Effects of typhoon Matsa on ionospheric TEC

The effects of typhoon Matsa on the ionosphere are studied by using GPS-TEC data observed at about 50 GPS stations.It is shown that the ionosphere has been already influenced and TEC tends to increase before the landing of Matsa,and the difference of TEC from its monthly median over the typhoon area is about 5 TECU.With the landing of Matsa,both the magnitude and the area of increased TEC decrease.One day after the landing of Matsa,TEC reaches its minimum and is lower than the monthly median.In comparison o...     

玉树Mw7．1地震前电离层异常扰动初步分析

为了研究地震电离层效应,采用CODE提供的全球电离层地图（GIM）数据分析了2010年4月14日玉树7．1级地震．通过插值提取了震中区域震前的TEC时间序列,利用滑动四分位距法排除太阳（SSN、F10．7）和地磁活动（Dst、Kp）的干扰,发现电离层在震前26天和13天存在明显异常．全球电离层异常分布结果显示,震前26天的电离层异常幅度小于震前13天的异常幅度,这可能与临震时间有关．此外,两次异常的峰值点与震中区域并不严格对应,而是靠近震中偏向赤道的一侧,同时磁共轭区也有异常出现,但范围和幅度较小,这两次电离层异常有可能是地震前兆．     

基于卡尔曼滤波的实时总电子含量周跳探测与修复

总电子含量(total electron content, TEC)作为描述电离层形态和内部结构的重要参量,对于电离层领域的理论研究和发展有着重要作用,而周跳的探测一直以来都是全球定位系统(global position system, GPS)载波相位测量数据预处理的重点和难点,尤其是在高精度GPS定位中,卡尔曼(Kalman)滤波在周跳探测与修复中的应用使得能够准确可靠地探测出观测值中可能出现的周跳,利用Kalman滤波算法探测不同的观测数据类型及其组合,并将修复后的观测值与理论值进行对比。结果表明:该算法对周跳探测和修复有很强的有效性和精度。     

基于半导体致冷器数学模型的TEC制冷系统的效率估算

为了对半导体制冷系统的制冷效率进行估算，通过建立半导体致冷器(TEC)的数学模型，并结合机械连接形式的TEC制冷系统，给出了半导体制冷系统制冷效率的估算公式．     

The estimation method of GPS instrumental biases

A model of estimating the global positioning system (GPS) instrumental biases and the methods to calculate the relative instrumental biases of satellite and receiver are presented. The calculated results of GPS instrumental biases, the relative instrumental biases of satellite and receiver, and total electron content (TEC) are also shown. Finally, the stability of GPS instrumental biases as well as that of satellite and receiver instrumental biases are evaluated, indicating that they are very stable during a period of two months and a half.     

太阳黑子数与电离层TEC的相关性分析

为了研究电离层TEC与太阳黑子数在短周期上的相关关系,采用1997～2004年的太阳黑子数资料与同期厦门站的电离层TEC数据,利用小波功率谱分析的方法提取3个尺度的短周期,并利用小波相干谱的方法重点研究了两者在278 d周期上的相关性。研究表明：太阳黑子数和电离层TEC主要存在准27 d、准半年周期以及年周期等短周期,而且电离层TEC和太阳黑子在准27 d周期上有良好的相关性。位相计算表明,电离层TEC的变化滞后于太阳黑子数2～3 d。厦门地区TEC与太阳活动的相关性在夏季比其他季节更强,这对提高该地区电离层TEC预报精度有很大意义。     

一种基于星载SAR编码有源定标器的电离层TEC测量方法

针对电离层对星载SAR线性调频信号影响与频率有关的特点,结合正负调频率的线性调频信号受电离层影响会出现脉冲信号的压缩和展宽现象,提出了一种基于星载SAR编码有源定标器的电离层TEC测量方法.利用编码有源定标器可以实现调频率反向的功能,通过分析调频率反向和不反向两种信号的相位差以及脉压后的位移差实现电离层TEC的精确测量,该方法不依赖于SAR与有源定标器之间的距离以及SAR发射信号的相位,减小了电离层TEC测量的误差因素,提高了电离层TEC的测量精度.针对BIOMASS,TerraSAR-L以及HJ1C三部不同频段的SAR系统进行了仿真分析,仿真分析结果与理论计算一致,证明了该方法的有效性.     

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。     

Correlative ionospheric disturbances in the sunlit hemisphere during the flare on July 14, 2000

Using GPS data obtained from GPS sites located on the sunlit hemisphere during the flare on July 14, 2000, the ionospheric response to the flare was analyzed. A kind of tiny correlative ionospheric fluctuations were revealed from the temporal total electron content (TEC) curves derived from GPS measurements, and the values of this kind of disturbances are about 1015 m-2. A comparative analysis of these disturbances and soft X-ray flux detected at GOES satellite during the flare is done. It is found that this kind of disturbances revealed in the temporal TEC curves did occur in a very large area of sunlit ionosphere and its behavior is mainly controlled by the characteristics of the flare's extra radiation. Because the similar fluctuations are not found in the curve of soft X-ray flux, it is concluded that the flare extra radiation in EUV band should have corresponding fluctuations and it is the fluctuations that cause the TEC disturbances. The height, where the disturbances occur, should be in the F region.     

A generalized trigonometric series function model for determining ionospheric delay

A generalized trigonometric series function (GTSF) model, with an adjustable number of parameters, is proposed and analyzed to study ionosphere by using GPS, especially to provide ionospheric delay correction for single frequency GPS users. The preliminary results show that, in comparison with the trigonometric series function (TSF) model and the polynomial (POLY) model, the GTSF model can more precisely describe the ionospheric variation and more efficiently provide the ionospheric correction when GPS data are used to investigate or extract the earth's ionospheric total electron content. It is also shown that the GTSF model can further improve the precision and accuracy of modeling local ionospheric delays.