Estimation of precession period based on nonparametric statistics

被引:0
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作者
Wei, Xi-Zhang [1 ]
Yao, Hui-Wei [1 ]
Ding, Xiao-Feng [1 ]
Li, Xiang [1 ]
机构
[1] School of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, China
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关键词
Ballistics; -; Statistics;
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摘要
This paper is for the identification from the RCS sequence of the midcourse missile. First, we analyzed the statistic and periodic characteristic of the RCS sequence, and pointed out the false period caused by the target's fluctuant RCS was the main factor that influence the traditional method of estimation of the period. Then a new method to estimate the precession cycle based on nonparametric statistics theory is proposed. The simulation result shows that the method can solve the false period problem effectively by accumulating the results of the variational interval Kruskal-Wallis test and improve the performance of the estimation.
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页码:135 / 140
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