Research Article
Parameters Estimation of Precession Cone Target Based on Micro-Doppler Spectrum
@INPROCEEDINGS{10.1007/978-3-319-73447-7_55, author={MingFeng Wang and AiJun Liu and LinWei Wang and ChangJun Yu}, title={Parameters Estimation of Precession Cone Target Based on Micro-Doppler Spectrum}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Procession cone target micro-Doppler features Search method Precession parameters estimation}, doi={10.1007/978-3-319-73447-7_55} }- MingFeng Wang
AiJun Liu
LinWei Wang
ChangJun Yu
Year: 2018
Parameters Estimation of Precession Cone Target Based on Micro-Doppler Spectrum
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_55
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.
