In order to study the temporal and spatial variation characteristics of the regional ionosphere and the modeling accuracy,the experiment is based on the spherical harmonic function model,using the GPS,Glonass,and Gali...In order to study the temporal and spatial variation characteristics of the regional ionosphere and the modeling accuracy,the experiment is based on the spherical harmonic function model,using the GPS,Glonass,and Galileo dual-frequency observation data from the 305th-334th day of the European CORS network in 2019 to establish a global ionospheric model.By analyzing and evaluating the accuracy of the global ionospheric puncture points,VTEC,and comparing code products,the test results showed that the GPS system has the most dense puncture electricity distribution,the Glonass system is the second,and the Galileo system is the weakest.The values of ionospheric VTEC calculated by GPS,Glonass and Galileo are slightly different,but in terms of trends,they are the same as those of ESA,JPL and UPC.GPS data has the highest accuracy in global ionospheric modeling.GPS,Glonass and Galileo have the same trend,but Glonass data is unstable and fluctuates greatly.展开更多
Ionospheric delay error is considered to be one of the most prominent factors impacting the Global Navigation Satellite Systems(GNSS) positioning and navigation accuracies. Due to dispersive nature and anisotropic of ...Ionospheric delay error is considered to be one of the most prominent factors impacting the Global Navigation Satellite Systems(GNSS) positioning and navigation accuracies. Due to dispersive nature and anisotropic of the ionosphere above certain regions, the positioning accuracy is seriously affected when using a precision-limited model. In this paper, an attempt has been taken to estimate ionosphere-delays based on Planar Fit(PF) and Spherical Harmonic Function(SHF) models by applying the commonly used single layer Model(SLM) and an extended single layer model(ESLM) which has been explored sparsely over the region. The results show that ESLM of PF and SHF techniques performed better in estimating ionospheric delay compared to the existing SLM model. Although the performance of the ESLM approach is almost comparable to the SLM results during the quiet ionospheric conditions, the ESLM-PF and ESLMSHF models led to respective improvements of 4.66% and 7.14% over the classically used SLM model under the disturbed ionospheric conditions. In view of the uneven variability of equatorial/low latitude ionosphere above the Indian subcontinental region, the suitability of ESLM-PF and ESLM-SHF models has been emphasized and suggested for assessing its completeness and reliableness across other parts of the globe. The output of this work may be useful for high precession GNSS positioning through mitigating the ionospheric delays under quiet as well as varied ionospheric conditions across the low/equatorial latitude regions.展开更多
为了提高中国区域电离层垂直总电子含量(vertical total electron content,VTEC)建模的精度,减少区域建模边缘误差,利用中国地壳运动观测网络(Crustal Movement Observation Network of China,CMONOC)和国际GNSS服务组织(International ...为了提高中国区域电离层垂直总电子含量(vertical total electron content,VTEC)建模的精度,减少区域建模边缘误差,利用中国地壳运动观测网络(Crustal Movement Observation Network of China,CMONOC)和国际GNSS服务组织(International GNSS Service,IGS)GPS数据联合进行电离层建模,并对中国区域电离层建模策略进行定量考察,对比给出各类建模策略对中国区域电离层建模精度的影响,从而给出更符合中国区域的电离层建模方式。将建模后的结果同IGS中心的全球电离层格网产品进行比对,结果显示:基于本文方法对中国区域电离层建模的结果精度更高,与IGS数据中心发布的电离层格网产品相比误差平均值为1.2109 TECU,与卫星实测电离层TEC的内符合精度误差为1.050 TECU。说明利用联合数据建模能一定程度上提高中国区域建模的精度,同时减少区域建模边缘的误差。展开更多
基金Key Research and Development Program of Liaoning Province(2020JH2/10100044)National Natural Science Foundation of China(41904037)National Key Basic Research and Development Program(973 Program)(2016YFC0803102)。
文摘In order to study the temporal and spatial variation characteristics of the regional ionosphere and the modeling accuracy,the experiment is based on the spherical harmonic function model,using the GPS,Glonass,and Galileo dual-frequency observation data from the 305th-334th day of the European CORS network in 2019 to establish a global ionospheric model.By analyzing and evaluating the accuracy of the global ionospheric puncture points,VTEC,and comparing code products,the test results showed that the GPS system has the most dense puncture electricity distribution,the Glonass system is the second,and the Galileo system is the weakest.The values of ionospheric VTEC calculated by GPS,Glonass and Galileo are slightly different,but in terms of trends,they are the same as those of ESA,JPL and UPC.GPS data has the highest accuracy in global ionospheric modeling.GPS,Glonass and Galileo have the same trend,but Glonass data is unstable and fluctuates greatly.
文摘Ionospheric delay error is considered to be one of the most prominent factors impacting the Global Navigation Satellite Systems(GNSS) positioning and navigation accuracies. Due to dispersive nature and anisotropic of the ionosphere above certain regions, the positioning accuracy is seriously affected when using a precision-limited model. In this paper, an attempt has been taken to estimate ionosphere-delays based on Planar Fit(PF) and Spherical Harmonic Function(SHF) models by applying the commonly used single layer Model(SLM) and an extended single layer model(ESLM) which has been explored sparsely over the region. The results show that ESLM of PF and SHF techniques performed better in estimating ionospheric delay compared to the existing SLM model. Although the performance of the ESLM approach is almost comparable to the SLM results during the quiet ionospheric conditions, the ESLM-PF and ESLMSHF models led to respective improvements of 4.66% and 7.14% over the classically used SLM model under the disturbed ionospheric conditions. In view of the uneven variability of equatorial/low latitude ionosphere above the Indian subcontinental region, the suitability of ESLM-PF and ESLM-SHF models has been emphasized and suggested for assessing its completeness and reliableness across other parts of the globe. The output of this work may be useful for high precession GNSS positioning through mitigating the ionospheric delays under quiet as well as varied ionospheric conditions across the low/equatorial latitude regions.
文摘为了提高中国区域电离层垂直总电子含量(vertical total electron content,VTEC)建模的精度,减少区域建模边缘误差,利用中国地壳运动观测网络(Crustal Movement Observation Network of China,CMONOC)和国际GNSS服务组织(International GNSS Service,IGS)GPS数据联合进行电离层建模,并对中国区域电离层建模策略进行定量考察,对比给出各类建模策略对中国区域电离层建模精度的影响,从而给出更符合中国区域的电离层建模方式。将建模后的结果同IGS中心的全球电离层格网产品进行比对,结果显示:基于本文方法对中国区域电离层建模的结果精度更高,与IGS数据中心发布的电离层格网产品相比误差平均值为1.2109 TECU,与卫星实测电离层TEC的内符合精度误差为1.050 TECU。说明利用联合数据建模能一定程度上提高中国区域建模的精度,同时减少区域建模边缘的误差。
