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1.
在北斗导航卫星伪距码偏差特性分析的基础上,建立了倾斜地球同步轨道卫星(IGSO)和中轨卫星(MEO)的伪距码偏差多项式改正模型;并利用星间单差宽巷小数周一致性,分析建立北斗地球同步轨道卫星(GEO)卫星伪距码偏差改正模型。采用武汉大学北斗试验网、中国陆态网络和MGEX网不同位置、不同类型接收机观测数据进行分析验证,结果表明,北斗卫星伪距码偏差特性与观测值频率、卫星类型相关,所有GEO和IGSO卫星变化规律相同,所有MEO卫星变化规律相同,与接收机类型、测站位置和观测时间无关,偏差值大小随卫星高度角变化,其变化规律稳定,可以采用建立的两类改正模型(GEO/IGSO和MEO)进行修正。通过偏差修正后的伪距无电离层组合的残差、双频SPP以及单频PPP三个方面验证了伪距码偏差改正模型的正确性。  相似文献   

2.
北斗倾斜地球同步轨道(inclined geosynchronous orbit,IGSO)卫星和中轨(medium earth orbit,MEO)卫星的伪距码观测值存在系统性偏差,针对该偏差的现有建模方法(两步法)包含模糊度消除策略的误差,提出了一种基于历元间差分的一步建模方法,建立了同类型卫星整体的伪距码偏差三次多项式改正模型,并与现有的离散点改正模型进行对比。同时,针对每颗IGSO/MEO卫星的独特性,利用一步法逐卫星建模并评估其改正效果。结果表明,相对于现有的离散点改正模型,精化模型将IGSO/MEO卫星的Melbourne-Wübbena(MW)值的稳定性平均提高了23.88%,C08卫星的提高幅度最大,约为32.26%。  相似文献   

3.
针对北斗第二代导航卫星系统的伪距观测值中存在与卫星相关的系统性伪距偏差的问题,该文提出采用加权分段曲线建模方法建立北斗IGSO/MEO卫星观测数据三频改正模型。试验表明,改正后IGSO与MEO卫星的伪距偏差明显削弱。针对GEO卫星伪距偏差问题,提出了一种基于Tikhonov正则化的建模方法;修正后的GEO卫星MP序列的RMS在B1、B2、B3频率上分别下降了35.9%、29.6%、35.8%。为了验证策略的可行性,设计了3套单频PPP定位方案,结果表明:通过改正IGSO/MEO卫星伪距偏差,N、E方向定位精度平均提高了20.2%和13.4%,U方向定位精度平均提高了62.8%;同时改正GEO/IGSO/MEO卫星的伪距偏差时,U方向的定位精度将进一步提高至70%左右。因此本研究提出的BDS-2卫星伪距观测值的修正模型,能有效减弱这些伪距偏差的影响。  相似文献   

4.
由于北斗地球静止轨道(geostationary earth orbiting,GEO)卫星轨道精度较低且其观测值受多路径误差和伪距偏差影响严重,目前各分析中心尚未针对北斗GEO卫星提供长期稳定的相位小数偏差(uncalibrated phase delay,UPD)产品,北斗精密单点定位(precise point positioning,PPP)模糊度固定技术研究主要针对倾斜轨道(inclined geosynchronous orbiting,IGSO)和中地球轨道(medium earth orbiting,MEO)卫星。本文采用Wanninger和Beer的高度角模型消除了IGSO/MEO观测值伪距偏差,并通过小波变换提取低频分量修正伪距观测值的方法削弱了GEO卫星多路径和伪距偏差的影响。由于窄巷UPD估值受未模型化误差影响较大,本文改进了窄巷UPD估计的策略,该策略利用上一历元成功估计的窄巷UPD对当前历元的浮点模糊度进行改正,剔除了残差较大的浮点模糊度,修正固定错误的整周模糊度,从而提高了窄巷UPD的精度和稳定性。利用估计得到的UPD产品,本文实现了联合GEO、IGSO和MEO卫星的北斗非差PPP模糊度固定,并对其定位性能进行分析。结果表明:联合GEO、IGSO和MEO卫星的PPP固定解的首次固定时间和收敛时间均可以缩短到30 min以内;6 h后的E、N、U方向的定位误差由(1.35、0.35、2.75)cm减少到(1.07、0.26、2.24)cm,分别减少了20%、27%和18%。  相似文献   

