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Estimation of GPS Differential Code Biases Based on Independent Reference Station and Recursive Filter

Yuan, Liangliang and Jin, Shuanggen and Hoque, Mohammed Mainul (2020) Estimation of GPS Differential Code Biases Based on Independent Reference Station and Recursive Filter. Remote Sensing. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs12060951. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/12/6/951

Abstract

The differential code bias (DCB) of the Global Navigation Satellite Systems (GNSS) receiver should be precisely corrected when conducting ionospheric remote sensing and precise point positioning. The DCBs can usually be estimated by the ground GNSS network based on the parameterization of the global ionosphere together with the global ionospheric map (GIM). In order to reduce the spatial-temporal complexities, various algorithms based on GIM and local ionospheric modeling are conducted, but rely on station selection. In this paper, we present a recursive method to estimate the DCBs of Global Positioning System (GPS) satellites based on a recursive filter and independent reference station selection procedure. The satellite and receiver DCBs are estimated once per local day and aligned with the DCB product provided by the Center for Orbit Determination in Europe (CODE). From the statistical analysis with CODE DCB products, the results show that the accuracy of GPS satellite DCB estimates obtained by the recursive method can reach about 0.10 ns under solar quiet condition. The influence of stations with bad performances on DCB estimation can be reduced through the independent iterative reference selection. The accuracy of local ionospheric modeling based on recursive filter is less than 2 Total Electron Content Unit (TECU) in the monthly median sense. The performance of the recursive method is also evaluated under different solar conditions and the results show that the local ionospheric modeling is sensitive to solar conditions. Moreover, the recursive method has the potential to be implemented in the near real-time DCB estimation and GNSS data quality check

Item URL in elib:https://elib.dlr.de/136036/
Document Type:Article
Title:Estimation of GPS Differential Code Biases Based on Independent Reference Station and Recursive Filter
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Yuan, Liangliang袁靓亮 <121210040 (at) smail.nju.edu.cn>UNSPECIFIED
Jin, ShuanggenShuanggen Jin <sgjin (at) shao.ac.cn>UNSPECIFIED
Hoque, Mohammed MainulMainul.Hoque (at) dlr.deUNSPECIFIED
Date:2020
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.3390/rs12060951
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:global positioning system (GPS); differential code bias (DCB); recursive filter; reference station selection
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Monitoring and Data Evaluation (old)
Location: Neustrelitz
Institutes and Institutions:Institute for Solar-Terrestrial Physics > Space Weather Observation
Deposited By: Hoque, Mohammed Mainul
Deposited On:01 Oct 2020 11:22
Last Modified:01 Oct 2020 11:22

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