RT Journal Article SR Electronic T1 Extracting unmodeled systematic errors from BDS orbit determination residuals and application in SPP/PPP JF NAVIGATION: Journal of the Institute of Navigation JO NAVIGATION FD Institute of Navigation SP 275 OP 289 DO 10.1002/navi.365 VO 67 IS 2 A1 Hu, Guangbao A1 Ye, Shirong A1 Chen, Dezhong A1 Zhao, Lewen A1 Xia, FengYu A1 Dai, Xiaolei A1 Jiang, Peng YR 2020 UL https://navi.ion.org/content/67/2/275.abstract AB 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.