An inverse polar format algorithm for turntable spotlight ISAR imaging systems using stepped frequency waveforms

2004 ◽  
Author(s):  
S.D. Fisher ◽  
M.A. Richards ◽  
G.A. Showman
Keyword(s):  
Imaging Systems ◽  
Isar Imaging ◽  
Stepped Frequency

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.

A Fully Automatic Autofocusing Algorithm for Post-processing ISAR Imaging based on Image Entropy Minimization

1970 ◽  
Vol 110 (4) ◽  
pp. 125-130
Author(s):  
E. D. Kallitsis ◽  
A. V. Karakasiliotis ◽  
G. E. Boultadakis ◽  
P. V. Frangos
Keyword(s):  
Computational Cost ◽  
Angular Acceleration ◽  
Synthetic Aperture ◽  
Post Processing ◽  
Acceptable Range ◽  
Image Entropy ◽  
Isar Imaging ◽  
Fully Automatic ◽  
Simulation Results ◽  
Stepped Frequency

Autofocus is a technique for improving inverse synthetic aperture radar (ISAR) imaging. In this paper, a novel autofocusing method is developed for high-resolution stepped-frequency ISAR. Non-uniform rotational motion is compensated through the proposed post-processing methodology. In this way, the computational cost of polar reformatting process can be circumvented. The proposed CPI-split autofocusing process results in well-focused ISAR images for high angular acceleration periods. Finally, ISAR image entropy dependencies are thoroughly examined through various simulation results, leading to an acceptable range of entropy values for the autofocusing process. Ill. 7, bibl. 9, tabl. 3 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.110.4.305

ISAR Imaging Using a New Stepped-Frequency Signal Format

2014 ◽  
Vol 52 (7) ◽  
pp. 4291-4305 ◽  
Author(s):  
Jiemin Hu ◽  
Jun Zhang ◽  
Qinglin Zhai ◽  
Ronghui Zhan ◽  
Dawei Lu
Keyword(s):  
Frequency Signal ◽  
Isar Imaging ◽  
Stepped Frequency

ISAR imaging of space objects based on stepped frequency modulation

2013 ◽  
Author(s):  
Xiaoyan Bian ◽  
Yingjie Zhang ◽  
Yingmin Ma ◽  
Lizhi Zhao ◽  
Xiongkui Zhang
Keyword(s):  
Frequency Modulation ◽  
Isar Imaging ◽  
Space Objects ◽  
Stepped Frequency
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