The identification of radar signals by histogram description leads to cluster analysis processing

Author

Zak, Jan ; Zavorka, Petr

Author_Institution

Univ. of Defence, Brno, Czech Republic

fYear

2014

fDate

16-18 June 2014

Firstpage

1

Lastpage

4

Abstract

Article deals with current situation of the histogram use. Overwhelming majority of ELINT systems applies histogram depiction in their analytic displays. Significant majority of distinguished radar signals experts use their advantageous function. This contribution shows breaking approach in histogram description via Gaussian function. Particular parts are aimed into creation of data library. This is followed by experimental demonstration of real data sample histograms which leads to cluster analysis processing. Next part is dedicated to cluster processing and useful tools for testing cluster algorithms - SW tools Orange and WEKA.

Keywords

Gaussian processes; radar signal processing; statistical analysis; ELINT systems; Gaussian function; Orange; SW tools; WEKA; cluster analysis processing; data library; histogram description; radar signals; real data sample histograms; Educational institutions; Histograms; Libraries; Machine learning algorithms; Radar; Shape; Vectors; ELINT; cluster analysis; histogram; signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Symposium (IRS), 2014 15th International

Conference_Location

Gdansk

Print_ISBN

978-617-607-552-3

Type

conf

DOI

10.1109/IRS.2014.6869267

Filename

6869267