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首页> 外文会议>14th international technical meeting of the Satellite Division of the Institute of Navigation (ION GPS-2001) >The Ohio State University IGS LEO/GPS Pilot Project:Status and Future Plans
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The Ohio State University IGS LEO/GPS Pilot Project:Status and Future Plans

机译：俄亥俄州立大学IGS LEO / GPS试点项目： r n状态和未来计划

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摘要

The Ohio State University has recently established an IGSrnLEO/GPS Associate Center for LEO/GPS orbitrndetermination in near real-time, to support atmosphericrndata retrieval from the occultation events. In addition, 16rnpermanently tracking GPS stations are currently beingrnestablished throughout the State of Ohio, and along thernGreat Lakes shore line.rnThe accurate retrieval of water vapor profiles from GPSrnoccultation data for atmospheric study requires precisernknowledge of the 3D position and velocity vectors ofrnboth, the GPS and LEO satellites with respect to therncenter of mass of the Earth. The LEO position andrnvelocity are required with accuracy of 10 cm and 0.1rnmm/s RMS, respectively [Rocken et al., 1997; Zhao,rn1998]. Even more stringent, from the operationalrnstandpoint, might be the need for near-real time retrievalrnof atmospheric profiles for potential contribution ofrnGPS/LEO data to operational weather forecasting.rnThe primary objective of this paper is to present therncurrently established procedures and techniques for thernCenter’s operations that will support occultation datarnprocessing, as well as atmospheric data retrieval from thernland-based GPS network. In particular, we will focus onrnthe GPS/LEO precise orbit determination (POD) withrnspecial emphasis on triple difference-based kinematicrnapproach for LEO POD. The triple difference technique,rnsuccessfully applied to GPS POD, has already beenrnpresented by Grejner-Brzezinska [1995], Yang [1995],rnGoad et al. [1996] and Kwon [1997]. We have nowrnextended this method to LEO POD. Preliminary results ofrnkinematic LEO POD for CHAMP are also presented.rnIn addition, data screening and quality control proceduresrnapplied to CHAMP and ground station GPS data are alsornpresented, with preliminary statistics related to thernnumber and the distribution of cycle slip events.
机译：俄亥俄州立大学最近建立了一个IGSrnLEO / GPS准中心，用于近实时的LEO / GPS轨道测定，以支持从掩星事件中检索大气数据。此外，目前在整个俄亥俄州和大湖沿岸地区都建立了16个永久跟踪GPS站。从GPS低温培养数据中准确检索水汽剖面以进行大气研究，需要对3D位置和速度矢量的精确了解，包括GPS和GPS。关于地球质量中心的LEO卫星。 LEO的位置和速度要求分别为10 cm和0.1rnmm / s RMS的精度[Rocken et al。，1997;赵，1998]。从操作的角度来看，甚至更严格的要求可能是需要近乎实时的大气廓线，以获取GPS / LEO数据对操作天气预报的潜在贡献。本文的主要目的是介绍当前为中心的操作建立的程序和技术，将支持掩星数据处理，以及从基于陆地的GPS网络检索大气数据。特别是，我们将重点关注GPS / LEO精确轨道确定（POD），特别强调LEO POD的基于三重差的运动学方法。三次差分技术已成功应用于GPS POD，Grejner-Brzezinska [1995]，Yang [1995]，Goad等人已经提出过。 [1996]和权[1997]。现在，我们将该方法扩展到了LEO POD。还介绍了CHAMP运动LEO POD的初步结果。rn此外，还介绍了应用于CHAMP的数据筛选和质量控制程序以及地面站GPS数据，以及有关循环次数和周跳事件分布的初步统计数据。

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