Showing posts with label Jingkun Gao. Show all posts
Showing posts with label Jingkun Gao. Show all posts

Wednesday, September 12, 2018

Abstract-Fast Three-Dimensional Image Reconstruction of a Standoff Screening System in the Terahertz Regime

Jingkun Gao   Zhenmao Cui ;  Binbin Cheng,   Yuliang Qin, Xianjin Deng,  Bin Deng,   Xiang Li,  Hongqiang Wang

https://ieeexplore.ieee.org/document/8115312/

Based on a novel prototype terahertz screening system, its ability of fast three-dimensional (3-D) image reconstruction is demonstrated. We first give a brief introduction of the system. Then detailed analyses on signal model, system calibration, the influences of approximations, and the imaging performances are conducted. At last, proof-of-concept experiments are performed and preliminary 2-D and 3-D imaging results are presented. We show that the imaging problem can be resorted to a problem of spectral estimation finally. At this stage on this prototype system, a 180 cm × 90 cm region at 4-m range costs less than 0.1 s for 2-D imaging, 1 s for 3-D imaging and an extra 2 s for mechanical scanning. Faster speeds are on the horizon as hardware and software updates are ongoing. These results show its potential of real-time 3-D imaging for standoff concealed threats detection.

Saturday, January 6, 2018

Abstract-Efficient Terahertz Wide-Angle NUFFT-Based Inverse Synthetic Aperture Imaging Considering Spherical Wavefront


Jingkun Gao, Bin Deng, Yuliang Qin, Hongqiang Wang, Xiang Li

http://www.mdpi.com/1424-8220/16/12/2120

An efficient wide-angle inverse synthetic aperture imaging method considering the spherical wavefront effects and suitable for the terahertz band is presented. Firstly, the echo signal model under spherical wave assumption is established, and the detailed wavefront curvature compensation method accelerated by 1D fast Fourier transform (FFT) is discussed. Then, to speed up the reconstruction procedure, the fast Gaussian gridding (FGG)-based nonuniform FFT (NUFFT) is employed to focus the image. Finally, proof-of-principle experiments are carried out and the results are compared with the ones obtained by the convolution back-projection (CBP) algorithm. The results demonstrate the effectiveness and the efficiency of the presented method. This imaging method can be directly used in the field of nondestructive detection and can also be used to provide a solution for the calculation of the far-field RCSs (Radar Cross Section) of targets in the terahertz regime.