Individual RFI classification based on chaotic characteristics

Author

Chen, Rongbing ; Qian, Lichang ; Jia Xu ; Sun, Wenfeng ; Peng, Yingning

Author_Institution

Dept. Of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

1

fYear

2011

fDate

24-27 Oct. 2011

Firstpage

242

Lastpage

245

Abstract

This paper provides an efficient approach to classify individual radio-frequency interference in high-frequency radars. By employing empirical mode decomposition as signal pre-process method, stable chaotic characteristics of individual radio-frequency interference are extracted. Based on these stable characteristics and treelike assembly classifier, individual radio-frequency interference can be effectively classified. Detailed real data experiments are finally provided to demonstrate the effectiveness of the proposed method.

Keywords

chaos; radar signal processing; radiofrequency interference; RFI classification; empirical mode decomposition; high-frequency radar; radio-frequency interference; signal preprocess method; stable chaotic characteristics; treelike assembly classifier; Chaos; Correlation; Entropy; Feature extraction; Interference; Radio transmitters; Transient analysis; EMD; chaotic characteristics; individual RFI classification; treelike assembly classifier;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar (Radar), 2011 IEEE CIE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8444-7

Type

conf

DOI

10.1109/CIE-Radar.2011.6159521

Filename

6159521