2019
DOI: 10.3390/rs11091098
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A Three-Step Method for Determining Unhealthy Time Period of GPS Satellite Orbit in Broadcast Ephemeris and Its Preliminary Applications for Precise Orbit Determination

Abstract: Abnormal information of satellite orbits inevitably appears in the broadcast ephemeris. Failure to obtain unhealthy information on GPS satellite orbits in precise orbit determination (POD) degrades GPS service performance. At present, the reliable unhealthy information published by the Center for Orbit Determination in Europe (CODE) is usually used, but it has at least one-day latency, and the current level of unhealthy information cannot fully meet the requirements of rapid and real-time geodetic applications… Show more

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Cited by 3 publications
(4 citation statements)
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“…The green points are the stations with the last 10-day update, the yellow rectangles are the stations with the last 30-day update, and the red triangles are the unhealthy stations. The unhealthy stations may have problems with no or unreliable signal transmission (De Groot, 2017) or obtaining unreliable ephemeris information (Ye et al, 2019). CORS networks that are part of the IGS network must be standardised according to the IGS guideline (International GNSS Service Infrastructure Committee, 2015).…”
Section: Ncors Networkmentioning
confidence: 99%
“…The green points are the stations with the last 10-day update, the yellow rectangles are the stations with the last 30-day update, and the red triangles are the unhealthy stations. The unhealthy stations may have problems with no or unreliable signal transmission (De Groot, 2017) or obtaining unreliable ephemeris information (Ye et al, 2019). CORS networks that are part of the IGS network must be standardised according to the IGS guideline (International GNSS Service Infrastructure Committee, 2015).…”
Section: Ncors Networkmentioning
confidence: 99%
“…Compared to real-time kinematic positioning [1,2], satellite ultra-rapid orbit products are some of the most important products for positioning, navigation, and timing users to obtain real-time and near real-time precise services in a single point mode [3,4]. Several research projects have been focused on improving the accuracy of satellite ultra-rapid orbit products as this has always been a difficulty in the field of global navigation satellite systems (GNSSs) [5][6][7][8]. Development over decades has led to improvements in the updating rate of GPS satellites' ultra-rapid orbit products provided by the International GNSS Service (IGS), from 12 h initially to the current 6 h. Orbit accuracy (one-dimensional mean RMS values in the three XYZ geocentric components) has also been reduced from dozens of cm initially to approximately 5 cm.…”
Section: Introductionmentioning
confidence: 99%
“…5 Natural Resources Canada 6 , the U.S. Naval Observatory AC 7 , Geodetic Observatory Pecný in the Czech Republic [7,9,10] and Wuhan University (WHU) 8 [24] use 48-72, 27, 72, and 24 h orbit arc lengths to provide ultra-rapid orbit products, respectively. Additionally, to develop a prediction strategy that contributes to the IGS ultra-rapid product combination, Choi et al [21] analyzed the impact of orbit arc length on ultra-rapid orbits based on the GPS rapid orbit products provided by the IGS, and it was concluded that the most stable and accurate ultra-rapid GPS satellite orbits can be obtained with an orbit arc length of 40-45 h [21].…”
Section: Introductionmentioning
confidence: 99%
“…Aiming to shorten the interruption period of BDS broadcast ephemerides after satellite maneuverings and improve the ephemeris accuracy, Qiao et al [12] proposed a two-step orbit recovery strategy based on a piecewise linear thrust model. In another contribution from Ye et al [13], the authors presented a three-step method for determining unhealthy time periods of GPS satellite orbit in broadcast ephemeris during POD to provide reliable information in near-real time. For the purpose of improving the ultra-rapid orbit accuracy for BDS-2/BDS-3, Wang et al [14] linked the predicted clock offsets into the POD as constraints to strengthen the estimation.…”
mentioning
confidence: 99%