5.
北斗卫星伪距观测值存在一类与卫星相关的系统误差,称为星源伪距偏差,MEO和IGSO卫星可以通过其与高度角的关系建立改正模型,而GEO卫星由于其静止特性难以建立基于高度角的改正模型。据此,本文在分析GEO卫星伪距偏差特性的基础上,提出了一种基于奇异谱分析(SSA)的修正方法,并通过双频无电离层组合伪距单点定位(SPP)对比试验来验证修正效果。结果表明:修正后GEO卫星伪距观测值基本上消除了伪距偏差,MP观测值精度在B1、B2、B3频率上分别提高了39.9%、17.9%、29.4%,MW观测值精度提高了41.3%;传统改正模型修正IGSO和MEO卫星伪距偏差对SPP影响很小,而奇异谱分析方法修正GEO卫星伪距偏差使SPP的精度在平面、高程方向上分别提高了11.1%、21.1%。  相似文献   

6.
针对北斗三号(BDS-3)不同类型卫星对北斗二号(BDS-2)伪距单点定位性能的影响,基于iGMAS机构发布的跟踪站实测数据,分析了BDS-3地球静止轨道(GEO)、倾斜地球同步轨道(IGSO)、中圆轨道(MEO)、全部BDS-3卫星对BDS-2卫星可见数、位置精度因子(PDOP)值以及伪距单点定位精度的影响.经研究发现,BDS-3不同卫星对BDS-2卫星可见数、卫星空间几何结构以及伪距单点定位精度提升程度不同,MEO卫星的提升程度优于IGSO卫星和GEO卫星,三种类型卫星对BDS-2定位性能提升量之和与全部BDS-3卫星对BDS-2定位性能提升量相当.   相似文献   

7.
BDS不同轨道卫星精密单点定位性能分析   总被引:1,自引:0,他引:1  
为了分析北斗不同轨道卫星对定位结果的影响,从而更好地利用我国自主研发的北斗卫星导航系统。该文采用亚太地区7个MGEX测站12d观测数据,进行静态、后处理动态和模拟实时动态3种模式的精密单点定位实验。实验结果表明,在北斗3类轨道卫星等权的情况下,倾斜地球同步轨道(IGSO)卫星对定位结果贡献最大;北斗两类轨道卫星组合中,IGSO+MEO组合定位精度最高,其静态精密单点定位(PPP)在E、N、U方向的RMS分别为0.62、0.39、3.71cm,后处理动态和模拟实时动态PPP的RMS为分米级;北斗各类轨道卫星与GPS组合定位中,GPS+IGSO+MEO组合定位结果收敛速度最快,收敛时间为26.30min。  相似文献   

8.
汪捷  何锡扬 《测绘学报》2017,46(7):841-847
北斗伪距观测值存在特有的多路径系统性偏差,偏差的数量级达到几个分米到米。该系统偏差可分为两类:一类是IGSO/MEO卫星随高度角变化的伪距系统性偏差;另一类是GEO卫星(高度角仅微小变化)明显的伪距系统性偏差。系统性的伪距偏差导致GEO卫星MP序列的标准偏差较大,本文针对GEO卫星伪距偏差问题提出了一种基于卡尔曼滤波的修正方法,修正后的GEO卫星MP序列的标准偏差下降了10%~16%。基于伪距相位组合的单频PPP技术的伪距权重较大,会受到北斗伪距偏差的影响,分析表明该系统性偏差将导致单频PPP定位结果高程方向产生约1m的偏差。对GEO伪距偏差采用提出的卡尔曼滤波修正方法进行修正,并应用Wanninger和Beer的高度角模型消除IGSO/MEO观测值伪距偏差,本文对修正后的单频精密单点定位精度进行了分析。4个multi-GNSS experiment(MGEX)站10d观测数据的分析结果表明:仅改正和卫星多路径误差,高程方向定位结果精度可改善65%左右;采用本文方法对GEO卫星的多路径修正后,该方向定位结果精度改善比例将进一步提高至75%左右。  相似文献   

9.
针对北斗卫星导航系统的卫星姿态模型、天线相位中心改正及卫星定轨数据处理策略未统一的现状,该文对比分析了武汉大学和德国地学研究中心提供的北斗事后精密轨道和钟差产品的差异及精度,结合实测数据,通过分析精密单点定位的定位精度来比较两中心精密轨道和钟差的差异。实验结果表明:北斗卫星的精密轨道精度与轨道类型有关,地球静止轨道(GEO)卫星的轨道精度为米级,倾斜地球同步轨道(IGSO)卫星的轨道精度为分米级,中地球轨道(MEO)卫星切向、法向和径向的精度分别为10.81、5.41和3.37cm;GEO卫星钟差精度优于0.38ns,IGSO卫星钟差优于0.25ns,MEO卫星钟差优于0.15ns;两家分析中心产品的北斗静态精密单点定位的平面精度相当;北斗静态精密单点定位的RMS统计值平面精度优于3cm,三维精度优于7cm。  相似文献   

