Detecting Global Positioning Satellite Orbit Errors Using Short-Baseline Carrier-Phase Measurements

2003 ◽  
Vol 26 (1) ◽  
pp. 122-131 ◽  
Author(s):  
Boris Pervan ◽  
Fang-Cheng Chan
Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3084 ◽  
Author(s):  
Jungbeom Kim ◽  
Younsil Kim ◽  
Junesol Song ◽  
Donguk Kim ◽  
Minhuck Park ◽  
...  

In this study, we combined a time-differenced carrier phase (TDCP)-based global positioning system (GPS) with an inertial navigation system (INS) to form an integrated system that appropriately considers noise correlation. The TDCP-based navigation system can determine positions precisely based on high-quality carrier phase measurements without difficulty resolving integer ambiguity. Because the TDCP system contains current and previous information that violate the format of the conventional Kalman filter, a delayed state filter that considers the correlation between process and measurement noise is utilized to improve the accuracy and reliability of the TDCP-based GPS/INS. The results of a dynamic simulation and an experiment conducted to verify the efficacy of the proposed system indicate that it can achieve performance improvements of up to 70% and 60%, respectively, compared to the conventional algorithm.


2019 ◽  
Vol 11 (19) ◽  
pp. 2271 ◽  
Author(s):  
Sunkyoung Yu ◽  
Donguk Kim ◽  
Junesol Song ◽  
Changdon Kee

The covariance of real-time global positioning system (GPS) orbits has been drawing attention in various fields such as user integrity, navigation performance improvement, and fault detection. The international global navigation satellite system (GNSS) service (IGS) provides real-time orbit standard deviations without correlations between the axes. However, without correlation information, the provided covariance cannot assure the performance of the orbit product, which would, in turn, causes significant problems in fault detection and user integrity. Therefore, we studied real-time GPS orbit covariance characteristics along various coordinates to effectively provide conservative covariance. To this end, the covariance and precise orbits are estimated by means of an extended Kalman filter using double-differenced carrier phase observations of 61 IGS reference stations. Furthermore, we propose a new method for providing covariance to minimize loss of correlation. The method adopted by the IGS, which neglects correlation, requires 4.5 times the size of the covariance to bind orbit errors. By comparison, our proposed method reduces this size from 4.5 to 1.3 using only one additional parameter. In conclusion, the proposed method effectively provides covariance to users.


2006 ◽  
Vol 43 (3) ◽  
pp. 799-808 ◽  
Author(s):  
Jiyun Lee ◽  
Sam Pullen ◽  
Per Enge ◽  
Boris Pervan ◽  
Livio Gratton

2016 ◽  
Vol 19 (2) ◽  
pp. 27-35
Author(s):  
Lau Ngoc Nguyen ◽  
Huong Thi Thanh Nguyen ◽  
Hoa Minh Ha

In the framework of a Natural Resources and Environment Ministry level project, chaired by the Vietnam Institute of Geodesy and Cartography, we have established GNSS-Pro software for processing GNSS short baseline networks. The software can process carrier phase measurements from single or dual frequency receivers for the two satellite systems GPS and GLONASS simultaneously. This paper presents the results of treatment an illustrated cadastral GNSS network in Hai Duong province by GNSS-Pro and compared with other commonly used software packages such as Leica Geo Office (LGO) and Trimble Business Center (TBC). Result comparisons showed that although GNSS data collected in the unfavorable conditions, GNSS-Pro still offers fixed solution for all baselines with centimeter level accuracy.


Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2291
Author(s):  
Qunsheng Li ◽  
Yan Zhao

The Doppler-assisted error provided by a low-precision microelectromechanical system (MEMS) strapdown inertial navigation system (SINS) increases rapidly. Therefore, the bandwidth of the tracking loop for a global positioning system (GPS)/MEMS-SINS ultra-tight integration system is too narrow to track Doppler shift. GPS measurement error is correlated with the MEMS-SINS velocity error when the Doppler-assisted error exists, leading to tracking loop lock loss. The estimated precision of the integrated Kalman filter (IKF) also decreases. Even the integrated system becomes unstable. To solve this problem, an innovative GPS/MEMS-SINS ultra-tight integration scheme based on using high-precision carrier phase measurements as the IKF measurements is proposed in this study. By assisting the tracking loop with time-differenced carrier phase (TDCP) velocity, the carrier loop noise bandwidth and code correlator spacing are reduced. The tracking accuracies of the carrier and code are increased. The navigation accuracy of GPS/MEMS-SINS ultra-tight integration is further improved.


Sign in / Sign up

Export Citation Format

Share Document