采用Pad啨插值技术 ,对计算获得的、稀疏的响应点值进行逼近 ,然后用获得的有理逼近式计算宽范围内响应曲线。把最小二乘法和插值技术结合起来 ,充分利用已有信息、达到最佳逼近的效果。同时自适应和精确地逼近响应曲线 ,引入了统计推断的办法。在统计推断的约束和判断下 ,实现了自适应的Pad啨插值逼近思煅榉椒ǖ恼沸?,应用了混合插值技术 ,对FDTD法计算获得的、稀疏的RCS频率和角度响应曲线进行了逼近 ,在统计推断办法的约束和判断下 ,获得了很好的效果 The Pad 啨 interpolation technique is used to approximate the sparse response point values. Then the rational response formula is used to calculate the response curve over a wide range. The least square method and interpolation techniques combine to make full use of existing information to achieve the best approximation effect. At the same time adaptive and accurate approximation of the response curve, the introduction of a statistical method of inference. Under the constraints and judgments of statistical inference, the adaptive Pad 啨 interpolation is implemented to approximate the problem of ǖ, 混,,,,,,,,,,, 应 应 应 应, 应 应 应 应 应 应 混 混 RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC RC The curve is approximated, and with the constraints and judgments of statistical inference methods, good results are obtained