首页> 外文会议>International technical meeting of the Satellite Division of the Institute of Navigation;ION GNSS 2011 >A Filtering Algorithm on Ionospheric Delay Calculation in Multi-Constellation Satellite Navigation Systems
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A Filtering Algorithm on Ionospheric Delay Calculation in Multi-Constellation Satellite Navigation Systems

机译:多星座卫星导航系统电离层延迟计算的滤波算法

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With the development of Global Navigation SatelliternSystem (GNSS), more and more Satellite-BasedrnAugmentation Systems (SBAS) are under trial andrndevelopment. The objective of SBAS is to augmentrnGlobal Position System (GPS) by way of improving itsrnaccuracy, integrity, continuity and availability in order tornsatisfy civil aviation requirements for navigation andrnlanding. For single frequency users, ionospheric delayrnuncertainty creates the largest restriction to the accuracyrnand availability of satellite navigation. With the signalsrnfrom SBAS, it is able to directly estimate the ionosphericrndelay of single frequency users at any point in the servicernvolume, but its accuracy and integrity need to bernimproved.rnThe next generation GNSS would include GPS,rnGLONASS, Galileo and Compass satellites, the minimumrnnumber of visible satellites would be over two dozen. Itrnhas agreed that the use of two or more space-basedrnnavigation systems should provide better service than canrnbe achieved by relying solely on any one system, thusrninvestigation on interoperability of signals from thesernsystems to get better performance is of significance.rnTherefore in this paper, we will discuss on how torncalculate ionospheric delay of single frequency users inrnSBAS when multi-constellation navigation satelliternsystems are available. Specially, in Compass system, thernIPPs are motionless, and the Kalman filter is more andrnmore widely used in navigation, the filtering algorithm isrnproposed to be used in ionospheric delay calculation atrnIonospheric Grid Point (IGP). Furthermore, the analyzedrnresults will be shown afterward. Due to this method inrnSBAS, it could save the hardware consumption, as well asrnget a certain performance enhancement.rnFive sections are included in the paper. In section 1, werngive the background information about SBAS and itsrnionospheric delay correction theory. The planar fit methodrnwhich is widely used in SBAS is presented in details inrnsection 2. In section 3, we propose the Kalman Filteringrnmethod in ionospheric delay calculation at IGPs. Detailedrndescription of simulation condition, test and analysis arernshown in section 4. Section 5 is the conclusion and thernpotential problems we will go on study.
机译:随着全球导航卫星系统(GNSS)的发展,越来越多的基于卫星的增强系统(SBAS)正在试用和开发中。 SBAS的目标是通过提高其准确性,完整性,连续性和可用性来增强全球定位系统(GPS),以满足民航对导航和降落的要求。对于单频用户,电离层延迟不确定性对卫星导航的准确性和可用性造成了最大的限制。借助SBAS的信号,它能够直接估计服务量中任何频率的单频用户的电离层延迟,但其准确性和完整性有待提高。下一代GNSS将包括GPS,GLONASS,伽利略和北斗卫星,这是最小数目可见卫星将超过两打。它已经同意,使用两个或多个基于空间的导航系统应该比仅依靠任何一个系统所能提供的服务更好,因此对研究来自多个系统的信号的互操作性以获得更好的性能具有重要意义。因此,在本文中,我们将讨论如何在多星座导航卫星系统可用时如何计算单频用户inSBAS的电离层延迟。特别地,在指南针系统中,IPP是不动的,卡尔曼滤波器在导航中的应用越来越广泛,该滤波算法被建议用于电离层网格点(IGP)的电离层延迟计算。此外,分析的结果将在以后显示。由于这种方法可以节省硬件消耗,并可以提高性能。本文包括五个部分。在第1节中,全面介绍了SBAS及其流变层延迟校正理论的背景信息。在第2节中详细介绍了在SBAS中广泛使用的平面拟合方法。在第3节中,我们提出了在IGP的电离层延迟计算中的卡尔曼滤波方法。仿真条件,测试和分析的详细描述在第4节中进行。第5节是结论和我们将要研究的潜在问题。

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