Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges

This article presents nonlinear radar signal processing method to form an image of the Earth's surface. The method proposes to match the dynamic ranges of the received signal and of the visualization device. The essence of the method is adaptive nonlinear signal processing, which provides bette...

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Main Authors: Vitaliy Garmash, Yuriy Petrov, Andrey Andreev, Anatoly Zaitsev
Format: Article
Language:English
Published: International Journal of Mathematical, Engineering and Management Sciences 2019-12-01
Series:International Journal of Mathematical, Engineering and Management Sciences
Subjects:
Online Access:https://www.ijmems.in/assets//114-IJMEMS-18-Y15-Vol.%204,%20No.%206,%201448%E2%80%931458,%202019.pdf
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spelling doaj-45b13a203d8f4d84940d8391fdab44462020-11-25T02:43:26ZengInternational Journal of Mathematical, Engineering and Management SciencesInternational Journal of Mathematical, Engineering and Management Sciences2455-77492455-77492019-12-014614481458Adaptive Matching of the Radar Signal and Image Display Device Dynamic RangesVitaliy Garmash0Yuriy Petrov1Andrey Andreev2Anatoly Zaitsev3Department of Radio Electronic Systems, Baltic State Technical University «VOENMEH», St. Petersburg, 190005, RussiaDepartment of Radio Electronic Systems, Baltic State Technical University «VOENMEH», St. Petersburg, 190005, RussiaDepartment of Technosphere Safety, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, 195220, RussiaDepartment of Technosphere Safety, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, 195220, RussiaThis article presents nonlinear radar signal processing method to form an image of the Earth's surface. The method proposes to match the dynamic ranges of the received signal and of the visualization device. The essence of the method is adaptive nonlinear signal processing, which provides better local contrast of radar images and improves discrimination of individual objects. The computational complexity of the proposed algorithm is optimized and allows real-time implementation in the airborne computing systems with limited computational power. Objects with large RCS merged into large illuminated "spots"; their visibility on the surrounding background has been reduced, unwanted effects are due to the fact that the above algorithms have a single point effect. To overcome the problems, the «Retinex» algorithm is usually used. They do not take into account the local neighborhood of pixels; therefore, in cases where the image contains both highly dark and strongly light local areas, these algorithms cannot provide high-quality matching of dynamic ranges.https://www.ijmems.in/assets//114-IJMEMS-18-Y15-Vol.%204,%20No.%206,%201448%E2%80%931458,%202019.pdfRadar signalRadar cross-sectionDigital image processingNonlinear processingAdaptive contrasting
collection DOAJ
language English
format Article
sources DOAJ
author Vitaliy Garmash
Yuriy Petrov
Andrey Andreev
Anatoly Zaitsev
spellingShingle Vitaliy Garmash
Yuriy Petrov
Andrey Andreev
Anatoly Zaitsev
Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges
International Journal of Mathematical, Engineering and Management Sciences
Radar signal
Radar cross-section
Digital image processing
Nonlinear processing
Adaptive contrasting
author_facet Vitaliy Garmash
Yuriy Petrov
Andrey Andreev
Anatoly Zaitsev
author_sort Vitaliy Garmash
title Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges
title_short Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges
title_full Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges
title_fullStr Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges
title_full_unstemmed Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges
title_sort adaptive matching of the radar signal and image display device dynamic ranges
publisher International Journal of Mathematical, Engineering and Management Sciences
series International Journal of Mathematical, Engineering and Management Sciences
issn 2455-7749
2455-7749
publishDate 2019-12-01
description This article presents nonlinear radar signal processing method to form an image of the Earth's surface. The method proposes to match the dynamic ranges of the received signal and of the visualization device. The essence of the method is adaptive nonlinear signal processing, which provides better local contrast of radar images and improves discrimination of individual objects. The computational complexity of the proposed algorithm is optimized and allows real-time implementation in the airborne computing systems with limited computational power. Objects with large RCS merged into large illuminated "spots"; their visibility on the surrounding background has been reduced, unwanted effects are due to the fact that the above algorithms have a single point effect. To overcome the problems, the «Retinex» algorithm is usually used. They do not take into account the local neighborhood of pixels; therefore, in cases where the image contains both highly dark and strongly light local areas, these algorithms cannot provide high-quality matching of dynamic ranges.
topic Radar signal
Radar cross-section
Digital image processing
Nonlinear processing
Adaptive contrasting
url https://www.ijmems.in/assets//114-IJMEMS-18-Y15-Vol.%204,%20No.%206,%201448%E2%80%931458,%202019.pdf
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AT yuriypetrov adaptivematchingoftheradarsignalandimagedisplaydevicedynamicranges
AT andreyandreev adaptivematchingoftheradarsignalandimagedisplaydevicedynamicranges
AT anatolyzaitsev adaptivematchingoftheradarsignalandimagedisplaydevicedynamicranges
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