变区间分组检验相乘积累进动周期估计

Estimation of Precession Period Based on Nonparametric Statistics

该文首先分析了弹道中段进动锥体目标RCS序列的统计特性及其周期性特点,指出目标本身RCS起伏产生的虚假周期是影响传统进动周期估计方法性能的主要因素.基于非参数统计理论,本文提出了一种变区间分组检验相乘积累的RCS序列进动周期估计方法,仿真结果表明,该方法不仅能够有效克服虚假周期影响,并能明显改善进动周期估计精度.

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.