Target Classification and Pattern Recognition Using Micro-Doppler Radar Signatures

Author

Yang, Yinan ; Lei, Jiajin ; Zhang, Wenxue ; Lu, Chao

Author_Institution

Dept. of Comput. & Inf. Sci., Towson Univ., MD

fYear

2006

fDate

19-20 June 2006

Firstpage

213

Lastpage

217

Abstract

Micro-motions, such as vibrations or rotations of an object or structures on the object, induce additional frequency modulations on returned radar signal, which generates sidebands about the object´s Doppler frequency, called micro-Doppler by V.C. Chen et al. (2002). In this paper, we investigated statistical classification methods for target classification using their micro-Doppler signatures. At this stage only simulated data are studied, and two models are used to generate simulation data: point scatter model and RCS model. Both models are tested and compared for their performance on target classification

Keywords

Doppler radar; radar cross-sections; radar signal processing; radar target recognition; statistical analysis; Doppler frequency; frequency modulation; micro-Doppler radar signature; pattern recognition; point scatter model; radar cross-section model; statistical classification method; target classification; Engine cylinders; Frequency; Independent component analysis; Pattern recognition; Radar cross section; Radar scattering; Reflection; Space vector pulse width modulation; Target recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2006. SNPD 2006. Seventh ACIS International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

0-7695-2611-X

Type

conf

DOI

10.1109/SNPD-SAWN.2006.68

Filename

1640692