TY - GEN
T1 - GPS Multipath Correction Model Based on Adaptive Local Mean Decomposition
AU - Chen, Xusheng
AU - Zhang, Xianzhou
AU - Miao, Weikai
AU - Luo, Baolin
AU - Huang, Yuwei
AU - Wang, Xingxing
N1 - Publisher Copyright:
© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
N2 - Aiming at the current situation of sifting pure frequency-modulated (FM) signal of ensemble local mean decomposition (ELMD) using hard threshold criterion, this paper proposes an improved ELMD method based on the adaptive sifting stopping criterion. The improved ELMD combined with the consecutive mean square error (CMSE) criterion, which is named as the adaptive local mean decomposition (ALMD), is used to separate the noise signal and extract the useful signal and applied to the research of GPS multipath effects. The results of numerical simulation show that compared with the traditional LMD using the hard threshold criterion and wavelet de-noising method, the de-noising method proposed in this paper is better and more stable. The usage of the proposed method, which aims to extract the multipath correction model from the coordinate residual time series, can weaken the influence of multipath effects to a certain extent, thus improve GPS positioning accuracy.
AB - Aiming at the current situation of sifting pure frequency-modulated (FM) signal of ensemble local mean decomposition (ELMD) using hard threshold criterion, this paper proposes an improved ELMD method based on the adaptive sifting stopping criterion. The improved ELMD combined with the consecutive mean square error (CMSE) criterion, which is named as the adaptive local mean decomposition (ALMD), is used to separate the noise signal and extract the useful signal and applied to the research of GPS multipath effects. The results of numerical simulation show that compared with the traditional LMD using the hard threshold criterion and wavelet de-noising method, the de-noising method proposed in this paper is better and more stable. The usage of the proposed method, which aims to extract the multipath correction model from the coordinate residual time series, can weaken the influence of multipath effects to a certain extent, thus improve GPS positioning accuracy.
KW - Consecutive mean square error
KW - Ensemble local mean decomposition
KW - GPS
KW - Multipath effects
KW - Sifting stopping criterion
UR - https://www.scopus.com/pages/publications/85086255480
U2 - 10.1007/978-981-15-3715-8_24
DO - 10.1007/978-981-15-3715-8_24
M3 - 会议稿件
AN - SCOPUS:85086255480
SN - 9789811537141
T3 - Lecture Notes in Electrical Engineering
SP - 252
EP - 264
BT - China Satellite Navigation Conference, CSNC 2020 Proceedings
A2 - Sun, Jiadong
A2 - Yang, Changfeng
A2 - Xie, Jun
PB - Springer
T2 - 11th China Satellite Navigation Conference, CSNC 2020
Y2 - 22 November 2020 through 25 November 2020
ER -