一种改进的Neville型有理式RCS数据插值算法

Improved Interpolation Algorithm for RCS Data With Neville-Type Rational Expression

针对目标RCS数据的插值问题,在充分考虑RCS数据的相关性、插值数据的权重和计算舍入误差对插值结果影响的基础上,提出一种改进的Neville型有理式RCS数据插值算法.仿真结果表明,与传统Neville型有理式算法相比,改进算法降低了计算舍入误差和Runge现象对插值结果的影响,实现了目标RCS数据的高精度插值,为根据测量或计算的样本数据估计任意姿态和频率点的RCS数据提供了一种新的方法.

Directing at the interpolation of radar cross-section（RCS） data,this paper presents an improved interpolation algorithm of the RCS data with Neville-type rational expression,based on taking into account of the influences of the RCS data correlation,the interpolation datum weighting and calculation rounding error on the interpolation results.Simulation results demonstrate that the improved algorithm can reduce the influence of calculation rounding error and Runge phenomenon on the interpolation results,and realize the interpolation with more accuracy,thus,giving a new way for estimating the PCS data at any attitudes and frequency points in terms of the measured or calculated sample data.