Decimeter-level service is provided by the BeiDou satellite navigation system wide area differential service(BDS WADS)for users who collect carrier phase measurements.However,the fluctuations in Geostationary Earth Or...Decimeter-level service is provided by the BeiDou satellite navigation system wide area differential service(BDS WADS)for users who collect carrier phase measurements.However,the fluctuations in Geostationary Earth Orbit(GEO)satellite orbit errors reduce the spatial correlation of orbit errors.These fluctuations not only decrease the accuracy and stability of zone correction service provided by BDS WADS,but also shorten its effective range.In this paper,we proposed an algorithm to weaken the influence of GEO satellite orbit error fluctuations and verified the method using data from eight sparsely distributed zones.The results show that orbit errors can be stabilized using orbit fluctuation corrections,and the positioning precision and stability of the BDS WADS can be improved simultaneously.Under normal circumstances,the horizontal and vertical positioning accuracy of users within 1000 km from the center of the zone can reach 0.19 m and 0.34 m.Furthermore,the effective range is increased.The positioning performance within 1800 km could reach 0.24 m and 0.38 m for the horizontal and vertical components,respectively.展开更多
To address uncertainties in satellite orbit error prediction,this study proposes a novel ensemble learning-based orbit prediction method specifically designed for the BeiDou navigation satellite system(BDS).Building o...To address uncertainties in satellite orbit error prediction,this study proposes a novel ensemble learning-based orbit prediction method specifically designed for the BeiDou navigation satellite system(BDS).Building on ephemeris data and perturbation corrections,two new models are proposed:attention-enhanced BPNN(AEBP)and Transformer-ResNet-BiLSTM(TR-BiLSTM).These models effectively capture both local and global dependencies in satellite orbit data.To further enhance prediction accuracy and stability,the outputs of these two models were integrated using the gradient boosting decision tree(GBDT)ensemble learning method,which was optimized through a grid search.The main contribution of this approach is the synergistic combination of deep learning models and GBDT,which significantly improves both the accuracy and robustness of satellite orbit predictions.This model was validated using broadcast ephemeris data from the BDS-3 MEO and inclined geosynchronous orbit(IGSO)satellites.The results show that the proposed method achieves an error correction rate of 65.4%.This ensemble learning-based approach offers a highly effective solution for high-precision and stable satellite orbit predictions.展开更多
