Analysis of the Effect of the 06-09-2017 Solar Flare on GNSS Signal and Positioning Performance

来源 :第九届中国卫星导航学术年会 | 被引量 : 0次 | 上传用户:itowna
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  This paper investigates the effect of 06-09-2017 X9.3 solar flare on Global Navigation Satellite System(GNSS)signal and positioning performance.To conduct the study we select 60 IGS stations and collect the observations and ephemeris from August 30 to September 13,2017.The Solar activity Indexes of Ap,Kp,Dst are evaluated and the global ROTI maps are constructed to indicate and define the magnitude of the storm.As for the GNSS signal,signal-in-space-ranging-errors(SISRE)is used to assess the solar flares effect on the accuracy of broadcast ephemeris,and the cycle slip occurrence is used to assess its impact on observation quality,especially phase observation.Furthermore,the kinematic GNSS PPP solution is used to evaluate the GNSS positioning performance during the storm.After processing,root mean square errors(RMS)of north,east and up component were calculated for each station on each day.The results indicate that at eight of all the selected IGS stations three-dimensional(3D)accuracy of PPP has degraded significantly and the GNSS are unreliable during the storm.
其他文献
Autonomous Navigation Based on Inter-Satellite Link(ISL)is a hot spot in the future development of satellite navigation system.The new generation Beidou navigation satellites are equipped with Ka-band
In order to enhance positioning accuracy and reliability,improve data utilization,improve the success rate of epoch result,a stratified weighting algorithm based on posterior residual error was design
Regarding the problem of systematic multipath bias on BeiDou navigation system code observations,ten days BeiDou triple-frequency observations of multi-stations were collected,the relationships betwee
The paper focuses on the performance of multi-GNSS(GPS,BDS,GLONASS,and Galileo)precise point positioning(PPP)of three commonly used models including Un-differenced(UD)model,UofC model and Un-combinati
MGEX(The Multi-GNSS Experiment)and iGMAS(international GNSS Monitoring & Assessment System)are two important global tracking networks of the BDS satellite navigation system.
As for the problem that the non-stationary fluctuating wind induces dramatic changes of atmosphere refraction at tens of meters height above the rough ocean surface,which reduces the accuracy of orbit
Ionospheric delay error is one of the most important errors in navigation and positioning.Ignoring the effects of the second and the upper order terms of the ionosphere,dual-frequency/multi-frequency
Tropospheric delay is one of the main factors that affect obtaining a higher precision of long-distance RTK.In order to optimize the tropospheric delay modeling method and obtain a higher positioning
LLL reduction algorithm has been used as a new technique of decorrelation to GNSS ambiguity resolution for recent years.The basic idea of this method is to make the variance-covariance matrix as ortho
Real BDS data were used to investigate triple-frequency ambiguity resolution(AR)performance.At first,the extra-wide-lane(EWL),wide-lane(WL)and narrow-lane(NL)ambiguities were determined with the class