BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements

This study validated and investigated elevation- and frequency-dependent systematic biases observed in ground-based code measurements of the Chinese BeiDou navigation satellite system, using the onboard BeiDou code measurement data from the Chinese meteorological satellite Fengyun-3C. Particularly f...

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Main Authors: Kecai Jiang, Min Li, Qile Zhao, Wenwen Li, Xiang Guo
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/11/2460
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author Kecai Jiang
Min Li
Qile Zhao
Wenwen Li
Xiang Guo
author_facet Kecai Jiang
Min Li
Qile Zhao
Wenwen Li
Xiang Guo
author_sort Kecai Jiang
collection DOAJ
description This study validated and investigated elevation- and frequency-dependent systematic biases observed in ground-based code measurements of the Chinese BeiDou navigation satellite system, using the onboard BeiDou code measurement data from the Chinese meteorological satellite Fengyun-3C. Particularly for geostationary earth orbit satellites, sky-view coverage can be achieved over the entire elevation and azimuth angle ranges with the available onboard tracking data, which is more favorable to modeling code biases. Apart from the BeiDou-satellite-induced biases, the onboard BeiDou code multipath effects also indicate pronounced near-field systematic biases that depend only on signal frequency and the line-of-sight directions. To correct these biases, we developed a proposed code correction model by estimating the BeiDou-satellite-induced biases as linear piece-wise functions in different satellite groups and the near-field systematic biases in a grid approach. To validate the code bias model, we carried out orbit determination using single-frequency BeiDou data with and without code bias corrections applied. Orbit precision statistics indicate that those code biases can seriously degrade single-frequency orbit determination. After the correction model was applied, the orbit position errors, 3D root mean square, were reduced from 150.6 to 56.3 cm.
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spelling doaj.art-c491ca1a9b0f4c53b794c362582d12c72022-12-22T04:22:25ZengMDPI AGSensors1424-82202017-10-011711246010.3390/s17112460s17112460BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard MeasurementsKecai Jiang0Min Li1Qile Zhao2Wenwen Li3Xiang Guo4GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaThis study validated and investigated elevation- and frequency-dependent systematic biases observed in ground-based code measurements of the Chinese BeiDou navigation satellite system, using the onboard BeiDou code measurement data from the Chinese meteorological satellite Fengyun-3C. Particularly for geostationary earth orbit satellites, sky-view coverage can be achieved over the entire elevation and azimuth angle ranges with the available onboard tracking data, which is more favorable to modeling code biases. Apart from the BeiDou-satellite-induced biases, the onboard BeiDou code multipath effects also indicate pronounced near-field systematic biases that depend only on signal frequency and the line-of-sight directions. To correct these biases, we developed a proposed code correction model by estimating the BeiDou-satellite-induced biases as linear piece-wise functions in different satellite groups and the near-field systematic biases in a grid approach. To validate the code bias model, we carried out orbit determination using single-frequency BeiDou data with and without code bias corrections applied. Orbit precision statistics indicate that those code biases can seriously degrade single-frequency orbit determination. After the correction model was applied, the orbit position errors, 3D root mean square, were reduced from 150.6 to 56.3 cm.https://www.mdpi.com/1424-8220/17/11/2460BeiDou code biasesFengyun-3Conboard BeiDousingle-frequency orbit determination
spellingShingle Kecai Jiang
Min Li
Qile Zhao
Wenwen Li
Xiang Guo
BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements
Sensors
BeiDou code biases
Fengyun-3C
onboard BeiDou
single-frequency orbit determination
title BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements
title_full BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements
title_fullStr BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements
title_full_unstemmed BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements
title_short BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements
title_sort beidou geostationary satellite code bias modeling using fengyun 3c onboard measurements
topic BeiDou code biases
Fengyun-3C
onboard BeiDou
single-frequency orbit determination
url https://www.mdpi.com/1424-8220/17/11/2460
work_keys_str_mv AT kecaijiang beidougeostationarysatellitecodebiasmodelingusingfengyun3conboardmeasurements
AT minli beidougeostationarysatellitecodebiasmodelingusingfengyun3conboardmeasurements
AT qilezhao beidougeostationarysatellitecodebiasmodelingusingfengyun3conboardmeasurements
AT wenwenli beidougeostationarysatellitecodebiasmodelingusingfengyun3conboardmeasurements
AT xiangguo beidougeostationarysatellitecodebiasmodelingusingfengyun3conboardmeasurements