An improved Hatch filter and its application in kinematic positioning with single-frequency GPS

Zhang, Qinghua; Chen, Zhengsheng; Rong, Fengjuan; Cui, Yang

doi:10.1016/j.measurement.2019.07.030

Cited by 7 publications

(14 citation statements)

References 13 publications

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“…B  can be considered as a constant within a period (i.e., within the visible range of the satellite) [26], [27]. Then, both sides of the equation 14are multiplied by the same coefficient.…”

Section: Calculation Of the Rate Of Ionospheric Variation With Duamentioning

confidence: 99%

“…In the above equation, The difference between the carrier-phase observations on the two frequencies can eliminate the majority of the errors. Thus, the rate of ionospheric variation can be accurately determined through equation (16) with high sampling rate data, which can be used as the reference values for subsequent experiments [22], [26].…”

Section: Calculation Of the Rate Of Ionospheric Variation With Duamentioning

confidence: 99%

“…As mentioned in the Introduction, the concept of self-modeling has recently been proposed to model and denoise ionospheric variation using only singlefrequency observations. It was used to build an improved divergence-free Hatch filter suitable for single-frequency users without any real-time augmentation correction input [26], [27]. This significant concept will be reviewed in detail below.…”

Section: B Self-modeling Of Ionospheric Variation With Single-frequementioning

confidence: 99%

“…Meanwhile, a sliding window was used to select the observations for estimation, that is, the sliding ionospheric variation fitting window. The entire method is named as the sliding window fitting method [26], [27]. It should be noted that the extrapolated value of the fitted polynomial is used when a cycle slip occurs.…”

Section: B Self-modeling Of Ionospheric Variation With Single-frequementioning

confidence: 99%

“…Thus, Zhang et al [26], [27] recently proposed an improved Hatch filter suitable for single-frequency users and didn't need any real-time augmentation correction input. In their studies, the concept of self-modeling was first proposed, that is, without any external information, only the fundamental single-frequency observations were used to model the ionospheric variation rate.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An Improved Divergence-Free Hatch Filter Algorithm Toward Sub-Meter Train Positioning With GNSS Single- Frequency Observations Only

Rui

Dong

2020

IEEE Access

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show abstract

Section: Calculation Of the Rate Of Ionospheric Variation With Duamentioning

confidence: 99%

Section: Calculation Of the Rate Of Ionospheric Variation With Duamentioning

confidence: 99%

Section: B Self-modeling Of Ionospheric Variation With Single-frequementioning

confidence: 99%

Section: B Self-modeling Of Ionospheric Variation With Single-frequementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Improved Divergence-Free Hatch Filter Algorithm Toward Sub-Meter Train Positioning With GNSS Single- Frequency Observations Only

Rui

Dong

2020

IEEE Access

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Adaptive Doppler‐smoothed‐code bilateral kernel regression method for single‐frequency BeiDou receiver

Jiang

Han

Gao

2022

IET Radar Sonar & Navi

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Currently, single-frequency Global Navigation Satellite System (GNSS) receivers dominate maritime navigation units due to their simple structure and low cost but usually cannot meet the positioning requirements of Maritime Autonomous Surface Ship (MASS). Herein, a novel adaptive Doppler-smoothed-code Bilateral Kernel Regression (DBKR) method is proposed, which improves pseudorange accuracy in the range domain and then reconstructs observations in the position domain. In the range domain, the Doppler observable is utilised to smooth the pseudorange with an optimal window smoothing width for the BeiDou Navigation Satellite System (BDS) receiver to alleviate ionosphere delay. In the position domain, we elaborate a bilateral kernel regression model to further reduce the positioning drift. The on-line regression process starts with mapping the observation space to Euclidean space and subsequently fusing all observations of the same epoch using the Gaussian Radial Basis Function (RBF). Finally, the experiments under static and dynamic scenarios are carried out, which verify the validity and efficiency of the proposed DBKR method.

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Improving GNSS positioning performance of Android smart devices by a novel pseudorange correction method

Li¹,

Song²,

Li³

et al. 2023

Meas. Sci. Technol.

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To achieve high-precision GNSS positioning of smart devices, it is necessary to correct the pseudorange measurements, especially to reduce time-related errors. Traditional pseudorange smoothing methods fail to cope with measurement anomalies and do not consider the time correlation. Therefore, a time-correlated pseudorange correction (TCPC) method is proposed. The Mann-Kendall trend test and breakpoint detection are used to address data anomalies and pseudorange errors are estimated with an adaptive smoothing method. Using the proposed method, the GNSS receivers can improve the pseudorange accuracy and availability for better single-point positioning performance. The positioning errors are reduced by 10%−45% for different GNSS receivers. Moreover, the circular antenna motion mechanism is used to reduce the measurement correlation and enhance observability. Using the TCPC method in the smartphone antenna motion case, the improvement rates of positioning accuracies are 43%−76% and the horizontal positioning accuracy is improved from meter level to decimeter level.

show abstract

An improved Hatch filter and its application in kinematic positioning with single-frequency GPS

Cited by 7 publications

References 13 publications

An Improved Divergence-Free Hatch Filter Algorithm Toward Sub-Meter Train Positioning With GNSS Single- Frequency Observations Only

An Improved Divergence-Free Hatch Filter Algorithm Toward Sub-Meter Train Positioning With GNSS Single- Frequency Observations Only

Adaptive Doppler‐smoothed‐code bilateral kernel regression method for single‐frequency BeiDou receiver

Improving GNSS positioning performance of Android smart devices by a novel pseudorange correction method

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