Ionospheric eclipse factor method (IEFM) for determining the ionospheric delay using GPS data

By establishing the ionospheric eclipse factor (IEF) λ of the ionospheric pierce point (IPP) and its ionospheric influence factor (IFF) λ, and combining λ, λ with t of IPP, a new method of modeling high-precision ionospheric delay using GPS data-ionospheric eclipse factor method (IEFM)-is presented in this paper. The IEFM can effectively select the proper ionospheric models to model the total electron content (TEC) with different changes corresponding to annual, seasonal and diurnal variations. Initial experimental results show that the correction precision of ionospheric delay modeled by the IEFM seems to be close to that of using L3 GPS observations to directly correct the corresponding ionospheric delay.     

Novel algorithms for GPS network RTK

This paper gives some new algorithms for GPS Network RTK. The whole algorithms are based on the Double-Difference (DD) using single epoch of GPSdata. So cycle-slips and loss-of-locks of GPS satelliteare avoided. And the time of Network RTK systems tart-up and positioning is shortest, only one epoch.These algorithms need no ionospheric or troposhperic correction models. The combined bias of rover station is directly estimated and corrected by observations of reference stations of network. Hence, the algorithms are no delay, and are the really and truly real-time difference and positioning. Compared with other algorithms, they can synchronously eliminate orbital bias, ionosphere delay, troposphere delay and otherbiases of positioning correlated with distance to great degree. There are little residual high order biases and measurement noise in DD observation equation of rover station after difference correction, so RTK positioning of network with the algorithms can perform wider and more equably.     

Preliminary results and analyses of using IGS GPS data to determine global ionospheric TEC

Using the spherical harmonic (SH) function model and the dual frequency GPS data of 139 International GPS Service (IGS) stations for July 15 of 2000, the global ionospheric total electron content (TEC) is calculated and the basic method is investigated. Here, preliminary results are reported and the problems and difficulties to be solved for using GPS data to determine the global ionospheric TEC are discussed.     

Model analysis method (MAM) on the effect of the second-order ionospheric delay on GPS positioning solution

In this paper,we develop an approach to study the effect of second-order ionospheric delay on GPS positioning based on the ionosphere-free combination (abbreviated to Lc) of GPS dual-frequency carrier phase observables,in which the first-order ionospheric delay has been eliminated.GPS data from IGS WUHN tracking station during April 9 23,2003 is used to perform the above approach,and results show that the second-order ionospheric delay in GPS so-called ionosphere-free observables will result in the regular ...     

BD星基增强系统格网电离层延迟算法的研究

随着北斗卫星导航系统的发展日益成熟,开发基于北斗的星基增强系统已刻不容缓,而电离层误差是影响星基增强系统定位精度的重要误差源。利用中国大陆构造环境监测网络的10个GNSS参考站在2016年3月20日的观测数据,验证了基于北斗导航系统的星基增强系统格网电离层修正算法在中国地区部分站点的修正精度,与Klobuchar模型修正法进行了对比,并检验了格网电离层垂直延迟的修正误差GIVE。结果表明,格网电离层修正算法的修正精度普遍优于Klobuchar模型修正法;修正误差也在正常范围内,进一步说明格网电离层延迟算法在中国地区的应用是可行的。     

Development of an ionospheric scintillation monitor using single frequency GPS receiver

Besides their intended use in radio navigation, global positioning system (GPS) satellite signals provide convenient radio beacons for ionospheric studies. Among other propagation phenomena, the ionosphere affects GPS signal propagation through amplitude scintillations that develop after radio waves propagation through ionospheric electron density irregularities. This paper outlines the design, testing, and results of a specialized GPS receiver to monitorL-band scintillations. The scintillation monitor system consists of a commercial GPS receiver development kit with its software designed to log signal strength and carrier phase from up to 12 channels at one sample per second rate. Other prime features of the monitor include the data compression transmission and processing. Here is the fact that they are inexpensive and compact and therefore can be readily proliferated. Foundation item: Supported by the National Natural Science Foundation of China (No. 49984001) Biography: Shu Di-fei (1973-), male, Master candidate, research direction: studying ionosphere on GPS beacons.     

