野值预剔除方法的改进

An Improvement Method for Data Preprocess

在初轨有较大误差时,传统的光学资料野值预剔除方法——截断最小二乘L估 计法不能有效地剔除野值．从门限和模型两方面改进野值预处理方法,即改用统计中误差 定门限．将残差的线性模型改为2次曲线模型,结果为:对于模拟产生的所有卫星弧段, 在初轨有10-4(半长轴α为其5％,以下不再说明)误差情况下,野值比例都能降低到10％ 以下．

When initial orbit errors are too big, the traditional optical data preprocess method-interceptive least-square L-estimation method can not delete outliers effectively. This method is improved by thresholds and model： the thresholds are determined by statistical mean error; the linear model is changed to quadratic curve model. The conclusions are： for all satellite passes which are simulated, when the initial orbit error is 10^-4（semi-major is 5 percent of it, which don＇t explain in the following）, the proportion of outliers is reduced less than 10% in all cases.