相关干涉仪测向剔除相位差野值方法比较分析

Comparison and Analysis of Phase Difference Outlier Eliminating Algorithms in Correlation Interferometer Direction Finding

剔除相关干涉仪测向相位差野值可以提高测向精度。针对相关干涉仪测向,本文比较了区间估计剔除法、菜特准则法、随机误差协调的指数平滑滤波法和极坐标剔除野值法四中剔除野值方法,通过仿真实验,结果表明在相同的信噪比和采样点条件下,指数平滑滤波法和极坐标剔除野值法效果较好。

The precision of direction finding can be improved by eliminating phase difference outliers of a correlation interferometer. As for correlation interferometer direction finding, this pa- per compares the four methods of outlier elimination including interval estimation, Lyite rule, exponential smoothing and filtering, and polar coordinate transforming. The simula- tion test shows that the methods of exponential smoothing and filtering and polar coordinate transforming are better than the two others under the condition of same SNR and same sampling points.