【摘要】 讨论了奇异型发射包线的处理在包线拟合中的重要性 ,针对过分奇异型包线的特点 ,提出了基于用压缩存储的样本包线直接进行模糊推理的处理方法。结合多关系式拟合 -插值法和模糊逻辑逼近法 ,形成一套高精度、快速且内存需求量较少的奇异包线处理方法。仿真结果表明 ,该方法能有效地解决奇异型包线拟合时速度、精度和存储量之间的矛盾更多还原

【Abstract】 Approximation of singular MLE is important for broadening the fire scope of air to air missiles. The existing methods for such appoximation are not good enough in handling the conflicts between its fitting accuracy and its computational overhead. We present a method to solve this problem. Becaus MLE sample data are often given by table functions of approach angles, and singular MLE data are often much more sparse than others, we can first compress and store the singular MLE sample data, then construct the real singular MLEs from the sample data. In subsection 2.1, we described an efficient and accurate method for compressing/decompressing the sample data. In subsection 2.3, we described a fuzzy inference based method for constructing a real singular MLE from the sample data. Figs.1 through 4 give the simulation results. They show that our method can greatly reduce the computational overhead while achieving a quite satisfactory fitting accuracy.更多还原