination From Near-Field 3-D Synthetic Aperture Imaging With Arbitrary Antenna Scanning Surfaces

2021 ◽  
Author(s):  
Takuma Watanabe ◽  
Hiroyoshi Yamada
Keyword(s):  
Cross Section ◽  
Near Field ◽  
Radar Cross Section ◽  
Synthetic Aperture ◽  
Far Field ◽  
Synthetic Aperture Imaging ◽  
Radar Images ◽  
Field Transformation ◽  
Chamber Measurements ◽  
Previous Image

In this study, we propose a generalized algorithm for far-field radar cross-section determination from 3-D synthetic aperture imaging with arbitrary antenna scanning surfaces. This method belongs to the class of techniques called image-based near-field to far-field transformation. The previous image-based approaches were formulated based on a specific antenna scanning surface or trajectory such as a line, a plane, a circle, a cylinder, and a sphere--and the majority of them considered 2-D radar images to determine the azimuth radar cross-section. We generalize the conventional image-based technique to accommodate an arbitrary antenna scanning surface, and consider a 3-D radar image for radar cross-section prediction in both the azimuth and zenith directions. We demonstrate the proposed algorithm via numerical simulations and anechoic chamber measurements.

scholarly journals A Robust Reweighted L1-Minimization Imaging Algorithm for Passive Millimeter Wave SAIR in Near Field

Sensors ◽  
2015 ◽  
Vol 15 (10) ◽  
pp. 24945-24960 ◽  
Author(s):  
Yilong Zhang ◽  
Yuehua Li ◽  
Shujin Zhu ◽  
Yuanjiang Li
Keyword(s):  
Millimeter Wave ◽  
Near Field ◽  
L1 Minimization ◽  
Imaging Algorithm
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