Bibliografie VÚGTK
Backward smoothing for precise GNSS applications
Václavovic, Pavel ; Douša, Jan

Source: ADVANCES IN SPACE RESEARCH : Volume: 56 Issue: 8 Pages: 1627-1634 OCT 15 2015 ISSN: 0273-1177

Publication type: clanky
Extent8 stran


The Extended Kalman filter is widely used for its robustness and simple implementation. Parameters estimated for solving dynamical systems usually require certain time to converge and need to be smoothed by a dedicated algorithms. The purpose of our study was to implement smoothing algorithms for processing both code and carrier phase observations with Precise Point Positioning method. We implemented and used the well known Rauch-Tung-Striebel smoother (RTS). It has been found out that the RTS suffer from significant numerical instability in smoothed state covariance matrix determination. We improved the processing with algorithms based on Singular Value Decomposition, which was more robust. Observations from many permanent stations have been processed with final orbits and clocks provided by the International GNSS service (IGS), and the smoothing improved stability and precision in every cases. Moreover, (re)convergence of the parameters were always successfully eliminated. (C) 2015 COSPAR. Published by Elsevier Ltd. All rights reserved.
Keywords: GNSS ; Kalman filter ; backward smoothing ; ambiguity ; precise point positioning

Citation: VÁCLAVOVIC, Pavel a Jan DOUŠA. Backward smoothing for precise GNSS applications. Advances in Space Research. Spojené království Velké Británie a Severního Irska, 2015, 56(8), 8. DOI: 10.1016/j.asr.2015.07.020. ISSN 0273-1177. Dostupné také z:
[Odkaz do RIVu]

The record appears in these collections:
Focus on VÚGTK > Researchers > Pavel Václavovic
Focus on VÚGTK > Researchers > Jan Douša
Documents of VÚGTK > Articles VÚGTK

 Record created 2016-09-15, last modified 2019-01-30

Rate this document:

Rate this document:
(Not yet reviewed)