Global Positioning System (GPS) is a satellite-based navigation system that provides a three-dimensional user position (x,y,z), velocity and time anywhere on or above the earth surface. The satellite-based position ac...Global Positioning System (GPS) is a satellite-based navigation system that provides a three-dimensional user position (x,y,z), velocity and time anywhere on or above the earth surface. The satellite-based position accuracy is affected by several factors such as satellite clock error, propagation path delays and receiver noise due to which the GPS does not meet the requirements of critical navigation applications such as missile navigation and category I/II/III aircraft landings. This paper emphasizes on modelling the satellite clock error and orbital solution (satellite position) error considering the signal emission time. The transmission time sent by each satellite in broadcast ephemerides is not accurate. This has to be corrected in order to obtain correct satellite position and in turn a precise receiver position. Signal transmission time or broadcast time from satellite antenna phase center is computed at the receiver using several parameters such as signal reception time, propagation time, pseudorange observed and satellite clock error correction parameters. This corrected time of transmission and broadcast orbital parameters are used for estimation of the orbital solution. The estimated orbital solution was validated with the precise ephemerides which are estimated by Jet Propulsion Laboratory (JPL), USA. The errors are estimated for a typical day data collected on 11th March 2011 from dual frequency GPS receiver located at Department of Electronics and Communication Engineering, Andhra University College of Engineering, Visakhapatnam (17.73°N/83.319°E).展开更多
In the study, position and velocity values of a geostationary satellite are found. When performing this, a MATLAB algorithm is used for Runge-Kutta Fehlberg orbit integration method to solve spacecraft’s position and...In the study, position and velocity values of a geostationary satellite are found. When performing this, a MATLAB algorithm is used for Runge-Kutta Fehlberg orbit integration method to solve spacecraft’s position and velocity. Integrated method is the solution for the systems which mainly work with a single station. Method provides calculation of azimuth, elevation and range data by using the position simulation results found by RKF. Errors of orbit determination are analysed. Variances of orbit parameters are chosen as the accuracy criteria. Analysis results are the indicator of the method’s展开更多
北斗三号全球卫星导航系统(BDS-3)于2020年7月31日正式开通,其空间段服务能力是决定系统整体性能表现的重要因素.本文对广播轨道、广播钟差、空间信号测距误差、广播电离层精度的评估计算方法进行了分析,分别以GFZ(German Research Cent...北斗三号全球卫星导航系统(BDS-3)于2020年7月31日正式开通,其空间段服务能力是决定系统整体性能表现的重要因素.本文对广播轨道、广播钟差、空间信号测距误差、广播电离层精度的评估计算方法进行了分析,分别以GFZ(German Research Centre for Geosciences)和iGMAS(International GNSS Monitoring and Assessment System)的最终产品为参考基准,对系统从2020年正式开通至2025年的变化情况进行了评估分析.研究表明, BDS-3广播轨道精度呈现明显的卫星类型相关性, MEO卫星高于IGSO卫星,与GFZ产品和iGMAS产品相比,径向、切向、法向95%的RMS值均得到不同程度地改善;广播钟差误差与SISRE(Signal-InSpace Range Error) 95%的RMS值则提升了分米级的精度;电离层模型误差方面,在评估周期内, Klobuchar模型的VTEC值分布范围相对较广,低VTEC区间BDGIM模型的频次分布更为集中;与CODE和iGMAS电离层产品相比,在太阳活动极小期的2020年BDGIM(Beidou Global Lonospheric Delay Correction Model)模型VTEC平均RMS值优于Klobuchar模型,而在太阳活动极大期的2025年两模型的VTEC平均RMS值均呈上升的趋势,且BDGIM模型的稳定性更强.展开更多
GNSS的定位精度对于现代时空信息服务的众多关键应用至关重要.卫星轨道误差作为GNSS主要的误差源之一,其复杂的传播机制和空间相关性是限制高精度定位性能的关键因素.本文建立轨道误差对GNSS单点定位和相对定位精度的几何模型,详细推导...GNSS的定位精度对于现代时空信息服务的众多关键应用至关重要.卫星轨道误差作为GNSS主要的误差源之一,其复杂的传播机制和空间相关性是限制高精度定位性能的关键因素.本文建立轨道误差对GNSS单点定位和相对定位精度的几何模型,详细推导了轨道误差如何影响最终的定位结果,分别给出了轨道误差作用下单点定位误差和相对定位误差的量化公式.结合精密单点定位和相对定位的实际算例,验证了理论推导的正确性:单点定位精度与轨道误差大小及空间位置精度因子(position dilution of precision,PDOP)直接相关,而相对定位通过差分处理能有效削弱轨道误差的影响.本文旨在深化对轨道误差作用机理的理解,为GNSS数据处理中轨道误差的抑制和定位精度的进一步提升提供坚实的理论依据和有价值的实践参考.展开更多
