Abstract
The micro-Doppler (m-D) provides valuable information for the motion parameters extraction and the target recognition of space targets. To address the issue of estimating the motion parameters of precession warhead targets, a new method based on the m-D spectrum of the top and the bottom of the cone is proposed in this paper. In this method, the m-D features of the cone target are firstly extracted by calculating the first-order moments of the time-frequency distribution of the echo signal. Then, the motion parameters of the target are roughly estimated by the Fourier transformation of the m-D curve. Based on the rough estimation, the search method is employed to estimate the motion parameters of the cone target precisely. The validity of the proposed method is verified by the analysis data.
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Acknowledgments
This project is sponsored by the National Marine Technology Program for Public Welfare (No. 201505002), the National Natural Science Foundation of China (No. 61571157) and the Subject Guide Fund of Harbin Institute of Technology at Weihai (No. WH20150111).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, M., Liu, A., Wang, L., Yu, C. (2018). Parameters Estimation of Precession Cone Target Based on Micro-Doppler Spectrum. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_55
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DOI: https://doi.org/10.1007/978-3-319-73447-7_55
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