Bispectrum-based radar target classification

Author

Hongbing, Ji ; Jie, LI ; Weixin, Xie ; Wei, He

Author_Institution

Sch. of Electr. Eng., Xidian Univ., Xi´´an, China

fYear

1998

fDate

1998

Firstpage

419

Abstract

With the good performance of higher-order spectra (HOS) techniques for non-Gaussian signal processing and Gaussian noise suppression capability, an AR model parametric bispectrum estimation is presented for conventional radar target return analysis. A reasonable selection of target bispectrum features is made with a formation of target feature vector for target classification. The classification experimental results-on-actual target returns are given, with satisfactory results

Keywords

Gaussian noise; autoregressive processes; feature extraction; interference suppression; parameter estimation; radar interference; radar signal processing; radar target recognition; spectral analysis; AR model; Gaussian noise suppression; bispectrum; higher-order spectra; non-Gaussian signal processing; parametric bispectrum estimation; performance; radar target classification; radar target return analysis; target feature vector; Data mining; Gaussian noise; Gaussian processes; Helium; Higher order statistics; Modems; Performance analysis; Radar scattering; Radar signal processing; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4325-5

Type

conf

DOI

10.1109/ICOSP.1998.770240

Filename

770240