摘要
制导工具误差折合是导弹精度评定中的重要问题，针对传统主成分方法中主要成分选择只考虑试验弹道的问题，提出了充分考虑试验弹道与全程弹道特点的主成分确定方法，并利用遗传算法确定最佳主成分子集。仿真计算表明，与最小二乘和经典主成分方法相比，遗传主成分算法获得的全程弹道遥外差与落点偏差更接近于真实值。
The separation and conversion of guidance instrumentation systematic error（GISE） plays a vital role in the missile precision analysis. The paper presents a new method to determine principal components for conversion which considers sufficiently the testing ballistic trajectory and the whole ballistic trajectory instead of only considering the testing ballistic trajectory. The genetic algorithm is used to select an optimal principal component set. The simulation results show that the new method has a higher converting precision than the least square method and the classical principal component method.
出处
《飞行器测控学报》
2007年第6期54-58,共5页
Journal of Spacecraft TT&C Technology
关键词
精度评定
制导工具误差
最小二乘方法
主成分分析
遗传算法
Precision Assessment
Guidance Instrumentation Error
The Least Squares Method
Principal Component Analysis
Genetic Algorithm
