Aerial target classification by micro-Doppler signatures and bicoherence-based features

Author

Molchanov, Pavlo ; Totsky, Alexander ; Astola, Jaakko ; Egiazarian, Karen ; Leshchenko, Sergey ; Rosa-Zurera, M.

Author_Institution

Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland

fYear

2012

Firstpage

214

Lastpage

217

Abstract

The possibility of aerial target classification by extraction of micro-Doppler contributions contained in radar returns is studied. Novel classification features based on time-frequency distribution estimation are proposed in order to increase the aspect-independence property of classifier. Classification probability rates are computed for three different types of aerial targets including helicopter AH-64, aircrafts An-26 and B-52. The benefits achieved by using the proposed classification features are demonstrated and discussed.

Keywords

helicopters; image classification; object detection; radar target recognition; AH-64; An-26; B-52; aerial target classification; aerial targets; aircrafts; aspect-independence property; bicoherence-based features; classification features; classification probability; helicopter; micro-Doppler contributions extraction; micro-Doppler signatures; radar returns; time-frequency distribution estimation; Airborne radar; Aircraft; Feature extraction; Frequency estimation; Radar cross section; Time frequency analysis; Computer vision; doppler effect; jet engines; radar applications;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference (EuRAD), 2012 9th European

Print_ISBN

978-1-4673-2471-7

Type

conf

Filename

6450675