通过北斗三号精密单点定位服务信号(Precise Point Positioning B2b,PPP-B2b)差分码偏差(Differential Code Biases,DCB)对实时非组合精密单点定位(Uncombined Precise Point Positioning,UPPP)解算参数的影响进行研究。基于PPP-B2b服务...通过北斗三号精密单点定位服务信号(Precise Point Positioning B2b,PPP-B2b)差分码偏差(Differential Code Biases,DCB)对实时非组合精密单点定位(Uncombined Precise Point Positioning,UPPP)解算参数的影响进行研究。基于PPP-B2b服务的UPPP模型,分析了DCB对UPPP定位、收敛时间、对流层、钟差及斜向电离层解算的影响。在非组合模型下,采用北斗三号PPP-B2b实时精密单点定位(Real-Time Precise Point Positioning B2b,RTPPP-B2b)软件对接收机实测数据进行实验分析。实验结果表明:载波与伪距观测值权比为103∶1时,DCB对定位精度和收敛时间影响均较小,载波与伪距观测值权比为102∶1时,无DCB校正的UPPP定位误差收敛时间会变长;DCB对解算对流层天顶总延迟的影响可以忽略,对接收机钟差影响在亚纳秒级别;在使用UPPP提取斜向电离层过程中,DCB主要影响斜向电离层的计算精度。展开更多
Signals from the Global Navigation Satellite System （GNSS） scatter over the sea surface resulting in relatively low Signal-to-Noise Ratios （SNR）. A differential coherent algorithm is given here to improve the SNR ...Signals from the Global Navigation Satellite System （GNSS） scatter over the sea surface resulting in relatively low Signal-to-Noise Ratios （SNR）. A differential coherent algorithm is given here to improve the SNR and reduce the performance degradation due to the Squaring-Loss and the navigation-bit effect. The algorithm uses fast navigation-bit correction for Delay-Doppler Maps （DDM） in airborne Global Navigation Satellite Signal Reflectometry （GNSS-R） software receivers. The system model is introduced with an analysis of the statistical properties with simulations to support the theoretical analysis. Field experiments with real airborne receivers then demonstrate the effectiveness of this algorithm. Comparisons with test results show that this algorithm offers a significant SNR gain over conventional algorithms.展开更多
The Global Navigation Satellite System （GNSS） is becoming important for monitoring the variations in the earth＇s ionosphere based on the total electron content （TEC） and iono- spheric electron density （IED）. Th...The Global Navigation Satellite System （GNSS） is becoming important for monitoring the variations in the earth＇s ionosphere based on the total electron content （TEC） and iono- spheric electron density （IED）. The Crustal Movement Observation Network of China （CMONOC）, which includes GNSS stations across China's Mainland, enables the continuous monitoring of the ionosphere over China as accurately as possible. A series of approaches for GNSS-based ionospheric remote sensing and software has been proposed and devel- oped by the Institute of Geodesy and Geophysics （IGG） in Wuhan. Related achievements include the retrieval of ionospheric observables from raw GNSS data, differential code biases estimations in satellites and receivers, models of local and regional ionospheric TEC, and algorithms of ionospheric tomography. Based on these achievements, a software for processing GNSS data to determine the variations in ionospheric TEC and IED over China has been designed and developed by IGG. This software has also been installed at the CMONOC data centers belonging to the China Earthquake Administration and China Meteorological Administration. This paper briefly introduces the related research achievements and indicates potential directions of future work.展开更多
文摘通过北斗三号精密单点定位服务信号(Precise Point Positioning B2b,PPP-B2b)差分码偏差(Differential Code Biases,DCB)对实时非组合精密单点定位(Uncombined Precise Point Positioning,UPPP)解算参数的影响进行研究。基于PPP-B2b服务的UPPP模型,分析了DCB对UPPP定位、收敛时间、对流层、钟差及斜向电离层解算的影响。在非组合模型下,采用北斗三号PPP-B2b实时精密单点定位(Real-Time Precise Point Positioning B2b,RTPPP-B2b)软件对接收机实测数据进行实验分析。实验结果表明:载波与伪距观测值权比为103∶1时,DCB对定位精度和收敛时间影响均较小,载波与伪距观测值权比为102∶1时,无DCB校正的UPPP定位误差收敛时间会变长;DCB对解算对流层天顶总延迟的影响可以忽略,对接收机钟差影响在亚纳秒级别;在使用UPPP提取斜向电离层过程中,DCB主要影响斜向电离层的计算精度。
基金supported in part by the National Natural Science Foundation of China(No.61171070)the National High-Tech Research and Development Program (863) of China(No.2011AA120501)
文摘Signals from the Global Navigation Satellite System （GNSS） scatter over the sea surface resulting in relatively low Signal-to-Noise Ratios （SNR）. A differential coherent algorithm is given here to improve the SNR and reduce the performance degradation due to the Squaring-Loss and the navigation-bit effect. The algorithm uses fast navigation-bit correction for Delay-Doppler Maps （DDM） in airborne Global Navigation Satellite Signal Reflectometry （GNSS-R） software receivers. The system model is introduced with an analysis of the statistical properties with simulations to support the theoretical analysis. Field experiments with real airborne receivers then demonstrate the effectiveness of this algorithm. Comparisons with test results show that this algorithm offers a significant SNR gain over conventional algorithms.
基金partially funded by the Crustal Movement Observation Network of China(CMONOC)iGMAS,the National Basic Research Program of China(2012CB825604)+4 种基金China Natural Science Funds(41304034,41231064,41204031)China Scholarship Council,and CAS/SAFEA International Partnership Program for Creative Research Teams(KZZD-EW-TZ-05)Beijing Natural Science Funds(4144094)863programs(2012AA121803)the State Key Laboratory of Geodesy and Earth's Dynamics(SKLGED2014-3-1-E,SKLGED2014-3-7-E)
文摘The Global Navigation Satellite System （GNSS） is becoming important for monitoring the variations in the earth＇s ionosphere based on the total electron content （TEC） and iono- spheric electron density （IED）. The Crustal Movement Observation Network of China （CMONOC）, which includes GNSS stations across China's Mainland, enables the continuous monitoring of the ionosphere over China as accurately as possible. A series of approaches for GNSS-based ionospheric remote sensing and software has been proposed and devel- oped by the Institute of Geodesy and Geophysics （IGG） in Wuhan. Related achievements include the retrieval of ionospheric observables from raw GNSS data, differential code biases estimations in satellites and receivers, models of local and regional ionospheric TEC, and algorithms of ionospheric tomography. Based on these achievements, a software for processing GNSS data to determine the variations in ionospheric TEC and IED over China has been designed and developed by IGG. This software has also been installed at the CMONOC data centers belonging to the China Earthquake Administration and China Meteorological Administration. This paper briefly introduces the related research achievements and indicates potential directions of future work.
