Intelligent analysis of radar data based on fuzzy transforms

Authors

  • S. Solonskaya
  • V. Zhyrnov

DOI:

https://doi.org/10.30837/rt.2018.1.192.04

Keywords:

radar data, fuzzy transform, functional dependence, radar marks, intelligent analysis

Abstract

It is proposed to use a fuzzy transform apparatus for the analysis of radar data in the form of coordinates of marks and their virtual images formed on the basis of useful and interfering signals, and which are considered as fuzzy samples and sets. It is shown how this approach can be used to identify the functional (semantic) dependencies between components of the radar data.

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https://www.scopus.com/record/display.uri?eid=2-s2.0-84995426662&origin=resultslist&sort=plf-f&src=s&sid=A6C2D44B7FC76E3A2FFEE3FD6D86C232.wsnAw8kcdt7IPYLO0V48gA%3a450&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2814024932000%29&relpos=0&citeCnt=0&searchTerm

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Published

2018-03-30

How to Cite

Solonskaya, S., & Zhyrnov, V. (2018). Intelligent analysis of radar data based on fuzzy transforms. Radiotekhnika, 1(192), 28–33. https://doi.org/10.30837/rt.2018.1.192.04

Issue

No. 192 (2018): Radiotekhnika

Section

Articles

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