Individual RFI classification based on chaotic characteristics

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.