scholarly journals Three-Dimensional Ground-Based SAR Imaging Algorithm Based on Keystone Formatting and Subblock

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 90118-90131
Author(s):  
Weiming Tian ◽  
Wenyu Yang ◽  
Tongxin Dang ◽  
Zheng Zhao ◽  
Xiaoxin Han
Keyword(s):  
Three Dimensional ◽  
Imaging Algorithm ◽  
Sar Imaging

scholarly journals Three-Dimensional Imaging of Terahertz Circular SAR with Sparse Linear Array

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2477 ◽  
Author(s):  
Jubo Hao ◽  
Jin Li ◽  
Yiming Pi
Keyword(s):  
3D Imaging ◽  
Linear Array ◽  
Ground Plane ◽  
Three Dimensional ◽  
Terahertz Waves ◽  
Recovery Method ◽  
Imaging Algorithm ◽  
Imaging Geometry ◽  
Imaging Results ◽  
Sparse Linear Array

Due to the non-contact detection ability of radar and the harmlessness of terahertz waves to the human body, three-dimensional (3D) imaging using terahertz synthetic aperture radar (SAR) is an efficient method of security detection in public areas. To achieve high-resolution and all aspect imaging, circular trajectory movement of radar and linear sensor array along the height direction were used in this study. However, the short wavelength of terahertz waves makes it practically impossible for the hardware to satisfy the half-wavelength spacing condition to avoid grating lobes. To solve this problem, a sparse linear array model based on the equivalent phase center principle was established. With the designed imaging geometry and corresponding echo signal model, a 3D imaging algorithm was derived. Firstly, the phase-preserving algorithm was adopted to obtain the 2D image of the ground plane for each sensor. Secondly, the sparse recovery method was applied to accomplish the scattering coefficient reconstruction along the height direction. After reconstruction of all the range-azimuth cells was accomplished, the final 3D image was obtained. Numerical simulations and experiments using terahertz radar were performed. The imaging results verify the effectiveness of the 3D imaging algorithm for the proposed model and validate the feasibility of terahertz radar applied in security detection.

A RELAX Based Method for Spotlight SAR Imaging

2012 ◽  
Vol 500 ◽  
pp. 362-367
Author(s):  
Xiao Zhen Ren ◽  
Yao Qin ◽  
Hong Liang Fu
Keyword(s):  
Parameter Estimation ◽  
Estimation Problem ◽  
Noisy Environment ◽  
Parameter Estimation Problem ◽  
Imaging Algorithm ◽  
Imaging Results ◽  
Sar Imaging ◽  
Simulation Results ◽  
Noisy Condition

The imaging problem of spotlight SAR is converted to a parameter estimation problem of several monochromatic signals in additive white Gaussian noisy condition in this paper. Moreover, a spotlight SAR imaging algorithm based on RELAX is presented in detail. Traditional polar format algorithm and the presented method are applied to spotlight SAR imaging respectively, and the imaging results are compared. Simulation results show that the polar format algorithm doesn’t give satisfactory imaging results, while the proposed method adapts the noisy environment better and obtains better results.

One-Stationary Bistatic Side-Looking SAR Imaging Algorithm Based on Extended Keystone Transforms and Nonlinear Chirp Scaling

2013 ◽  
Vol 10 (2) ◽  
pp. 211-215 ◽  
Author(s):  
Zhongyu Li ◽  
Junjie Wu ◽  
Wenchao Li ◽  
Yulin Huang ◽  
Jianyu Yang
Keyword(s):  
Imaging Algorithm ◽  
Sar Imaging

scholarly journals Study of the Extended Phase Shift Migration for Three-Dimensional MIMO-SAR Imaging in Terahertz Band

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 24773-24783 ◽  
Author(s):  
Hang Gao ◽  
Chao Li ◽  
Shiyou Wu ◽  
Hebin Geng ◽  
Shen Zheng ◽  
...  
Keyword(s):  
Phase Shift ◽  
Three Dimensional ◽  
Extended Phase ◽  
Terahertz Band ◽  
Sar Imaging

Three‐dimensional SAR imaging of sea targets with low PRF sampling

2018 ◽  
Vol 12 (3) ◽  
pp. 294-300 ◽  
Author(s):  
Pengfei Wang ◽  
Mei Liu ◽  
Zhigui Wang
Keyword(s):  
Three Dimensional ◽  
Sar Imaging
Sign in / Sign up

Export Citation Format

Share Document