@inproceedings{de317f33e23846efad6a185d51bb4f6c,
title = "Application of Gaussian complex wavelet in PIO detection",
abstract = "The validity and feasibility of Gaussian complex wavelet time-frequency analysis for identifying the Pilot Induced Oscillations (PIO) are studied. The time-frequency relationship of Gaussian complex wavelet is researched, and both Gaussian and Hyperbola-Gaussian complex wavelet filters are structured. A set of the character and judging rules for identifying PIO is determined. An event of flight recorded lateral PIO time history are processed and analyzed for demonstrating the feasibility of real time PIO detection. The results indicate that both Gaussian and Hyperbola-Gaussian complex wavelets can identify PIO accurately, but the later is better in real-time PIO detecting. The roll rate is more effective than roll angle in timely PIO detection.",
keywords = "Hyperbola-Gaussian Complex Wavelet, Pilot Induced Oscillation Detection, Wavelet Time-Frequency Analysis",
author = "Tian, {Fu li} and Gao, {Zheng hong} and Yu, {Zhi gang}",
year = "2006",
language = "英语",
isbn = "9781604232271",
series = "ICAS-Secretariat - 25th Congress of the International Council of the Aeronautical Sciences 2006",
publisher = "International Council of The Aeronautical Sciences (ICAS)",
pages = "3116--3123",
booktitle = "ICAS-Secretariat - 25th Congress of the International Council of the Aeronautical Sciences 2006",
note = "25th Congress of the International Council of the Aeronautical Sciences 2006 ; Conference date: 03-09-2006 Through 08-09-2006",
}