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朱炬波
发布日期:
Zhu Jubo (National University of Defense Technology,Changsha 410073)
Published:
Supported by:
摘要： 利用分数 (形 )布朗运动 (FBM)模型 ,分析了飞行器弹道测量误差数据的分形特性 ;针对弹道测量数据的特点 ,提出了一种新的确定无标度区间的方法。仿真与实测数据处理结果表明 ,该方法精度较高 ,实用性好。利用 FBM模型估计了大量实测数据的分形维数 ,估计结果表明 :弹道测量残差数据的分形特性反映了测量环境和目标物理特性
关键词: 弹道测量, 误差分析, 数学模型
Abstract: Based on Fractal Brownian Motion (FBM) model,tracking residual data for vehicle is processed.According to the characteristics of the data,a new method to get the scale interval is present,which is more accurate.Simulating and actual results show that the method has high precision and is easily used in practise.Using FBM model and the method the fractal dimensions for many data are estimated.The results show that fractal dimension of data from tracking vehicle by firing liguid is less than that by firing solid.
朱炬波. 弹道测量误差的分形分析[J]. .
Zhu Jubo (National University of Defense Technology,Changsha 410073). Fractal Analysis of Tracking Residual Data for Vehicle[J]. .
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