A review of real-time multi-GNSS precise orbit determination based on the filter method

Lou, Yidong; Dai, Xiaolei; Gong, Xiaopeng; Li, Chenglong; Qing, Yun; Liu, Yang; Peng, Yunfeng; Gu, Shengfeng

doi:10.1186/s43020-022-00075-1

Cited by 28 publications

(7 citation statements)

References 62 publications

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“…When using GNSS signals for positioning, the GNSS satellite orbital and clock errors are often determined based on GNSS data collected by a ground network [15][16][17][18][19]. The obtained satellite clock errors often contain the Ionosphere-Free (IF) code hardware delays of the downlink navigation signal transmitter/antenna.…”

Section: Introductionmentioning

confidence: 99%

PCO and hardware delay calibration for LEO satellite antenna downlinking navigation signals

Liu,

Wang,

El-Mowafy

et al. 2024

Meas. Sci. Technol.

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Augmentation of the GNSS by Low Earth Orbit (LEO) satellites is a promising approach benefiting from the advantages of LEO satellites. This, however, requires errors and biases in the satellite downlink navigation signals to be calibrated, modeled, or eliminated. This contribution introduces an approach for in-orbit calibration of the Phase Center Offsets (PCOs) and code hardware delays of the LEO downlink navigation signal transmitter/antenna. Using the satellite geometries of Sentinel-3B and Sentinel-6A as examples, the study analyzed the formal precision and bias influences for potential downlink antenna PCOs and hardware delays of LEO satellites under different ground network distributions, and processing periods. It was found that increasing the number of tracking stations and processing periods can improve the formal precision of PCOs and hardware delay. Less than 3.5 mm and 3 cm, respectively, can be achieved with 10 stations and 6 processing days. The bias projections of the real-time LEO satellite orbital and clock errors can reach below 3 mm in such a case. For near-polar LEO satellites, stations in polar areas are essential for strengthening the observation model.

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Section: Introductionmentioning

confidence: 99%

PCO and hardware delay calibration for LEO satellite antenna downlinking navigation signals

Liu,

Wang,

El-Mowafy

et al. 2024

Meas. Sci. Technol.

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“…Thanks to the detailed validation and analysis performed by these scholars, ISL data are currently used in daily data processing of the BDS-3 operational control system. Stable and reliable highprecision satellite orbit products are the prerequisites for the positioning services with high performances [14][15][16]. It should be noted that similar to L-band pseudo-range and carrier phase observations, the ISLs are also affected by the phase center offsets of the Ka-band-phased array antenna and hardware delay.…”

Section: Introductionmentioning

confidence: 99%

Impact of ambiguity resolution on phase center offsets and hardware delay estimation for BDS-3 inter-satellite links

Xiao

Fan

et al. 2023

Front. Phys.

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The Chinese BeiDou navigation satellite system (BDS) has already completed its three phases and developed into a global navigation satellite system for open positioning, navigation, and timing services. The BDS-3 satellites feature the inter-satellite link (ISL). The ISL observation-related error model and ambiguity resolution for L-band observation are the crucial factors in precise data processing. In this study, we present for the first time the impact of ambiguity resolution on phase center offsets (PCOs) and hardware delay estimation of BDS-3 inter-satellite links. Two weeks’ L-band observations from 99 globally distributed ground stations and Ka-band ISL observations are collected for experimental validation and analysis. First, network solutions with and without ISL observations are conducted to investigate the role of ISL observation in ambiguity resolution. Afterward, ISL observation-related errors, mainly PCOs and hardware delays, are estimated by processing L-band with ISL observations with and without ambiguity resolution to analyze the impact of ambiguity resolution on these two factors. Finally, orbit accuracy in the network solution is assessed to further validate the effectiveness of the estimated PCOs and hardware delays in our experiment. The result indicates that introducing the ISL can slightly improve the fixing rate compared to only L-band observations from 83.7% to 84.3%. Furthermore, ambiguity resolution has a positive influence on the stability of estimated PCOs and hardware delays in turn, although the root mean square (RMS) values basically remain unchanged. The standard deviation (STD) of the x-offset is reduced from 0.021 m to 0.012 m, a significant improvement of about 43%, and 0.022 m–0.016 m, with an improvement of about 27%, for the y-offset. There is a slight improvement of about 8% for z-offset. Similarly, around 10% improvement in the STD for hardware delays can be achieved while the RMS values almost stay the same except for C40. Orbit determination from network solutions shows high accuracy compared to the public products for the satellite with good geometry configuration, which further validates our estimates for ISL PCOs and hardware delays.

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“…There are several systems taking advantage of GNSS systems for motion monitoring. Mobile devices are usually equipped with sensors which are able to cooperate with the majority of them, including [21], [22] the American GPS system, the European Galileo, the Russian Glonass, and the Chinese BeiDou, among others. Uncorrected GNSS systems using basic information directly from satellites can be quite imprecise, with an accuracy of several meters.…”

Section: Introductionmentioning

confidence: 99%

“…This paper presents the use of the global navigation satellite system (GNSS) [21], [22], [27], [28] for detecting and recording the position of a moving body [29] during monitoring of physical activity and the simultaneous acquisition of signals from biosensors and accelerometers [30]- [33]. Figure 1 presents the route recorded by the GNSS system, its location above the mapping background, and satellite and physiological signals acquired.…”

Section: Introductionmentioning

confidence: 99%

Motion Analysis Using Global Navigation Satellite System and Physiological Data

et al. 2023

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Motion analysis by wearable sensors forms a very important research topic with a general mathematical background and applications in different areas including engineering, robotics, and neurology. This paper presents the use of the global navigation satellite system (GNSS) for detecting and recording the position of a moving body and the simultaneous acquisition of signals from further sensors. The application is related to the monitoring of physical activity and the analysis of the heart rate dynamics during the run at route segments of different slopes with changing speed, forming an alternative to the heart monitoring on the treadmill ergometer. The proposed computational method includes digital methods of data preprocessing, time synchronization, and data resampling to enable their correlation, feature extraction both in time and frequency domains, and classification. The datasets include signals acquired during ten experimental runs in the selected area. The detection of the patterns of motion includes segmenting the signals by analysing the GNSS data, evaluating the patterns, and classifying the motion signals under different terrain conditions. This method of classification provides a comparison of neural networks, support vector machine, Bayesian, and k-nearest neighbour methods. The highest accuracy of 93.3 % was achieved by using combined features and a two-layer neural network for classification into three classes with different slopes. The proposed method and graphical user interface suggest the efficiency of multi-channel and multidimensional signal processing with applications in rehabilitation, fitness movement monitoring, neurology, cardiology, engineering, and robotic systems as well.

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A review of real-time multi-GNSS precise orbit determination based on the filter method

Cited by 28 publications

References 62 publications

PCO and hardware delay calibration for LEO satellite antenna downlinking navigation signals

PCO and hardware delay calibration for LEO satellite antenna downlinking navigation signals

Impact of ambiguity resolution on phase center offsets and hardware delay estimation for BDS-3 inter-satellite links

Motion Analysis Using Global Navigation Satellite System and Physiological Data

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