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- W2955373352 abstract "Micro-Doppler (m-D) effect, induced by the rotation of rotor blades, introduces significant characteristics to identify small unmanned aerial vehicles (UAVs) in remote surveillance. As opposed to the Doppler signal induced by the translation, m-D signal is comparatively weak and consists of multiple frequency components. In this letter, we propose synchrosqueezing phase analysis (SPA) for the extraction of rotation signal with the multichannel radar. Based on the proposed signal model, this new method not only enables multivariate denoising and sharpening time-frequency (TF) representation, but also concentrates on the energy of rotation signal for the separation. Simulations are employed to demonstrate the validity of the proposed method in extracting the m-D features. Applications on field data further prove the potential in delineating m-D characteristics with higher precision and render that this technique is promising for the identification of small UAVs." @default.
- W2955373352 created "2019-07-12" @default.
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- W2955373352 date "2020-03-01" @default.
- W2955373352 modified "2023-10-14" @default.
- W2955373352 title "Synchrosqueezing Phase Analysis on Micro-Doppler Parameters for Small UAVs Identification With Multichannel Radar" @default.
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- W2955373352 doi "https://doi.org/10.1109/lgrs.2019.2924266" @default.
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