摘要
有关文献报道Neyer-D最优化法在感度试验中可获得与标准感度试验一样的精度,而且所需样品数量较少,为此,希望将其引入引信解除保险距离试验中。分析表明Neyer-D法试验水平的选择与常用试验方法区别较大,不再是相对独立的选择过程,而是利用当前的全部试验结果来计算下一个刺激水平。蒙特卡罗仿真结果证明:Neyer法对引信极端解除保险概率点的估计更接近于真值,精度更好。
This paper applied Neyer-D optimality method to fuze arming distance testing which needed fewer samples than standard sensitivity testing method.Analysis showed that the testing level selection which was dependent on all current data for Neyer D-optimality method was greatly different from traditional methods,which was no longer independent,but using all the testing results to culculate next stimulating level.The simulation results showed that Neyer-D optimality method had a better estimation result on fuze extreme arming distance testing than Langlie method.
出处
《探测与控制学报》
CSCD
北大核心
2010年第5期34-37,共4页
Journal of Detection & Control