An Enhanced Time-Reversal Imaging Algorithm-Driven Sparse Linear Array for Progressive and Quantitative Monitoring of Cracks

2019 ◽  
Vol 68 (10) ◽  
pp. 3433-3445 ◽  
Author(s):  
Qiang Wang ◽  
Yanfeng Xu ◽  
Zhongqing Su ◽  
Maosen Cao ◽  
Dong Yue
Keyword(s):  
Time Reversal ◽  
Linear Array ◽  
Imaging Algorithm ◽  
Quantitative Monitoring ◽  
Sparse Linear Array

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.

Downward looking sparse linear array 3D SAR imaging algorithm based on back-projection and convex optimization

2014 ◽  
Vol 31 (4) ◽  
pp. 298-309
Author(s):  
Qian Bao ◽  
Xueming Peng ◽  
Yanping Wang ◽  
Weixian Tan ◽  
Wen Hong
Keyword(s):  
Convex Optimization ◽  
Linear Array ◽  
Back Projection ◽  
Imaging Algorithm ◽  
Sparse Linear Array ◽  
Sar Imaging

Localisation of mixed near‐field and far‐field sources using the largest aperture sparse linear array

2018 ◽  
Vol 12 (2) ◽  
pp. 155-162 ◽  
Author(s):  
Ali Akbar Ebrahimi ◽  
Hamid Reza Abutalebi ◽  
Mahmood Karimi
Keyword(s):  
Linear Array ◽  
Near Field ◽  
Far Field ◽  
Sparse Linear Array

Hybrid Sparse Linear Array Synthesis Applied to Phased Antenna Arrays

2014 ◽  
Vol 13 ◽  
pp. 185-188 ◽  
Author(s):  
Leonardo F. Yepes ◽  
David H. Covarrubias ◽  
Miguel A. Alonso ◽  
Ramon Ferrus
Keyword(s):  
Antenna Arrays ◽  
Linear Array ◽  
Phased Antenna Arrays ◽  
Sparse Linear Array

Sparse Linear Array Design via Membrane Algorithm

2019 ◽  
Author(s):  
Na Gan ◽  
Guolong Cui ◽  
Jing Yang ◽  
Xianxiang Yu ◽  
Lingjiang Kong
Keyword(s):  
Linear Array ◽  
Array Design ◽  
Membrane Algorithm ◽  
Sparse Linear Array

Azimuth-elevation direction finding, using three uni-axial velocity sensors as an arbitrarily sparse linear array

2018 ◽  
Vol 143 (3) ◽  
pp. 1872-1872
Author(s):  
Yang Song ◽  
Kainam T. Wong ◽  
Salman Khan ◽  
Mohammad Asaduzzaman Khan
Keyword(s):  
Axial Velocity ◽  
Linear Array ◽  
Direction Finding ◽  
Sparse Linear Array
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