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 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

scholarly journals Spherical Scanning 3-D Microwave Imaging of Near-field Scatterers Mutually Coupled With an Antenna Array

2021 ◽  
Author(s):  
Takuma Watanabe ◽  
Hiroyoshi Yamada
Keyword(s):  
Antenna Array ◽  
Imaging Techniques ◽  
Near Field ◽  
Image Resolution ◽  
Synthetic Aperture ◽  
Simple Extension ◽  
Imaging Method ◽  
Synthetic Aperture Imaging ◽  
Spherical Antenna ◽  
Simulation Based

<div>*This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.<br></div><div><br></div>In this article, we propose a 3-D synthetic aperture imaging method with spherical antenna scanning to identify scatterers located close to an antenna array, such as fixtures or support of the antenna. Previous studies have shown that 2-D and 3-D synthetic aperture imaging techniques with planar, circular, and cylindrical scanning can successfully reconstruct spatial images of near-field scatterers. The spherical scanning approach considered in this article is expected to improve the 3-D image resolution because more angular diversity can be achieved in the elevation direction. However, as we show in this study, simple extension of the previous techniques to the spherical case results in undesired blur artifacts in the reconstructed image. To overcome this problem, we introduce a correction factor in the image reconstruction. The proposed imaging algorithm is validated by numerical electromagnetic simulation based on the method of moments.

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