Title :
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
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;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159521
