Abstract
This paper proposed a method for extracting the physical parameters of helicopter rotors through processing micro-Doppler time-frequency spectrum. We applied image filtering and image segmentation to the time-frequency spectrum of narrow-band RCS data so as to reduce background noise, improve the definition of the spectrum and accurately extract the time-frequency signal line. Then, the parameters such as rotation period, blade length and blade count of the helicopter rotor could be derived directly from the time-frequency signal line, which can be employed to identify the type or even the model of helicopter target. This method solved the problem that the physical parameters of helicopter rotor cannot be extracted precisely from narrow-band RCS data. The simulation results verified the effectiveness of the approach.
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Lai, C., Zhou, D. (2020). Extraction of Helicopter Rotor Physical Parameters Based on Time-Frequency Image Processing. In: Wang, L., Wu, Y., Gong, J. (eds) Proceedings of the 6th China High Resolution Earth Observation Conference (CHREOC 2019). CHREOC 2019. Lecture Notes in Electrical Engineering, vol 657. Springer, Singapore. https://doi.org/10.1007/978-981-15-3947-3_3
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DOI: https://doi.org/10.1007/978-981-15-3947-3_3
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