Feature extraction for radar target recognition using time sequences of radar cross section measurements

Author

Xiaohui Xiang ; Xiaojian Xu

Author_Institution

Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China

Volume

03

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

1583

Lastpage

1587

Abstract

The radar cross section (RCS) signatures are not only related to the scattering structure of targets, but also related to the modulation of target micro-motion. In this paper, a feature extraction procedure for radar target recognition based on Mellin transform of the time sequences of RCS measurements is proposed. The mathematical relationship between target scattering distribution in the cross range and the RCS amplitude is derived and analyzed. The RCS features of targets are extracted using sequential method. Finally the feasibility of target recognition using Mellin transform and the accuracy of the algorithm are shown by simulated data sets.

Keywords

feature extraction; radar cross-sections; radar target recognition; transforms; Mellin transform; RCS signatures; feature extraction procedure; mathematical relationship; radar cross section measurements; radar target recognition; sequential method; target micro-motion; target scattering distribution; time sequences; Feature extraction; Radar cross-sections; Radar scattering; Target recognition; Transforms; Mellin transform; RCS; radar signatures; scattering distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2013 6th International Congress on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-2763-0

Type

conf

DOI

10.1109/CISP.2013.6743928

Filename

6743928