A histogram based radar signal identification process

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F17%3A74540" target="_blank" >RIV/60460709:41330/17:74540 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/IRS.2017.8008204" target="_blank" >http://dx.doi.org/10.23919/IRS.2017.8008204</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/IRS.2017.8008204" target="_blank" >10.23919/IRS.2017.8008204</a>

Result language
angličtina
Original language name
A histogram based radar signal identification process
Original language description
The article deals with the current situation of histogram use. The overwhelming majority of ELINT systems apply histogram depiction in their analytic displays. A significant majority of distinguished radar signals experts use this advantageous function. This contribution shows a breakthrough approach in histogram description via a Gaussian function. Specific sections are aimed at the creation of a data library. This is followed by the experimental demonstration of real data sample histograms and their identification process, which is implemented by a mathematical model of the identification process.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Radar Symposium IRS 2017 Processing
ISBN
978-3-7369-9343-3
ISSN
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e-ISSN
—
Number of pages
9
Pages from-to
1-9
Publisher name
International Radar Symposium IRS 2017
Place of publication
Praha
Event location
Praha
Event date
Jun 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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