Performance analysis of a 3D ionosphere tomographic model

A 3D high precision ionospheric model is developed based on tomography technique. This tomographic model employs GPS data observed by an operational network of dual-frequency GPS receivers. The methodology of developing a 3D ionospheric tomography model is briefly summarized. However emphasis is put on the analysis and evaluation of the accuracy variation of 3D ionosphere modeling with respect to the change of GPS data cutoff angle.Three typical cutoff angle values (15°, 20° and 25°) are tested. For each testing cutoff angle, the performances of the3D ionospheric model constructed using tomography technique are assessed by calibrating the model predicted ionospheric TEC with the GPS measured TEC and by employing the model predicted TEC to a practical GPS positioning application single point positioning (SPP).Test results indicate the 3D model predicted VTEC has about 0.4 TECU improvement in accuracy when cutoff angle rises from 15° to 20°. However, no apparent improvement is found from 20° to 25°. The model's improvement is also validated by the better SPP accuracy of 3D model than its counterpart-dual frequency model in the 20° and 25° cases.     

一种实时双频电离层修正方法

电离层延迟是影响GPS绝对定位的重要因素。比较常用的电离层延迟修正方法有模型方法和双频方法。模型方法和使用双频码伪距的方法精度有限。使用双频载波相位进行电离层延迟计算需要求解整周模糊度,计算复杂。本文提出了一种同时使用GPS双频码和载波观测量进行电离层误差修正的方法。使用卫星信号模拟器生成信号并用接收机实时接收,用此方法计算出电离层延迟值,并与真值进行比较,计算误差为厘米级。最后,接收真实卫星信号并计算了真实电离层延迟,并与使用Klobuchar模型方法计算出的电离层延迟进行了比较。     

基于GPS的双频电离层修正算法研究

电离层延迟是影响GPS卫星导航的重要误差源之一,为了有效消除该误差的影响,需要选择适当的电离层延迟修正的方法。本文在分析各修正方法优缺点的基础上,设计了一种利用双频点伪距及载波相位观测量来消除观测路径上的电离层延迟量方法,并在修正的过程中加入了检测和修复周跳的算法,提高了该方法的精度。     

Inversion of ionospheric electron density from GPS beacon observations

~~Inversion of Ionospheric Electron Density from GPS Beacon Observations~~SupportedbytheNationalNaturalScienceFoundationofChina(499840 0 1 )     

Differential areas for differential stations (DADS): A new method of establishing grid ionospheric model

Differential Area for Differential Stations (DADS), a new method of establishing grid ionospheric model, is presented. The preliminary results show that it is possible to establish a real time large range high precision grid ionospheric model (GIM) using the DADS and the GPS data of the Chinese crust movement observation network (CCMON).     

基于频域GPS信标提取电离层闪烁信息的方法

GPS(global positioning system)信标提取电离层闪烁信息的传统方法十分依赖于GPS硬件接收机对电离层闪烁信号的连续捕获和准确跟踪,而电离层闪烁发生特别是强闪烁情况下信号往往很弱,极易发生接收机的信号失锁,导致闪烁信息丢失的现象.针对这一问题,以构建软件GPS接收机为基本前提,提出一种基于快速傅里叶变换的频域处理方法用于计算电离层幅度闪烁指数.模拟计算结果表明:新方法计算得到的闪烁指数避免了系统误差,具有较高的精度.     

基于Cornell的自适应电离层闪烁强度的模型研究

针对Cornell模型在同一闪烁条件下,数据更新周期越长,估计和模型输入的幅度闪烁指数S4的偏差越大,并随着电离层闪烁的增强而增强的问题,提出基于Cornell模型的自适应S4的电离层闪烁模型即AS4-Cornell模型。模型以S4的偏差作为BP(back propagation)神经网络比例积分微分(proportional integral derivative, PID)算法的反馈,自动调整输入的复高斯白噪声的区段权值,使最终产生的闪烁信号满足模型输入的闪烁指数S4的指标。结果表明：仿真时,AS4-Cornell模型的幅度和相位闪烁序列概率分布均符合电离层闪烁理论,估算得到的电离层幅度指数S4与模型输入S4指数的最大偏差为0.001;全球定位系统(global positioning system, GPS)电离层闪烁模拟器测试时,AS4-Cornell模型估算得到的电离层幅度指数S4与模型输入S4指数的最大偏差为0.09;相比Cornell模型,AS4-Cornell模型产生的电离层闪烁信号更能够很好地反映模型输入的电离层闪烁指数S4的强度。     

GPS接收机的定位误差分析

基于Superstar Ⅱ GPS接收机和MATLAB实验平台,实现了所有星座误差及信道误差的修正.重点分析了卫星钟差、电离层误差、对流层误差、地球自转效应等误差及修正方法.参照IGS精密星历,利用Klobuchar模型,电离层误差修正掉约14 m;利用高度角模型,对流层误差平均修正掉4.05 m;地球旋转效应误差最大修正掉约30 m;卫星钟差修正后不超过3.1 m.实验结果最终定位精度17 m,验证了误差修正方法的正确性,为今后进行的GPS接收机研制工作积累了经验.     