利用CNES 1 a的实时轨道与钟差产品,以用户测距误差(user range error,URE)为评价指标,通过与事后产品对比的方法分析GPS、Galileo、BDS-2和BDS-3的故障率、故障类型、故障来源及故障排除后的精度与PPP性能。结果显示,GPS与Galileo的故...利用CNES 1 a的实时轨道与钟差产品,以用户测距误差(user range error,URE)为评价指标,通过与事后产品对比的方法分析GPS、Galileo、BDS-2和BDS-3的故障率、故障类型、故障来源及故障排除后的精度与PPP性能。结果显示,GPS与Galileo的故障率低于BDS,BDS-3与BDS-2的故障率存在显著差异;对于故障类型而言,突变故障最少,而钟差为主要故障来源(大于65%);故障排除后,GPS、Galileo、BDS-3的用户测距精度(user range accuracy,URA)均值分别为0.02 m、0.03 m、0.05 m,BDS-2中不同卫星URA差异较大。全球测站仿动态PPP测试显示,剔除卫星故障时段可有效保障定位精度。展开更多
实时轨道、钟差产品的精度和完好性是实现全球卫星导航系统精准可信定位服务的重要前提。以2022年中国科学院(Chinese Academy of Sciences,CAS)实时轨道、钟差产品为例,从产品精度及精密单点定位精度两个方面评估实时轨道、钟差产品性...实时轨道、钟差产品的精度和完好性是实现全球卫星导航系统精准可信定位服务的重要前提。以2022年中国科学院(Chinese Academy of Sciences,CAS)实时轨道、钟差产品为例,从产品精度及精密单点定位精度两个方面评估实时轨道、钟差产品性能,并根据全球均匀分布的100个虚拟测站计算得到的瞬时空间信号用户测距误差(instantaneous signal-in-space user range error,IURE),分析实时轨道、钟差产品的空间信号用户测距误差分布特性,计算CAS实时轨道、钟差产品的完好性支持信息。试验结果表明,以德国地学研究中心提供的事后精密产品为参考,GPS和Galileo的轨道精度优于5 cm,钟差标准差(standard deviation,STD)优于0.08 ns,BDS和GLONASS的轨道精度优于15 cm,STD优于0.3 ns;选取全球分布测站以静态仿动态方式进行精密单点定位测试,四系统组合定位的3D方向精度均方根(root mean square,RMS)优于4 cm,收敛时间优于11 min。GPS和Galileo的IURE RMS优于4 cm,同时IURE分布峰度基本在10以内,偏度绝对值基本在0.5以内,可接受为高斯分布;GLONASS的IURE RMS在10 cm以内,但是各卫星IURE的偏度和峰度之间差异较大,尖峰厚尾情况较为严重;BDS的IURE RMS优于11 cm,但是不同类型卫星的IURE分布不同,且BDS-3上海微小卫星工程中心的卫星具有较为明显的双峰特性。对于星座故障和卫星故障先验概率,GPS星座故障先验概率最小为5.2×10^(-5),除BDS-2外,其他系统星座故障先验概率小于1.0×10^(-3);GLONASS卫星故障先验概率达到2.7×10^(-3),Galileo卫星故障先验概率最小为8.7×10^(-4)。对于空间信号用户测距误差的包络标准差和标准差,GPS和Galileo卫星的两种标准差差异均在4 cm以内;GLONASS卫星的两种标准差差异基本大于5 cm;相较于标准差,BDS-2和BDS-3的包络标准差差异较大。展开更多
基金the National Natural Science Funds of China(Grant No.41604032).
文摘Decimeter-level service is provided by the BeiDou satellite navigation system wide area differential service(BDS WADS)for users who collect carrier phase measurements.However,the fluctuations in Geostationary Earth Orbit(GEO)satellite orbit errors reduce the spatial correlation of orbit errors.These fluctuations not only decrease the accuracy and stability of zone correction service provided by BDS WADS,but also shorten its effective range.In this paper,we proposed an algorithm to weaken the influence of GEO satellite orbit error fluctuations and verified the method using data from eight sparsely distributed zones.The results show that orbit errors can be stabilized using orbit fluctuation corrections,and the positioning precision and stability of the BDS WADS can be improved simultaneously.Under normal circumstances,the horizontal and vertical positioning accuracy of users within 1000 km from the center of the zone can reach 0.19 m and 0.34 m.Furthermore,the effective range is increased.The positioning performance within 1800 km could reach 0.24 m and 0.38 m for the horizontal and vertical components,respectively.
基金funded by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA28040300)Project for Guangxi Science and Technology Base,and Talents(Grant No.GK AD22035957)+1 种基金the Informatization Plan of the Chinese Academy of Sciences(Grant No.CAS-WX2021SF-0304)the West Light Foundation of the ChineseAcademy of Sciences(Grant No.XAB2021YN19).
