NDLI: Robust and fast algorithm for estimating fundamental periodicity of jet engine modulation signals

Content Provider	IET Digital Library
Author	Yong, Yang Woo Hoon, Park Ji Young, Song Won Hoon, Myung Noh
Abstract	Jet engine modulation (JEM), a modulation phenomenon induced by a rotating jet engine compressor, is a representative feature extracted from the radar for aircraft target recognition. In this study, the authors present a robust and fast algorithm for extracting the spool rate, which imparts fundamental periodicity to JEM signals. First, a wavelet decomposition with Meyer wavelet was applied to the analytic form of the JEM signal. Then, the decomposition components were combined to achieve a sufficient energy and minimise the mean of the JEM auto-correlation. Finally, the peak detection algorithm was employed for automatic estimation of the spool rate. Application results of measured JEM signals demonstrated that the proposed algorithm is effective for stable and accurate extraction of the jet engine information.
Starting Page	1286
Ending Page	1294
Page Count	9
ISSN	17518784
Volume Number	10
e-ISSN	17518792
Issue Number	Issue 7, Aug (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/10/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0526
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-03-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Aircraft Target Recognition Automatic Spool Rate Estimation Compressors Correlation Method Decomposition Component Fast Algorithm Feature Extraction Fundamental Periodicity Estimation Integral Transforms JEM Auto-correlation JEM Signal Jet Engine Modulation Signal Jet Engines Meyer Wavelet Object Recognition Peak Detection Algorithm Radar Detection Radar Equipment Radar Target Recognition Representative Feature Extraction Robust Algorithm Rotating Jet Engine Compressor Signal Detection Spool Rate Extraction System And Application Wavelet Decomposition Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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