针对在毫米波全息成像算法过程中像素点存在一定程度的发散、分辨清晰度不够高的问题, 提出Stolt插值优化算法, 该算法根据单元格内各个数据点与中心的距离, 取加权平均值进行插值。与传统的插值算法相比较, 该算法使得各个像素点进一步收敛, 成像更加清晰, 同时计算量不会有较大的变化。最后通过横断面仿真实验证明了该算法的有效性。

To solve the problems that the pixels in the millimeter-wave holographic imaging algorithm have a certain degree of divergence and that the resolution sharpness is not high enough, a Stolt interpolation optimization algorithm is proposed. According to the distance between each data point in the cell and the center, a weighted average value is used for interpolation. Compared with the traditional interpolation algorithm, the algorithm makes each pixel further converge, and the imaging clearer, while the amount of computation will not be greatly changed. Finally, the cross-section simulation experiment proves the effectiveness of the algorithm.