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Title: Differential Kalman filter design for GNSS open loop tracking
Authors: Jin, Tian
Yuan, Heliang
Ling, Keck-Voon
Qin, Honglei
Kang, Jianrong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Jin, T., Yuan, H., Ling, K.-V., Qin, H., & Kang, J. (2020). Differential Kalman filter design for GNSS open loop tracking. Remote Sensing, 12(5), 812-. doi:10.3390/rs12050812
Journal: Remote Sensing
Abstract: Global navigation satellite system (GNSS) positioning in an urban environment is in need for accurate, reliable and robust positioning. Unfortunately, conventional closed-loop tracking fails to meet the demand. The open loop tracking shows improved robustness, however, the precision is unsatisfactory. We propose a differential Kalman filter for open loop, of which the measurement vector contains the differential values of open loop navigation results between adjacent epochs. The differential Kalman filter makes use of the satellite geometry (i.e., spatial domain) and motion relationship (i.e., temporal domain) to filter frequency and code phase estimations of conventional open loop tracking. The improved performances of this architecture have been analyzed theoretically and demonstrated by road tests in an urban environment. The proposed architecture shows more than 50% accuracy improvement than the conventional open-loop tracking architecture.
ISSN: 2072-4292
DOI: 10.3390/rs12050812
Schools: School of Electrical and Electronic Engineering 
Rights: © 2020 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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