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31 December 2019 A rotor feature extraction method with clutter suppression and high precision
Bixuan Jiao, Rui Yibin, Meng Gao, Haifeng Fei, Qing Yu
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Proceedings Volume 11384, Eleventh International Conference on Signal Processing Systems; 113840F (2019) https://doi.org/10.1117/12.2559556
Event: Eleventh International Conference on Signal Processing Systems, 2019, Chengdu, China
Abstract
In the process of extracting rotor features using time-frequency analysis, clutter suppression and improving time-frequency resolution have always been problems that need to be solved and improved. The paper proposes a rotor feature extraction method with high time-frequency resolution that can suppress clutter. Firstly, the separation of the micro-motion target and the clutter is realized by the complex empirical mode decomposition (CEMD). The high-resolution time-frequency diagram of the rotor is obtained by the synchrosqueezing improved S transform (SIST) proposed in the paper. The features extracted from the diagram are of high accuracy. The simulation results show that this method (CEMD-SIST) has better clutter suppression performance and higher time-frequency resolution than other rotor feature extraction methods.
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Bixuan Jiao, Rui Yibin, Meng Gao, Haifeng Fei, and Qing Yu "A rotor feature extraction method with clutter suppression and high precision", Proc. SPIE 11384, Eleventh International Conference on Signal Processing Systems, 113840F (31 December 2019); https://doi.org/10.1117/12.2559556
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KEYWORDS
Time-frequency analysis
Feature extraction
Radar
Signal processing
Frequency modulation
Nonlinear optics
Fourier transforms
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