10.
北斗二号系统伪距观测值中存在一种星源性的系统性偏差,也称为伪距偏差。文中基于全球10个IGS跟踪站的观测数据对伪距偏差进行分析,通过观察不同系统、不同卫星在不同时间、不同测站的MP组合,验证仅北斗二号系统存在伪距偏差,其中IGSO和MEO卫星的伪距偏差与高度角呈负相关,与观测时间和观测地点无关;GEO卫星的伪距偏差存在周期性规律,但不同站、不同时间差异较大。使用10个IGS站2020和2021两年的观测数据对伪距偏差进行建模,使用该模型修复伪距偏差后,发现伪距中与高度角相关的系统性误差被消除,PPP试验高程方向上平均精度提升31.7%,说明模型可以有效修复伪距偏差。  相似文献   

11.
GPS precise point positioning (PPP) ambiguity resolution (AR) can improve the positioning accuracy and shorten the convergence time. However, for the BeiDou Satellite Navigation System (BDS), the problems of satellite-induced code bias, imperfections in the error models and the inadequate accuracy of orbit products limit the applications of the BDS PPP AR system, which requires more than 6 h to achieve the first ambiguity-fixed solution. In this study, the accuracy of a wide-lane (WL) uncalibrated phase delay (UPD) is improved after careful consideration of the code bias and multipath. Meanwhile, the accuracy of the BDS float ambiguity is also improved by multi-GNSS fusion and improved precise orbit and clock products, which are critical for high-quality narrow-lane (NL) UPD estimations. With three tracking networks of different scales, including Hong Kong, the Crustal Movement Observation Network of China (CMONOC) and the multi-GNSS experiment (MGEX) networks, the spatial–temporal characteristics of WL and NL UPDs for BDS GEO/IGSO/MEO satellites are analyzed, and the PPP AR is performed. Numerous results show that WL and NL UPDs with a standard deviation (STD) of less than 0.15 cycles can be achieved for BDS GEO satellites, while a STD of less than 0.1 cycles can be obtained for IGSO and MEO satellites. With the precise UPD estimation, for the first time, the BDS PPP rapid ambiguity resolution for GEO/IGSO/MEO satellites is achieved. We found that the average time to first fix (TTFF) of the BDS PPP AR is shortened significantly, to approximately 40 min for Hong Kong and the CMONOC, while the TTFF was 57.4 min for the MGEX networks. With ambiguity resolution, the accuracy of the daily BDS PPP in the east, north and vertical directions improves from 1.74 cm, 1.08 cm, and 5.52 cm to 0.72 cm, 0.54 cm, and 3.21 cm for the Hong Kong network, 2.24 cm, 2.31 cm, and 5.64 cm to 1.18 cm, 0.79 cm, and 3.30 cm for the CMONOC, and 2.71 cm, 1.80 cm, and 6.00 cm to 1.58 cm, 1.15 cm, and 4.33 cm for the MGEX networks. Significant improvement is also achieved for kinematic PPP, with improvements of 40.41%, 34.33% and 37.17% in the east, north and vertical directions for the MGEX networks, respectively.  相似文献   

12.
This paper focuses on the precise point positioning (PPP) ambiguity resolution (AR) using the observations acquired from four systems: GPS, BDS, GLONASS, and Galileo (GCRE). A GCRE four-system uncalibrated phase delay (UPD) estimation model and multi-GNSS undifferenced PPP AR method were developed in order to utilize the observations from all systems. For UPD estimation, the GCRE-combined PPP solutions of the globally distributed MGEX and IGS stations are performed to obtain four-system float ambiguities and then UPDs of GCRE satellites can be precisely estimated from these ambiguities. The quality of UPD products in terms of temporal stability and residual distributions is investigated for GPS, BDS, GLONASS, and Galileo satellites, respectively. The BDS satellite-induced code biases were corrected for GEO, IGSO, and MEO satellites before the UPD estimation. The UPD results of global and regional networks were also evaluated for Galileo and BDS, respectively. As a result of the frequency-division multiple-access strategy of GLONASS, the UPD estimation was performed using a network of homogeneous receivers including three commonly used GNSS receivers (TRIMBLE NETR9, JAVAD TRE_G3TH DELTA, and LEICA). Data recorded from 140 MGEX and IGS stations for a 30-day period in January in 2017 were used to validate the proposed GCRE UPD estimation and multi-GNSS dual-frequency PPP AR. Our results show that GCRE four-system PPP AR enables the fastest time to first fix (TTFF) solutions and the highest accuracy for all three coordinate components compared to the single and dual system. An average TTFF of 9.21 min with \(7{^{\circ }}\) cutoff elevation angle can be achieved for GCRE PPP AR, which is much shorter than that of GPS (18.07 min), GR (12.10 min), GE (15.36 min) and GC (13.21 min). With observations length of 10 min, the positioning accuracy of the GCRE fixed solution is 1.84, 1.11, and 1.53 cm, while the GPS-only result is 2.25, 1.29, and 9.73 cm for the east, north, and vertical components, respectively. When the cutoff elevation angle is increased to \(30{^{\circ }}\), the GPS-only PPP AR results are very unreliable, while 13.44 min of TTFF is still achievable for GCRE four-system solutions.  相似文献   

