BeiDou System (BDS) Triple-Frequency Ambiguity Resolution without Code Measurements

Chu, F.; Yang, Ming

doi:10.3390/rs10050675

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…Meanwhile, GPS continues to transition its satellites to being L5 capable. Furthermore, Beidou has also become triple frequency capable [Chu and Yang, 2018]. In challenging GNSS conditions, such as urban canyons, the addition of new signals and constellations almost systematically improves the positioning accuracy, convergence or availability [Li, 2018] [Li, 2020.…”

Section: Discussionmentioning

confidence: 99%

Using TDCP Measurements in a Low-Cost PPP-IMU Hybridized Filter for Real-Time Applications

Guillard¹,

Thevenon²,

Milner³

2022

ION GNSS+, the International Technical Meeting of the Satellite Division of the Institute of Navigation

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is a PhD student for ENAC and 3D Aeropace. His PhD aims at developing an innovative, low-cost PPP triple frequency algorithm and detecting multipath with machine learning techniques. Dr. Paul Thevenon obtained a PhD degree in the signal processing laboratory of ENAC in Toulouse, France. Since July 2013, he is employed by ENAC as Assistant Professor. His current activities are GNSS precise positioning, signal distortion monitoring and hybridization with other sensors. Carl Milner received his PhD from Imperial College London in 2009. He continues to work on satellite navigation applications within civil aviation as an assistant professor at ENAC.

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Section: Discussionmentioning

confidence: 99%

Using TDCP Measurements in a Low-Cost PPP-IMU Hybridized Filter for Real-Time Applications

Guillard¹,

Thevenon²,

Milner³

2022

ION GNSS+, the International Technical Meeting of the Satellite Division of the Institute of Navigation

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“…As pseudorange is easily contaminated by multipath and hardware delays, biases in the pseudorange are significant (Yu et al, 2017, Chu and Yang 2018, Chu et al, 2016. Hence, only carrier phase observations are usually used in our monitoring work and only the elevation-dependent precision of carrier phase is estimated in this study.…”

Section: Elevation-dependent Precision Estimation With Sd Geometry-free Methods 21 the Sd Geometry-free Functional Modelmentioning

confidence: 99%

GPS/GLONASS carrier phase elevation-dependent stochastic modelling estimation and its application in bridge monitoring

Meng

Jiang

et al. 2018

Advances in Space Research

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The Global Positioning System (GPS) based monitoring technology has been recognised as an essential tool in the long-span bridge health monitoring throughout the world in recent years.However, the high observation noise is still a big problem that limits the high precision displacement extraction and vibration response detection. To solve this problem, GPS double-difference model and many other specific function models have been developed to eliminate systematic errors e.g. unmodeled atmospheric delays, multipath effect and hardware delays. However, relatively less attention has been given to the noise reduction in the deformation monitoring area. In this paper, we first proposed a new carrier phase elevation-dependent precision estimation method with Geometry-Free (GF) and Melbourne-Wübbena (MW) linear combinations, which is appropriate to regardless of Code Division Multiple Access (CDMA) system (GPS) or Frequency Division Multiple Access (FDMA) system (GLONASS). Then, the method is used to estimate the receiver internal noise and the realistic GNSS stochastic model with a group of zero-baselines and short-baselines (served for the GNSS and Earth Observation for Structural Health Monitoring of Bridges (GeoSHM) project), and to demonstrate their impacts on the positioning. At last, the contribution of integration of GPS and GLONASS is introduced to see the performance of noise reduction with multi-GNSS. The results show that the higher level receiver internal noise in cost effective receivers has less influences on the short-baseline data processing. The high noise effects introduced by the low elevation satellite and the geometry variation caused by rising and dropping satellites, can be reduced by 10%-20% with the refined carrier phase elevation-dependent stochastic model. Furthermore, based on observations from GPS and GLONASS with the refined stochastic model, the noise can be reduced by 30%-40%, and the spurious signals in the real-life bridge displacements tend to be completely eliminated.

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“…Obviously, completely eliminating code multipath error will improve AR performance. Feng-Yu Chu et al proposed a method to resolve ambiguities using only triple-frequency carrier phase observations, completely eliminating the effects of code multipath, and pointed out that the positioning performance is still affected by the carrier phase multipath [20]. The Inertial Navigation System (INS) not only has strong autonomy but also can output short-time high-precision positioning parameters at high frequency [21].…”

Section: Introductionmentioning

confidence: 99%

A MEMS-IMU Assisted BDS Triple-Frequency Ambiguity Resolution Method in Complex Environments

Cheng

Zhao

2018

Mathematical Problems in Engineering

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Emerging technologies such as smart cities and unmanned vehicles all need Global Navigation Satellite Systems (GNSS) to provide high-precision positioning and navigation services. Fast and reliable carrier phase ambiguity resolution (AR) is a prerequisite for high-precision positioning. The poor satellite geometry and severe multipath effect caused by Beidou Navigation Satellite System (BDS) signal occlusion and reflection in complex environments will degrade the AR performance. In this contribution, a fast triplefrequency AR method combining Microelectromechanical System-Inertial Measurement Unit (MEMS-IMU) and BDS is proposed. First, the Extra-Wide Lane (EWL) ambiguity is fixed with the positioning parameters of MEMS-IMU instead of the pseudorange. Then, the phase noise variance of Narrow Lane (NL) observation is obtained from ambiguity-fixed EWL observation to reduce the total noise level of NL observation, and the NL ambiguity can be reliably fixed, and the BDS positioning result is obtained. Finally, the BDS positioning result is used as the posterior measurement of the extended Kalman filter to update the MEMS-IMU positioning parameters to form the coupling loop of MEMS-IMU and BDS. The data of urban road vehicle experiments were collected to verify the feasibility and effectiveness of the proposed algorithm. Results show that MEMS-IMU can speed up AR, and reduction of total noise level can significantly improve the reliability of AR.

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BeiDou System (BDS) Triple-Frequency Ambiguity Resolution without Code Measurements

Cited by 8 publications

References 37 publications

Using TDCP Measurements in a Low-Cost PPP-IMU Hybridized Filter for Real-Time Applications

Using TDCP Measurements in a Low-Cost PPP-IMU Hybridized Filter for Real-Time Applications

GPS/GLONASS carrier phase elevation-dependent stochastic modelling estimation and its application in bridge monitoring

A MEMS-IMU Assisted BDS Triple-Frequency Ambiguity Resolution Method in Complex Environments

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