Research on Fault Feature Extraction for Radar Transmitter Based on HHT

DOI

10.2991/iccsee.2013.153How to use a DOI?

Keywords

Hilbert-Huang Transform, radar transmitter, fault feature extraction, Ensemble Empirical Mode Decomposition

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liujun Wang
AU  - Changjin Liu
PY  - 2013/03
DA  - 2013/03
TI  - Research on Fault Feature Extraction for Radar Transmitter Based on HHT
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 598
EP  - 601
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.153
DO  - 10.2991/iccsee.2013.153
ID  - Wang2013/03
ER  -