13.
GNSS卫星定轨精度主要取决于卫星动力学模型精度和GNSS几何观测信息。由于北斗GEO/IGSO卫星静地、高轨特性,以及力学模型不精确等原因,地面几何观测信息对轨道改进至关重要。本文讨论了北斗GEO/IGSO/MEO卫星定轨地面站分布影响及优化改进方法。在简化动力学定轨模型基础上,探讨多历元几何观测信息累积对轨道的改进;研究了北斗导航卫星定轨理想几何构型条件,得到影响定轨精度的几何因子,包括测站数量、覆盖范围、分布密度;利用离散概率密度方法研究地面站构型,分析了3类卫星轨道改进机理和优化方法。通过算例,讨论了增加5个中国区域基准站改善离散概率密度指标,优化全球北斗卫星定轨构型,发现GEO和IGSO卫星精度改善最为明显,MEO卫星改善最小;其中GEO卫星提高了10%,IGSO卫星提高了16%,MEO卫星提高了4%。  相似文献   

14.
Ambiguity resolved precise point positioning with GPS and BeiDou   总被引:2,自引:1,他引:1  
This paper focuses on the contribution of the global positioning system (GPS) and BeiDou navigation satellite system (BDS) observations to precise point positioning (PPP) ambiguity resolution (AR). A GPS + BDS fractional cycle bias (FCB) estimation method and a PPP AR model were developed using integrated GPS and BDS observations. For FCB estimation, the GPS + BDS combined PPP float solutions of the globally distributed IGS MGEX were first performed. When integrating GPS observations, the BDS ambiguities can be precisely estimated with less than four tracked BDS satellites. The FCBs of both GPS and BDS satellites can then be estimated from these precise ambiguities. For the GPS + BDS combined AR, one GPS and one BDS IGSO or MEO satellite were first chosen as the reference satellite for GPS and BDS, respectively, to form inner-system single-differenced ambiguities. The single-differenced GPS and BDS ambiguities were then fused by partial ambiguity resolution to increase the possibility of fixing a subset of decorrelated ambiguities with high confidence. To verify the correctness of the FCB estimation and the effectiveness of the GPS + BDS PPP AR, data recorded from about 75 IGS MGEX stations during the period of DOY 123-151 (May 3 to May 31) in 2015 were used for validation. Data were processed with three strategies: BDS-only AR, GPS-only AR and GPS + BDS AR. Numerous experimental results show that the time to first fix (TTFF) is longer than 6 h for the BDS AR in general and that the fixing rate is usually less than 35 % for both static and kinematic PPP. An average TTFF of 21.7 min and 33.6 min together with a fixing rate of 98.6 and 97.0 % in static and kinematic PPP, respectively, can be achieved for GPS-only ambiguity fixing. For the combined GPS + BDS AR, the average TTFF can be shortened to 16.9 min and 24.6 min and the fixing rate can be increased to 99.5 and 99.0 % in static and kinematic PPP, respectively. Results also show that GPS + BDS PPP AR outperforms single-system PPP AR in terms of convergence time and position accuracy.  相似文献   

15.
在传统多系统非差非组合精密单点定位(precise point positioning,PPP)模型中,电离层延迟会吸收部分接收机码硬件延迟,其估计值可能为负数。提出了一种估计接收机差分码偏差(differential code bias,DCB)参数的GPS(Global Positioning System)/BDS(BeiDou Navigation Satellite System)非组合PPP模型,将每个系统第1个频率上的接收机码硬件延迟约束为零,对接收机DCB进行参数估计,达到了分离电离层延迟和接收机码硬件延迟的目的,降低了接收机钟差和电离层延迟的相关程度。利用4个多星座实验(multi-GNSS experiment,MGEX)跟踪站的GPS/BDS数据进行了静态和动态PPP试验,结果表明,与不估计DCB参数的PPP模型相比,采用估计DCB参数PPP模型后,静态模式下定位精度和收敛速度平均提高了29.3%和29.8%,动态模式下定位精度和收敛速度平均提高了15.7%和21.6%。  相似文献   

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