Backward smoothing for precise GNSS applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F15%3A00231405" target="_blank" >RIV/68407700:21110/15:00231405 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00025615:_____/15:#0002208

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0273117715005220" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0273117715005220</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.asr.2015.07.020" target="_blank" >10.1016/j.asr.2015.07.020</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Backward smoothing for precise GNSS applications

Popis výsledku v původním jazyce

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 processedwith 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.

Název v anglickém jazyce

Backward smoothing for precise GNSS applications

Popis výsledku anglicky

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 processedwith 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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

—

Projekt

<a href="/cs/project/GAP209%2F12%2F2207" target="_blank" >GAP209/12/2207: Rozvoj analýz využívajících data z Globálních polohových systémů pro monitorování troposféry</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Advanced in Space Research

ISSN

0273-1177

e-ISSN

—

Svazek periodika

56

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

8

Strana od-do

1627-1634

Kód UT WoS článku

000362604300006

EID výsledku v databázi Scopus

2-s2.0-84938234069