A method of estimating GPS instrumental biases with a convolution algorithm

Li, Qi; Ma, Guanyi; Lu, Weijun; Wan, Qingtao; Fan, Jiangtao; Wang, Xiaolan; Li, Jinghua; Li, Changhua

doi:10.1016/j.asr.2017.11.034

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…These methods are usually based on the assumption that the DCBs of each satellite/receiver remain unchanged for a period of time. The DCBs were assumed to remain unchanged over several hours (Li et al 2015), over an entire day (e.g., Arikan et al 2008;Ma and Maruyama 2003;Li et al 2018), over several days (Otsuka et al 2002) or even over several months (Han et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…A well trained multilayer neural network, which is equivalent to a nonlinear, smooth and interpolated function, was applied to VTEC and DCB estimation (Ma et al 2005;Perez 2019). Assuming that VTEC is smoothed in a small area, DCBs were estimated by constructing convolution equation set with over 1300 Global Navigation Satellite System Earth Observation Network of Japan (GEONET) stations (Li et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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High-precision VTEC derivation with GEONET

Maruyama

et al. 2020

Earth Planets Space

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This paper proposes a new technique, namely Phase bias-based Small Grid Model (PSGM), to derive absolute ionospheric vertical total electron content (VTEC) with observations of Global Navigation Satellite System Earth Observation Network of Japan (GEONET). The proposed technique deals with the phase observations alone without handling the pseudoranges, which reduces the noise in VTEC estimation. A new parameter, the arc bias (B arc), is introduced to combine the phase ambiguities and differential phase biases. To solve B arc , equations are constructed under the assumption that the VTEC is identical in the same 0.1° × 0.1° grid. The performance of PSGM is evaluated with the observations in solar maximum year 2014. The root mean square error (RMSE) of PSGM is 0.40 TECU in average, the maximum RMSE is 0.73 TECU and the minimum RMSE is 0.26 TECU. The fitting accuracy of the VTEC results is improved compared with most of the existing methods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High-precision VTEC derivation with GEONET

Maruyama

et al. 2020

Earth Planets Space

Self Cite

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“…Recently a lot of article have been published containing new results on DCB and DCB estimation, for example applying convolution algorithm (Q. Li et al, 2018 ), applying SH along with trigonometric series (Z. Li et al, 2015), applying spherical cap harmonic for regional modeling (Liu et al, 2010), using combination of Minimum scalloping/Least squares/ Zero TEC method (Rideout & Coster, 2006), as well as indicating problems and solution for Compass/Beidou DCB (Z. Li et al,…”

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confidence: 99%

Comment on “Estimating Satellite and Receiver Differential Code Bias Using Relative GPS Network” (by Alaa A. Elghazouly, Mohamed I. Doma, Ahmed A. Sedeek)

Anonymous

2019

Preprint

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In the article the authors suggested a technique for "Estimating Satellite and Receiver Differential Code Bias". While the problem of DCB estimation is important enough it is difficult to find what new was done in the article. The authors used well-known approach based on spherical harmonics (SH), which was suggested by S. Schaer et al. (1998). Similar approach based on SH was used for M_DCB: MATLAB code by Jin et al. (2012). Recently a lot of article have been published containing new results on DCB and DCB estimation, for example applying convolution algorithm (Q. Li et al., 2018 ), applying SH along with trigonometric series (Z. Li et al., 2015), applying spherical cap harmonic for regional modeling (Liu et al., 2010), using combination of Minimum scalloping/Least squares/ Zero TEC method (Rideout & Coster, 2006), as well as indicating problems and solution for Compass/Beidou DCB (Z. Li et al.,

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A Vector Ionospheric Delay Correction Method for GNSS Positioning and Navigation Wide Area Augmentation Service

Zhang

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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A new ionospheric delay correction method is proposed to improve the ionospheric correction accuracy of single frequency GNSS users. In the new method, the ionospheric grid point information is expanded from a single scalar vertical correction parameter to a vector of triple elements (the triple): vertical correction parameter, north correction parameter and east correction parameter. The new parameters are used to describe the variation of ionospheric delay correction caused by satellite azimuth. Using the observation data of the ground monitoring stations to fit the triple, and then broadcast the triple to the user. GNSS single frequency users can use the triple data to correct their own ionospheric delay. The testing results show that the correction error of the method is around 0.3 m lower than that of the scalar method.

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A method of estimating GPS instrumental biases with a convolution algorithm

Cited by 4 publications

References 21 publications

High-precision VTEC derivation with GEONET

High-precision VTEC derivation with GEONET

Comment on “Estimating Satellite and Receiver Differential Code Bias Using Relative GPS Network” (by Alaa A. Elghazouly, Mohamed I. Doma, Ahmed A. Sedeek)

A Vector Ionospheric Delay Correction Method for GNSS Positioning and Navigation Wide Area Augmentation Service

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