To analyze the unmodeled systematic errors in BDS, a filter‐assisted Partly Ensemble Empirical Mode Decomposition (PEEMD) method is combined with Hilbert spectrum analysis to extract the feature information from BDS preprocessed orbit determination residuals (PODR). The results show that the feature extraction method can effectively extract a period of about 1 day for GEO/IGSO satellites and a period of about 13 h for MEO satellites. The results of the chi‐square test show that the remaining PODR follow a normal distribution. Statistical results from the 3‐day experiment indicate that the application of the extracted feature information for BeiDou‐only SPP improves positioning accuracy by 20%, 19%, and 23% in the east, north, and upward directions, respectively. BeiDou‐only PPP experiments show that the application of the extracted feature information reduces the static PPP convergence time by 34%, 10%, and 21% and the kinematic PPP convergence time by 25%, 11%, and 9% in three coordinate components, respectively.

中文翻译：

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从BDS轨道确定残差中提取未建模的系统误差及其在SPP / PPP中的应用。

为了分析BDS中未建模的系统误差，将滤波辅助的部分集成经验模式分解（PEEMD）方法与希尔伯特频谱分析相结合，以从BDS预处理的轨道确定残差（PODR）中提取特征信息。结果表明，特征提取方法可以有效提取GEO / IGSO卫星约1天的时间和MEO卫星约13h的时间。卡方检验的结果表明，剩余的PODR遵循正态分布。3天实验的统计结果表明，将提取的特征信息应用于仅北斗SPP可使东，北和向上方向的定位精度分别提高20％，19％和23％。