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射程修正引信弹道辨识算法精度分析
引用本文:申强,李世义,李东光,廖伟平.射程修正引信弹道辨识算法精度分析[J].北京理工大学学报,2005,25(1):5-8.
作者姓名:申强  李世义  李东光  廖伟平
作者单位:北京理工大学,机电工程学院,北京,100081;北京理工大学,机电工程学院,北京,100081;北京理工大学,机电工程学院,北京,100081;北京理工大学,机电工程学院,北京,100081
摘    要:研究用于射程修正引信的基于弹道上升段速度时间序列的弹道辨识算法精度.分析引起射弹散布的原因,选取初速和射角作为建立随机概率模型的初始参数.根据蒙特卡洛计算机模拟理论和方法,利用初始参数的随机值和弹道方程生成随机弹道作为实际弹道.利用弹道辨识算法对实际弹道进行辨识,比较辨识射程与实际射程得到弹道辨识算法误差.仿真结果表明,弹道辨识算法计算误差不大于0.1%.

关 键 词:射程修正引信  弹道辨识算法精度  蒙特卡洛模拟  随机模型
文章编号:1001-0645(2005)01-0005-04
收稿时间:2004/3/30 0:00:00
修稿时间:2004年3月30日

Analysis of the Precision of the Trajectory Identification Algorithm of a Course Correction Fuze
SHEN Qiang,LI Shi-yi,LI Dong-guang and LIAO Wei-ping.Analysis of the Precision of the Trajectory Identification Algorithm of a Course Correction Fuze[J].Journal of Beijing Institute of Technology(Natural Science Edition),2005,25(1):5-8.
Authors:SHEN Qiang  LI Shi-yi  LI Dong-guang and LIAO Wei-ping
Institution:School of Mechatronics Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechatronics Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechatronics Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechatronics Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:The precision of a trajectory identification algorithm of a course correction fuze based on the velocity-time data of the projectile ascending trajectory is studied. The reason of the projectile dispersion is analyzed and the initial velocity and elevation angle are taken as the initial parameter to formulate the random mathematic model. Based on the theory and method of Monte Carlo simulation, random trajectory is computed by solving the ballistic equations with random initial parameter inputs. The calculated trajectory is identified by the trajectory identification algorithm. The error of the algorithm can be obtained by comparing the ranges of the identified trajectory and the calculated trajectory. The conclusion is that the precision of the trajectory identification algorithm is better than 0.1%.
Keywords:course correction fuze  precision of the trajectory identification algorithm  Monte Carlo simulation  random mathematic model
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