Millimeter-wave concealed weapons detection and through-the-wall imaging systems

1997 ◽  
Author(s):  
G. Richard Huguenin
Keyword(s):  
Millimeter Wave ◽  
Imaging Systems ◽  
Concealed Weapons ◽  
Wall Imaging

Super-Resolution Restoration for Image Based on Entropy Constraint and Projection onto Convex Set

2012 ◽  
Vol 468-471 ◽  
pp. 1041-1048 ◽  
Author(s):  
Xiao Qin Li ◽  
Kang Ling Fang ◽  
Can Jin
Keyword(s):  
Convergence Rate ◽  
Millimeter Wave ◽  
Convex Set ◽  
Super Resolution ◽  
Reconstruction Algorithm ◽  
Spatial Domain ◽  
Imaging Systems ◽  
Resolution Limit ◽  
Classical Algorithm ◽  
Restoration Algorithm

Super-resolution reconstruction for image breaks through the resolution limit of imaging systems without hardware change. The algorithm of projection onto convex set (POCS) is a typical super-resolution reconstruction algorithm in spatial domain. The classical algorithm of POCS lacks the overall constraint for the image, and the convergence rate for iteration is incontrollable. A new super-resolution restoration algorithm for image based on entropy constraint and POCS is proposed in this paper, and experiments with optical and millimeter wave images demonstrate that the new algorithm is effective in improving the precision of super-resolution restoration.

An autofocusing method for imaging the targets for TWI radar systems with correction of thickness and dielectric constant of wall

2018 ◽  
Vol 11 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Sandeep Kaushal ◽  
Bambam Kumar ◽  
Dharmendra Singh
Keyword(s):  
Genetic Algorithm ◽  
Dielectric Constant ◽  
Continuous Wave ◽  
Signal To Noise Ratio ◽  
Imaging Systems ◽  
Signal To Noise ◽  
Radar Systems ◽  
Stepped Frequency ◽  
Correct Image ◽  
Wall Imaging

AbstractIn through the wall imaging systems, wall parameters like its thickness and dielectric constant play an important role in the true and correct image formation of an object behind the wall made of various materials like brick cement, wood, plastic, etc. Incorrect estimation of these parameters leads to dislocation of the object and smearing or blurriness of the image too. A new autofocusing technique for a stepped frequency continuous wave -based radar at the frequency of 1–3 Ghz has been developed that corrects the wall's parameters like its thickness and dielectric constant and provides a better focused image of the target. For this purpose, a peak signal to noise ratio -based autofocusing technique has been developed by using curve fitting and the genetic algorithm. It is observed that the proposed technique has capability to focus the image up to good extent.

scholarly journals Performance Enhancement of Inexpensive Glow Discharge Detector Operating in Up-Conversion Mode in Millimeter Wave Detection for Focal Plane Arrays

2021 ◽  
Vol 11 (20) ◽  
pp. 9564
Author(s):  
Arun Ramachandra Kurup ◽  
Daniel Rozban ◽  
Lidor Kahana ◽  
Amir Abramovich ◽  
Yitzhak Yitzhaky ◽  
...  
Keyword(s):  
Glow Discharge ◽  
Millimeter Wave ◽  
Performance Enhancement ◽  
Signal To Noise Ratio ◽  
Focal Plane Arrays ◽  
Imaging Systems ◽  
Pass Filter ◽  
Detailed Derivation ◽  
Glow Discharge Detector ◽  
Thz Sensor

Performance enhancement of a very inexpensive millimeter-wave (MMW)/terahertz (THz) sensor for MMW/THz imaging systems is experimentally demonstrated in this study. The MMW sensor is composed of a glow discharge detector (GDD) and a light-to-frequency (LTF) converter combination. The experimental results given in this study show an improvement in the performance parameters of the detector element, such as the minimum detectable signal, as well as the signal to noise ratio (SNR) and the noise equivalent power (NEP), when a NIR long-pass filter was inserted between the GDD and the LTF combination. A detailed derivation of the NEP of this unique sensor is presented in this work. Based on this derivation and the experimental measurements, the NEP value was calculated.

A Pole-Extraction Algorithm for Wall Characterization in Through-the-Wall Imaging Systems

2019 ◽  
Vol 67 (11) ◽  
pp. 7106-7113 ◽  
Author(s):  
Sajjad Sadeghi ◽  
Karim Mohammadpour-Aghdam ◽  
Kai Ren ◽  
Reza Faraji-Dana ◽  
Robert J. Burkholder
Keyword(s):  
Imaging Systems ◽  
Extraction Algorithm ◽  
Wall Imaging
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