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91.
???????????????GLONASS??????棬?о??????????????????????????????????????????????????Ч????????г??????????????????????????????????????1~300 s???????Ч???????????????????????????????????????????????300 min???X??Y??Z????????????266.43??246??13??336.06 m?????????????24???????????2 ms?????????????????GLONASS??????档
?? 相似文献
92.
һ��GPS��λ�����ֶ�ƽ����ϵ��Զ������� 总被引:4,自引:3,他引:1
?????????????????????????????????????·???????????????????????????????÷??????????????????????????????????????????????????????λ????????????????????????????????????????????????????????????????е?GPS??????λ???????????????????????????????????????????Ч???????? 相似文献
93.
对单/双频GPS/BDS/Galileo混合双差相对定位模型算法进行研究,推导了GPS/BDS/Galileo混合双差相对定位模型。选择短基线数据进行实验,对GPS、GPS/BDS标准双差、GPS/BDS混合双差、GPS/Galileo混合双差以及GPS/BDS/Galileo混合双差解算模式在定位精度、模糊度固定速度方面进行对比分析。结果表明,相对于GPS单系统或GPS/BDS双系统标准双差解算模式,双系统或三系统混合双差解算模式能有效提高模糊度首次固定时间,定位精度也有一定程度的提升。 相似文献
94.
一种无须变换参考星的GNSS单基线卡尔曼滤波算法 总被引:1,自引:0,他引:1
处理单基线全球导航卫星系统观测数据可获取位置、时间、大气延迟等信息,其应用包括相对定位、时频传递等。为实现实时性,常采用卡尔曼滤波递归地估计各类参数;为确保可靠性,还需形成一组独立的双差模糊度,并将其正确地固定为整数。实践中,滤波函数模型较常采用双差观测方程(即双差滤波模型)。若在当前历元原先的参考星不再可视时,双差滤波模型则需要定义新的参考星,并"映射"双差模糊度预报值以确保滤波连续。此外,双差滤波模型所计算的接收机相位钟差估值吸收了对应于参考星的站间单差模糊度,因此当参考星变换后可能会发生"整周跳跃"。在仍将双差模糊度作为一类可估参数的前提下,本文推导出以站间单差观测方程为滤波函数模型的算法(单差滤波模型),并证明了其与双差滤波模型具备理论上的等价性和实施上的差异性。与双差滤波模型相比,单差滤波模型不再需要"映射"双差模糊度预报值等运算,从而具备了更高的计算效率和灵活性;单差滤波模型所提供的接收机相位钟差估值也不受"整周跳跃"的影响,因此特别有利于频率传递应用。 相似文献
95.
96.
Weibiao Hsu Yunbin Guan Henian Wang Laurie A. Leshin Rucheng Wang Wenlan Zhang Xiaoming Chen Fusheng Zhang Chengyi Lin 《Meteoritics & planetary science》2004,39(5):701-709
Abstract— We report here on an ion probe study of rare earth element (REE) geochemistry in the lherzolitic shergottite Grove Mountains (GRV) 99027. This meteorite shows almost identical mineralogy, petrology, and REE geochemistry to those of the lherzolitic shergottites Allan Hills (ALH) A77005, Lewis Cliff (LEW) 88516, and Yamato (Y‐) 793605. REE concentrations in olivine, pyroxenes, maskelynite, merrillite, and melt glass are basically comparable to previous data obtained from ALH A77005, LEW 88516, and Y‐793605. Olivine is the dominant phase in this meteorite. It is commonly enclosed by large (up to several mm) pigeonite oikocrysts. Non‐poikilitic areas consist of larger olivine grains (?mm), pigeonite, augite, and maskelynite. Minor merrillite (up to 150 μm in size) is widespread in non‐poikilitic regions, occurring interstitially between olivine and pyroxene grains. It is the main REE carrier in GRV 99027 and has relatively higher REEs (200–1000 × CI) than that of other lherzolitic shergottites. A REE budget calculation for GRV 99027 yields a whole rock REE pattern very similar to that of other lherzolites. It is characterized by the distinctive light REE depletion and a smooth increase from light REEs to heavy REEs. REE microdistributions in GRV 99027 strongly support the idea that all lherzolitic shergottites formed by identical igneous processes, probably from the same magma chamber on Mars. Despite many similarities in mineralogy, petrography, and trace element geochemistry, subtle differences exist between GRV 99027 and other lherzolitic shergottites. GRV 99027 has relatively uniform mineral compositions (both major elements and REEs), implying that it suffered a higher degree of sub‐solidus equilibration than the other three lherzolites. It is notable that GRV 99027 has experienced terrestrial weathering in the Antarctic environment, as its olivine and pyroxenes commonly display a light REE enrichment and a negative Ce anomaly. Caution needs to be taken in future chronological studies. 相似文献
97.
