摘要
基于具有目的域的武器系统平台,以各态历经的正态随机穿越过程Z(k)的概率密度函数f(x)为基础,针对状态样本空间进行等概率分割网格化,研究了梯形和综合积分2种等概率分割网格化算法。与传统等间隔分割算法相比,等概率分割网格化算法可优化求解概率转移阵的计算量,从而提高了由概率转移阵计算推导出武器系统首发命中率。
Based on the weapon system platform with the target area, and the probability density f（x） of the normal random crossing process Z（k） , equiprobable division networking algorithm of trapezoid and comprehensive approximation are researched by the equiprobable division networ-king for the state of the sample space. The equiprobable division networking algorithm is com-pared with the traditional interval division algorithm, the equiprobable division networking algo-rithm can reduce the amount of calculation of the probability transform matrix and improve the first round hit rate by the probability transfer matrix.
出处
《指挥信息系统与技术》
2017年第2期66-70,共5页
Command Information System and Technology
基金
国家自然科学基金(61104197)资助项目
关键词
目的域
概率转移阵
等概率分割
首发命中率
target area
probability transform matrix
equiprobable division
first round hit rate
