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Content Provider | IET Digital Library |
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Author | Sun, Jingming Yu, Junpeng |
Abstract | Jet engine modulation (JEM), a modulation phenomenon induced by the rotating structure of jet engines, is a representative feature extracted from the radar returns for aircraft target recognition. As one of the most significant periodic characteristics of JEM, the chopping frequency plays an important role in aircraft target recognition. However, existing methods either need complicated logical algorithms to get an accurate estimation of the chopping frequency or exploit the chopping frequency as priori information for further feature extraction, and neither of these two scenarios is practical. Here, the authors propose a robust and fast algorithm for extracting the chopping frequency, which uses wavelet decomposition combined with autocorrelation to process the analytic form of the JEM signal. Application results of measured JEM signals demonstrate that the proposed algorithm is effective and practical for stable and accurate extraction of the periodic feature from JEM signals. |
Starting Page | 6507 |
Ending Page | 6511 |
Page Count | 5 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 20, Oct (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/20 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0351 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-05-30 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Accurate Extraction Aircraft Target Recognition Chopping Frequency Computer Vision And Image Processing Technique Engines Fast Algorithm Feature Extraction Image Processing Integral Transforms JEM Signal Jet Engine Modulation Signal Jet Engines Logical Algorithm Low-pass Filter Measured JEM Signal Modulation Phenomenon Optical, Image And Video Signal Processing Periodic Feature Radar Equipment Radar Returns Radar Target Recognition Representative Feature Robust Algorithm Rotating Structure Significant Periodic Characteristic Stable Extraction Statistics System And Application Wavelet Transform Wigner Distribution |
Content Type | Text |
Resource Type | Article |
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