文摘To address uncertainties in satellite orbit error prediction,this study proposes a novel ensemble learning-based orbit prediction method specifically designed for the BeiDou navigation satellite system(BDS).Building on ephemeris data and perturbation corrections,two new models are proposed:attention-enhanced BPNN(AEBP)and Transformer-ResNet-BiLSTM(TR-BiLSTM).These models effectively capture both local and global dependencies in satellite orbit data.To further enhance prediction accuracy and stability,the outputs of these two models were integrated using the gradient boosting decision tree(GBDT)ensemble learning method,which was optimized through a grid search.The main contribution of this approach is the synergistic combination of deep learning models and GBDT,which significantly improves both the accuracy and robustness of satellite orbit predictions.This model was validated using broadcast ephemeris data from the BDS-3 MEO and inclined geosynchronous orbit(IGSO)satellites.The results show that the proposed method achieves an error correction rate of 65.4%.This ensemble learning-based approach offers a highly effective solution for high-precision and stable satellite orbit predictions.
文摘Global Positioning System (GPS) is a satellite-based navigation system that provides a three-dimensional user position (x,y,z), velocity and time anywhere on or above the earth surface. The satellite-based position accuracy is affected by several factors such as satellite clock error, propagation path delays and receiver noise due to which the GPS does not meet the requirements of critical navigation applications such as missile navigation and category I/II/III aircraft landings. This paper emphasizes on modelling the satellite clock error and orbital solution (satellite position) error considering the signal emission time. The transmission time sent by each satellite in broadcast ephemerides is not accurate. This has to be corrected in order to obtain correct satellite position and in turn a precise receiver position. Signal transmission time or broadcast time from satellite antenna phase center is computed at the receiver using several parameters such as signal reception time, propagation time, pseudorange observed and satellite clock error correction parameters. This corrected time of transmission and broadcast orbital parameters are used for estimation of the orbital solution. The estimated orbital solution was validated with the precise ephemerides which are estimated by Jet Propulsion Laboratory (JPL), USA. The errors are estimated for a typical day data collected on 11th March 2011 from dual frequency GPS receiver located at Department of Electronics and Communication Engineering, Andhra University College of Engineering, Visakhapatnam (17.73°N/83.319°E).
文摘In the study, position and velocity values of a geostationary satellite are found. When performing this, a MATLAB algorithm is used for Runge-Kutta Fehlberg orbit integration method to solve spacecraft’s position and velocity. Integrated method is the solution for the systems which mainly work with a single station. Method provides calculation of azimuth, elevation and range data by using the position simulation results found by RKF. Errors of orbit determination are analysed. Variances of orbit parameters are chosen as the accuracy criteria. Analysis results are the indicator of the method’s
文摘北斗三号全球卫星导航系统(BDS-3)于2020年7月31日正式开通,其空间段服务能力是决定系统整体性能表现的重要因素.本文对广播轨道、广播钟差、空间信号测距误差、广播电离层精度的评估计算方法进行了分析,分别以GFZ(German Research Centre for Geosciences)和iGMAS(International GNSS Monitoring and Assessment System)的最终产品为参考基准,对系统从2020年正式开通至2025年的变化情况进行了评估分析.研究表明, BDS-3广播轨道精度呈现明显的卫星类型相关性, MEO卫星高于IGSO卫星,与GFZ产品和iGMAS产品相比,径向、切向、法向95%的RMS值均得到不同程度地改善;广播钟差误差与SISRE(Signal-InSpace Range Error) 95%的RMS值则提升了分米级的精度;电离层模型误差方面,在评估周期内, Klobuchar模型的VTEC值分布范围相对较广,低VTEC区间BDGIM模型的频次分布更为集中;与CODE和iGMAS电离层产品相比,在太阳活动极小期的2020年BDGIM(Beidou Global Lonospheric Delay Correction Model)模型VTEC平均RMS值优于Klobuchar模型,而在太阳活动极大期的2025年两模型的VTEC平均RMS值均呈上升的趋势,且BDGIM模型的稳定性更强.
