Research on Fault Feature Extraction for Radar Transmitter Based on HHT

摘要：

　　In order to overcome the difficult in extracting the fault feature of nonlinear and non-stationary signal in radar transmitter,the concepts of Instantaneous Frequency (IF) and Intrinsic Mode Function (IMF),and the specific process of Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD) based on Hilbert-Huang Transform (HHT) is introduced.HHT is applied in fault feature extraction for radar transmitter in this paper.The rectifier and filter circuit of switching power supply in radar transmitter is simulated for getting the IMF of fault voltage signal by EEMD,and the IF by Hilbert Transform.Simulation result shows that HHT can fully detect the fault feature and accurately locate the fault signal of radar transmitter,and it has the high reliability in fault feature extraction.

关键词： Hilbert-Huang Transform radar transmitter fault feature extraction Ensemble Empirical Mode Decomposition

作者: Liujun Wang Changjin Liu

作者单位: New Star Research Institute of Applied Technology Hefei,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 598-601

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）