As a first step towards studying the ionosphere with the global navigation satellite system (GNSS), leveling the phase to the code geometry-free observations on an arc-by-arc basis yields the ionospheric observables, interpreted as a combination of slant total electron content along with satellite and receiver differential code biases (DCB). The leveling errors in the ionospheric observables may arise during this procedure, which, according to previous studies by other researchers, are due to the combined effects of the code multipath and the intra-day variability in the receiver DCB. In this paper we further identify the short-term temporal variations of receiver differential phase biases (DPB) as another possible cause of leveling errors. Our investigation starts by the development of a method to epoch-wise estimate between-receiver DPB (BR-DPB) employing (inter-receiver) single-differenced, phase-only GNSS observations collected from a pair of receivers creating a zero or short baseline. The key issue for this method is to get rid of the possible discontinuities in the epoch-wise BR-DPB estimates, occurring when satellite assigned as pivot changes. Our numerical tests, carried out using Global Positioning System (GPS, US GNSS) and BeiDou Navigation Satellite System (BDS, Chinese GNSS) observations sampled every 30 s by a dedicatedly selected set of zero and short baselines, suggest two major findings. First, epoch-wise BR-DPB estimates can exhibit remarkable variability over a rather short period of time (e.g. 6 cm over 3 h), thus significant from a statistical point of view. Second, a dominant factor driving this variability is the changes of ambient temperature, instead of the un-modelled phase multipath. 相似文献
98.
99.
Ningbo Wang Yunbin Yuan Zishen Li Oliver Montenbruck Bingfeng Tan 《Journal of Geodesy》2016,90(3):209-228
100.
Real-Time Precise Point Positioning (RTPPP) with raw observations and its application in real-time regional ionospheric VTEC modeling 总被引:1,自引:0,他引:1
Precise Point Positioning (PPP) is an absolute positioning technology mainly used in post data processing. With the continuously increasing demand for real-time high-precision applications in positioning, timing, retrieval of atmospheric parameters, etc., Real-Time PPP (RTPPP) and its applications have drawn more and more research attention in recent years. This study focuses on the models, algorithms and ionospheric applications of RTPPP on the basis of raw observations, in which high-precision slant ionospheric delays are estimated among others in real time. For this purpose, a robust processing strategy for multi-station RTPPP with raw observations has been proposed and realized, in which real-time data streams and State-Space-Representative (SSR) satellite orbit and clock corrections are used. With the RTPPP-derived slant ionospheric delays from a regional network, a real-time regional ionospheric Vertical Total Electron Content (VTEC) modeling method is proposed based on Adjusted Spherical Harmonic Functions and a Moving-Window Filter. SSR satellite orbit and clock corrections from different IGS analysis centers are evaluated. Ten globally distributed real-time stations are used to evaluate the positioning performances of the proposed RTPPP algorithms in both static and kinematic modes. RMS values of positioning errors in static/kinematic mode are 5.2/15.5, 4.7/17.4 and 12.8/46.6 mm, for north, east and up components, respectively. Real-time slant ionospheric delays from RTPPP are compared with those from the traditional Carrier-to-Code Leveling (CCL) method, in terms of function model, formal precision and between-receiver differences of short baseline. Results show that slant ionospheric delays from RTPPP are more precise and have a much better convergence performance than those from the CCL method in real-time processing. 30 real-time stations from the Asia-Pacific Reference Frame network are used to model the ionospheric VTECs over Australia in real time, with slant ionospheric delays from both RTPPP and CCL methods for comparison. RMS of the VTEC differences between RTPPP/CCL method and CODE final products is 0.91/1.09 TECU, and RMS of the VTEC differences between RTPPP and CCL methods is 0.67 TECU. Slant Total Electron Contents retrieved from different VTEC models are also validated with epoch-differenced Geometry-Free combinations of dual-frequency phase observations, and mean RMS values are 2.14, 2.33 and 2.07 TECU for RTPPP method, CCL method and CODE final products, respectively. This shows the superiority of RTPPP-derived slant ionospheric delays in real-time ionospheric VTEC modeling. 相似文献