Research on Dependency of Carrier Phase Biases on Correlator Spacing

Wang, Ye; Zhao, Lu; Chen, Shaohua; Gao, Yang

doi:10.33012/2018.15995

Cited by 3 publications

(3 citation statements)

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“…The current day CODE DCB products are used as a reference. Five correlator spacings (0.6 to 1.0) are used to calculate GNSS observations since the observations are not accurate enough when the correlator spacing is less than 0.6 chips [ 21 , 28 ]. Observations calculated from the same spacing for all satellites are used as an independent receiver.…”

Section: Experiment Results Comparison and Analysismentioning

confidence: 99%

“…

and

are the satellite hardware-induced code bias and receiver hardware-induced code bias, respectively, and

is the satellite and receiver code thermal noise. References [ 21 , 28 ] proved that the carrier phase and pseudorange observations measured by different correlator spacings are independent and can be used to classify and estimate satellite biases.…”

Section: Methodsmentioning

confidence: 99%

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Estimation and Analysis of GNSS Differential Code Biases (DCBs) Using a Multi-Spacing Software Receiver

Wang

Zhao

Gao

2021

Sensors

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In the use of global navigation satellite systems (GNSS) to monitor ionosphere variations by estimating total electron content (TEC), differential code biases (DCBs) in GNSS measurements are a primary source of errors. Satellite DCBs are currently estimated and broadcast to users by International GNSS Service (IGS) using a network of GNSS hardware receivers which are inside structure fixed. We propose an approach for satellite DCB estimation using a multi-spacing GNSS software receiver to analyze the influence of the correlator spacing on satellite DCB estimates and estimate satellite DCBs based on different correlator spacing observations from the software receiver. This software receiver-based approach is called multi-spacing DCB (MSDCB) estimation. In the software receiver approach, GNSS observations with different correlator spacings from intermediate frequency datasets can be generated. Since each correlator spacing allows the software receiver to output observations like a local GNSS receiver station, GNSS observations from different correlator spacings constitute a network of GNSS receivers, which makes it possible to use a single software receiver to estimate satellite DCBs. By comparing the MSDCBs to the IGS DCB products, the results show that the proposed correlator spacing flexible software receiver is able to predict satellite DCBs with increased flexibility and cost-effectiveness than the current hardware receiver-based DCB estimation approach.

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Section: Experiment Results Comparison and Analysismentioning

confidence: 99%

“…

and

are the satellite hardware-induced code bias and receiver hardware-induced code bias, respectively, and

Section: Methodsmentioning

confidence: 99%

Estimation and Analysis of GNSS Differential Code Biases (DCBs) Using a Multi-Spacing Software Receiver

Wang

Zhao

Gao

2021

Sensors

Self Cite

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show abstract

“…The correlation is a statistical process that is based on the average and probabilities [26,27]. Different correlator spacings showed different performance for correlating the two signals and induced different biases [28][29][30][31]. The research in [22,26,28] proved that the receiver biases could not be eliminated by the betweensatellite single-differenced observations for both pseudorange and carrier phase observations by a comparison between the real signal and the simulated signal.…”

Section: Introductionmentioning

confidence: 99%

Determination and analysis of front-end and correlator-spacing-induced biases for code and carrier phase observations

Wang

Zhao

Gao

2020

Meas. Sci. Technol.

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Global navigation satellite system (GNSS) biases preclude integer ambiguity resolution and degrade positioning accuracy if they are not corrected in GNSS precise applications. Biases in GNSS positioning applications occur because of imperfections and physical limitations in satellite and receiver hardware. Consequently, these biases will affect the accuracy of positioning solutions, particularly for precise applications due to the existence of biases in the code and carrier phase observations. Various types of biases between systems, frequencies, and satellites have been defined and analyzed. In addition, receiver biases are often assumed to be eliminated by differencing observations between satellites, although this is not always true. This paper investigates the determination of the receiver front-end and correlator-spacing-induced biases in code and carrier phase observations with a focus on how receiver front-end and correlator spacing affect the code and carrier phase measurements, and how such biases vary with respect to the use of different correlator spacings and frontends. Firstly, oscillator, front-end chip, and ADC-induced biases, as well as their observability, will be discussed. Several groups of datasets with different frontends have been collected and used to determine the inter-front-end (including oscillator, chip, and ADC) pseudorange and carrier phase biases. Then, a software receiver that allows the tracking of a satellite with a series of different correlator spacings has been developed to assess measurement biases with different datasets. The results show that the inter-front-end biases and correlator-spacing-induced biases are significantly different among satellites, which can not be ignored during the GNSS positioning. This is because the single-difference of measurements between satellites can not eliminate all these biases. The results with the software receiver connected to different frontends and different correlator spacings indicate that the satellite-dependent biases depend on the configuration of the in-receiver hardware and software.

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Weakening Test of Pseudo-range Bias Based on Parameters-Constrained of BDS Monitoring Receiver

Feng

Gong

Liu

et al. 2021

Lecture Notes in Electrical Engineering

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Research on Dependency of Carrier Phase Biases on Correlator Spacing

Cited by 3 publications

References 0 publications

Estimation and Analysis of GNSS Differential Code Biases (DCBs) Using a Multi-Spacing Software Receiver

Estimation and Analysis of GNSS Differential Code Biases (DCBs) Using a Multi-Spacing Software Receiver

Determination and analysis of front-end and correlator-spacing-induced biases for code and carrier phase observations

Weakening Test of Pseudo-range Bias Based on Parameters-Constrained of BDS Monitoring Receiver

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