Robust and fast algorithm for extracting the periodic feature from jet engine modulation signals

The Journal of Engineering

Jingming Sun¹  Junpeng Yu¹ 

[1] Nanjing Research Institute of Electronics Technology;

关键词: jet engines;    image processing;    low-pass filters;    radar target recognition;    wigner distribution;    feature extraction;    wavelet transforms;    significant periodic characteristics;    chopping frequency;    logical algorithms;    feature extraction;    robust algorithm;    jem signal;    measured jem signals;    stable extraction;    accurate extraction;    aircraft target recognition;    radar returns;    representative feature;    jet engines;    rotating structure;    modulation phenomenon;    jet engine modulation signals;    periodic feature;    fast algorithm;   

DOI  :  10.1049/joe.2019.0351

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown