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In this paper, we present an automatic algorithm for estimating the spool rate, which imparts fundamental periodicity to jet engine modulation (JEM) signals. First, complex empirical mode decomposition is applied to the analytic form of the JEM signal. Then, the extracted basic components are combined to minimize the mean of the JEM auto-correlation. Finally, the peak detection algorithm is employed...
This paper presents two new approaches for quantitative jet engine localization in high resolution range-jet engine modulation (HRR-JEM) radar images. Whereas one is based on the signal eccentricity, the other is inspired by adaptive chirplet decomposition (ACD). The signal eccentricity serves as a reliable metric for evaluating the JEM contribution to each range bin signal. In addition, the chirplet...
In this paper, we present extraction of vibration components embedded in signatures from rotating propellers. In order to deal with complex-valued signatures, complex empirical mode decomposition (CEMD), an extended version of EMD, is employed to extract the vibration components. With FEKO simulation, we obtain composite signatures induced by both rotation and vibration of the simply modeled propeller...
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