Application of the log-phase formulation for three-dimensional microwave imaging

2007 ◽  
Author(s):  
T. Rubaek ◽  
P. Meincke ◽  
O.S. Kim ◽  
P.M. Meaney ◽  
K.D. Paulsen
Keyword(s):  
Three Dimensional ◽  
Microwave Imaging

Experimental microwave imaging of three-dimensional targets with different inversion procedures

2009 ◽  
Vol 106 (3) ◽  
pp. 034901 ◽  
Author(s):  
P. C. Chaumet ◽  
K. Belkebir ◽  
A. Sentenac
Keyword(s):  
Three Dimensional ◽  
Microwave Imaging

Microwave imaging by three-dimensional Born linearization of electromagnetic scattering

Radio Science ◽  
1990 ◽  
Vol 25 (6) ◽  
pp. 1221-1229 ◽  
Author(s):  
S. Caorsi ◽  
G. L. Gragnani ◽  
M. Pastorino
Keyword(s):  
Electromagnetic Scattering ◽  
Three Dimensional ◽  
Microwave Imaging

scholarly journals Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Weixian Tan ◽  
Pingping Huang ◽  
Zengshu Huang ◽  
Yaolong Qi ◽  
Wenqin Wang
Keyword(s):  
Field Experiments ◽  
Reference Signal ◽  
Three Dimensional ◽  
Microwave Imaging ◽  
Propagation Loss ◽  
Real Field ◽  
3D Image ◽  
Wavefront Reconstruction ◽  
3D Image Reconstruction ◽  
Concealed Weapon Detection

Three-dimensional (3D) microwave imaging has been proven to be well suited for concealed weapon detection application. For the 3D image reconstruction under two-dimensional (2D) planar aperture condition, most of current imaging algorithms focus on decomposing the 3D free space Green function by exploiting the stationary phase and, consequently, the accuracy of the final imagery is obtained at a sacrifice of computational complexity due to the need of interpolation. In this paper, from an alternative viewpoint, we propose a novel interpolation-free imaging algorithm based on wavefront reconstruction theory. The algorithm is an extension of the 2D range stacking algorithm (RSA) with the advantages of low computational cost and high precision. The algorithm uses different reference signal spectrums at different range bins and then forms the target functions at desired range bin by a concise coherent summation. Several practical issues such as the propagation loss compensation, wavefront reconstruction, and aliasing mitigating are also considered. The sampling criterion and the achievable resolutions for the proposed algorithm are also derived. Finally, the proposed method is validated through extensive computer simulations and real-field experiments. The results show that accurate 3D image can be generated at a very high speed by utilizing the proposed algorithm.

Sign in / Sign up

Export Citation Format

Share Document