探讨了中长基线GPS观测值随机特性的评估方法,先采用历元间高次差分的高通滤波算法有效地消除低频系统误差,只保留高频噪声;然后建立评估中长基线观测值精度、交叉相关性和时间相关性的数学模型。实测数据计算分析了GPS观测值的精度与高度角的关系、不同类型观测值的交叉相关性以及各类观测值的时间相关性。
We develop a new strategy for evaluating the GPS stochastic model in long baseline scenario. Firstly, we employ high frequency pass filtering of multiple differences in time domain to efficiently eliminate the systematic biases. Then, the mathematic models are proposed to assess the different aspects of GPS stochastic characteristics. Finally, the real GPS data is used to demonstrate the performance of the developed models. The findings can benefit the quality evaluation and integrity of CORS measurements and the quality control of positioning results in rover end.