文摘GNSS的定位精度对于现代时空信息服务的众多关键应用至关重要.卫星轨道误差作为GNSS主要的误差源之一,其复杂的传播机制和空间相关性是限制高精度定位性能的关键因素.本文建立轨道误差对GNSS单点定位和相对定位精度的几何模型,详细推导了轨道误差如何影响最终的定位结果,分别给出了轨道误差作用下单点定位误差和相对定位误差的量化公式.结合精密单点定位和相对定位的实际算例,验证了理论推导的正确性:单点定位精度与轨道误差大小及空间位置精度因子(position dilution of precision,PDOP)直接相关,而相对定位通过差分处理能有效削弱轨道误差的影响.本文旨在深化对轨道误差作用机理的理解,为GNSS数据处理中轨道误差的抑制和定位精度的进一步提升提供坚实的理论依据和有价值的实践参考.
文摘利用CNES 1 a的实时轨道与钟差产品,以用户测距误差(user range error,URE)为评价指标,通过与事后产品对比的方法分析GPS、Galileo、BDS-2和BDS-3的故障率、故障类型、故障来源及故障排除后的精度与PPP性能。结果显示,GPS与Galileo的故障率低于BDS,BDS-3与BDS-2的故障率存在显著差异;对于故障类型而言,突变故障最少,而钟差为主要故障来源(大于65%);故障排除后,GPS、Galileo、BDS-3的用户测距精度(user range accuracy,URA)均值分别为0.02 m、0.03 m、0.05 m,BDS-2中不同卫星URA差异较大。全球测站仿动态PPP测试显示,剔除卫星故障时段可有效保障定位精度。
文摘实时轨道、钟差产品的精度和完好性是实现全球卫星导航系统精准可信定位服务的重要前提。以2022年中国科学院(Chinese Academy of Sciences,CAS)实时轨道、钟差产品为例,从产品精度及精密单点定位精度两个方面评估实时轨道、钟差产品性能,并根据全球均匀分布的100个虚拟测站计算得到的瞬时空间信号用户测距误差(instantaneous signal-in-space user range error,IURE),分析实时轨道、钟差产品的空间信号用户测距误差分布特性,计算CAS实时轨道、钟差产品的完好性支持信息。试验结果表明,以德国地学研究中心提供的事后精密产品为参考,GPS和Galileo的轨道精度优于5 cm,钟差标准差(standard deviation,STD)优于0.08 ns,BDS和GLONASS的轨道精度优于15 cm,STD优于0.3 ns;选取全球分布测站以静态仿动态方式进行精密单点定位测试,四系统组合定位的3D方向精度均方根(root mean square,RMS)优于4 cm,收敛时间优于11 min。GPS和Galileo的IURE RMS优于4 cm,同时IURE分布峰度基本在10以内,偏度绝对值基本在0.5以内,可接受为高斯分布;GLONASS的IURE RMS在10 cm以内,但是各卫星IURE的偏度和峰度之间差异较大,尖峰厚尾情况较为严重;BDS的IURE RMS优于11 cm,但是不同类型卫星的IURE分布不同,且BDS-3上海微小卫星工程中心的卫星具有较为明显的双峰特性。对于星座故障和卫星故障先验概率,GPS星座故障先验概率最小为5.2×10^(-5),除BDS-2外,其他系统星座故障先验概率小于1.0×10^(-3);GLONASS卫星故障先验概率达到2.7×10^(-3),Galileo卫星故障先验概率最小为8.7×10^(-4)。对于空间信号用户测距误差的包络标准差和标准差,GPS和Galileo卫星的两种标准差差异均在4 cm以内;GLONASS卫星的两种标准差差异基本大于5 cm;相较于标准差,BDS-2和BDS-3的包络标准差差异较大。
