利用半参数模型分离GPS基线中的系统误差
Separating Systematical Errors in GPS Baselines Using Semi-parametric Model
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摘要: 采用了两个新的正则化矩阵来分离高精度GPS基线向量处理中的系统误差,一是利用时间序列法选择的正则化矩阵;二是应用平稳随机过程的自协方差函数从双差观测值中提取的正则化矩阵。算例结果表明,本文选择的两种正则化矩阵处理的过程相对简单,速度快。Abstract: Two new regularizers are employed to separate systematical errors in GPS baselines.The first one is chosen using time series method, and the second is obtained from measurements using the autocovariance function of the stationary stochastic process.Example results show that the two regularizers of this paper are simple,so the process of resolving the high precision baseline is as well as simple.