@inproceedings{06f84b80148544a2b799353580a2da61,
title = "Parameters Estimation of Precession Cone Target Based on Micro-Doppler Spectrum",
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.",
keywords = "Micro-Doppler features, Precession parameters estimation, Procession cone target, Search method",
author = "Wang, \{Ming Feng\} and Liu, \{Ai Jun\} and Wang, \{Lin Wei\} and Yu, \{Chang Jun\}",
note = "Publisher Copyright: {\textcopyright} 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017 ; Conference date: 05-08-2017 Through 06-08-2017",
year = "2018",
doi = "10.1007/978-3-319-73447-7\_55",
language = "英语",
isbn = "9783319734460",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "509--517",
editor = "Bo Li and Xuemai Gu and Gongliang Liu",
booktitle = "Machine Learning and Intelligent Communications - Second International Conference, MLICOM 2017, Proceedings",
address = "德国",
}