Research on Fault Feature Extraction for Radar Transmitter Based on HHT

Abstract

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.