Moving vehicle classification based on micro-Doppler signature

Author

Li, Yanbing ; Du, Lan ; Liu, Hongwei

Author_Institution

Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China

fYear

2011

fDate

14-16 Sept. 2011

Firstpage

1

Lastpage

4

Abstract

Micro-Doppler information contained in the returned echo reflects the special structure of moving vehicles and can be utilized to discriminate wheeled vehicle and tracked vehicle. In this paper, generalized matched filter is employed to suppress clutter and a preprocessing is used to eliminate the influence of bulk velocity for Doppler spectrum firstly. Then features which depict the distinction between the wheeled and tracked vehicles are extracted and experimental results based on extracted features are presented.

Keywords

Doppler radar; feature extraction; matched filters; radar clutter; radar signal processing; Doppler spectrum firstly; bulk velocity influence; feature extraction; matched filter; microDoppler information; microDoppler signature; radar clutter; tracked vehicle; vehicle classification; wheeled vehicle discrimination; Clutter; Doppler effect; Feature extraction; Radar tracking; Scattering; Vehicles; adaptive clutter suppression; feature extraction; micro-Doppler; vehicle classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4577-0893-0

Type

conf

DOI

10.1109/ICSPCC.2011.6061714

Filename

6061714