基于分片线性插值的北斗格网电离层延迟问题研究

为了增强定位精度,需不断提高电离层延迟模型精度,格网电离层模型由于修正效果佳而被广泛应用。针对格网模型构建过程中网格节点处电离层延迟的插值问题,提出了分片线性插值法计算用户端穿透点的电离层延迟。基于格网模型的特征,在同一模型中应用不同的插值算法进行电离层延迟误差的对比,并检验格网电离层垂直延迟修正误差(GIVE)。结果表明,使用分片线性插值法计算的穿透点电离层延迟值更接近于实测数据,GIVE值更小,从而验证了该插值方法计算用户端穿透点的电离层延迟的高准确度。     

Storm-time ionospheric disturbances monitored by GPS beacon measurements

The Total Electron Content (TEC) during three great storms, from April to August 2000, was collected by means of a GPS receiver located in Jingzhou (30.4° N, 112.2° E). The time-latitude-dependent features of ionospheric storms are identified using TEC difference images based on the deviations of TEC during storm relative to quiet time. The responses of ionospheric TEC to magnetic storms were analyzed. The results show that: 1) In middle and low latitude, ionospheric storms effects are more apparent in local day time than at night: 2) Ionospheric storm effects are more dominant near the hump of the equatorial anomaly region than in other regions of TEC measurements; 3) The positive effects during the main phase of ionospheric storm may be caused by electric fields in low latitude; 4) During the recovery period of ionospheric storm, the negative phase of storm may be due to the perturbation of the neutral gas composition. Foundation item: Supported by the National Natural Science Foundation of China (49984001) Biography: Pei Xiao-hong (1977-), male, Master candidate, research direction: studying ionosphere on GPS beacons.     

城市供水负荷短期预测方法

结合城市用水量的影响因素及特点，分析了城市用水量的变化规律，探讨了水量预测时间序列分析方法；根据城市供水运行调度对用水量预测的实际要求，采用时间序列三角函数分析法建立了管网用水量的短期负荷预测模型。实例考核证明，该模型有效可行。     

A study on ionospheric HF channel with bitemporal response and scattering function

At first the bitemporal response method is introduced to solve the scattering function of the ionospeeric channel. We can get the scattering function, as a function, of the group path time delay and Doppler frequency. Thus Doppler effect resulting from the continuous movement of the ionosphere is analyzed to study the characteristics of the various ionospheric irregularities and diturbance. many possible problems and correction are researched lastly. Foundation item: Supported by the National Natural Science Foundation of China (69571020) and the Research Fund for the Doctoral Program of Higher Education (RFDP1999048602) Biography: Chong Yan-wen(1972-), male, Ph. D. candidate, research direction: ionospheric modeling and inversion.     

基于路网拓扑特性及先验知识的地图匹配算法

基于最大似然估计原理,提出了地图匹配的统一数学模型.将二维地图匹配算法的估计拓展到多维估计,利用道路网络的拓扑特性及先验知识修正前述算法.通过先验知识数字化,用代价函数将基于拓扑特性和先验知识的地图匹配算法纳入统一数学模型中.通过在香港大量的车辆定位实验,及参数修正和模型改进,对前述算法进行验证.实践表明,通过综合利用全球定位系统、航位推算以及数字地图道路网络等多种信息,该地图匹配算法在大规模复杂网络以及高楼环绕的场合可以达到很好的定位效果.     

基于单站GPS数据的GPS系统硬件延迟估算方法及结果比较

从GPS数据中解算电离层TEC的最大误差源是硬件延迟。作者介绍了两种解算电离层TEC和硬件延迟的方法。利用单站的GPS双频数据,计算了2004年电离层TEC和硬件延迟,对两种方法得到的硬件延迟进行了比较,并且和欧洲定轨中心的公布结果进行了对比,同时分析了不同纬度台站数据解算硬件延迟的误差特点。结果表明:这两种方法均可以解算TEC和硬件延迟,结果是可靠的。解算的硬件延迟的标准偏差与观测站的纬度有关,在中国区域,纬度越低,估算的硬件延迟偏差越大,对这一情况进行了分析。