BeiDou system satellite‐induced pseudorange multipath bias mitigation based on different orbital characteristic for static applications. Issue 2 (6th January 2020)

• Record Type: Journal Article
• Authors: Su, Mingkun; Yang, Yanxi; Jiang, Jinguang
• Is Part Of: IET radar, sonar & navigation. Volume 14:Issue 2(2020)
• Page Start: 242
• Page End: 251
• Publication Date: 2020-01-06
• Subjects: radio receivers -- Global Positioning System -- wavelet transforms; BeiDou system satellite‐induced pseudorange multipath bias mitigation -- static applications -- BeiDou two‐generation system -- orbital types satellite‐induced pseudorange multipath bias -- orbital repetition period -- different orbital characteristic respective correction strategy -- different satellites -- GEO satellites -- sidereal filtering strategy -- systematic satellite‐induced multipath bias -- mean improvement rate -- receiver‐induced multipath bias; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2019.0337
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : Satellite‐induced pseudorange multipath bias exists in the BeiDou two‐generation system, which affects the accuracy of positioning, navigation and the rate of convergence seriously. After analysing the characteristic of the three orbital types satellite‐induced pseudorange multipath bias and deriving the orbital repetition period of the satellites, a new integrated method based on different orbital characteristic respective correction strategy, is proposed to mitigate this bias for static applications. The main idea of the new algorithm is to correct the IGSO and MEO satellites by the elevation model, which is established based on different satellites and different frequencies. And, for the GEO satellites, a new sidereal filtering strategy based on adaptive wavelet packet transform has been used to mitigate the multipath bias. In order to evaluate the performance of the proposed method, two datasets were collected from the MGEX stations. The results indicate that the proposed method can mitigate the systematic satellite‐induced multipath bias for all satellites since the mean improvement rate for GEO satellites is nearly 26.63% and is about 18.53% for IGSO and MEO satellites. However, since the sidereal filtering method requires the reference day's data for extracting correction model, it can only be used for static applications.