一种基于MAD改进的GNSS高程时间序列粗差探测方法

针对GNSS高程时间序列中不可避免地含有粗差，以及在非线性、不平稳性的高程时间序列中粗差难以探测的问题，在传统MAD方法基础上，构建一种引入小波分析的WT-MAD粗差探测方法。利用模拟数据和LHAZ、BJFS、TWTF三个IGS站的实测高程数据进行实验，将WT-MAD法与基于最小二乘的3σ法、IQR法和MAD法进行对比分析。结果表明，新构建的WT-MAD法能够更有效地探测出GNSS高程时间序列中的粗差，可为后续GNSS高程时间序列的分析处理提供更“干净”的数据。

An Improved Gross Error Detection Method for GNSS Elevation Time Series Based on MAD

Aiming at the problem that GNSS elevation time series inevitably contains gross errors, and the difficulty of detecting gross errors in nonlinear and unstable elevation time series, we construct a WT-MAD gross error detection method based on the traditional MAD method, which introduces wavelet analysis. We use experimental simulation data and the measured elevation data of three IGS stations of LHAZ, BJFS, and TWTF to conduct experiments. The WT-MAD method is compared with the 3σ method, the IQR method, and the MAD method based on least squares. The results show that the WT-MAD method established in this paper can more effectively detect gross errors in the GNSS elevation time series and provide more “clean” data for the subsequent analysis and processing of the GNSS elevation time series.