电离层闪烁谱特征分析

本文给出了斜入射和不均匀体各向异性情形下的闪烁强度时间频谱的理论表达式。得出在各向异性不均匀介质中传播的信号,其闪烁谱在低频端既有下降的,又有平坦的,具体视传播的几何条件而定,其中传播角的影响尤为显著。据此,较好地解释了在广州、武昌、新乡等地观测到的ETS～Ⅱ卫星VHF信号闪烁谱在低频端的不同特征。     

用GPS观测研究电离层TEC水平梯度

双频GPS 用户能自动修正电离层总电子含量(TEC) 引起的延时误差, 但是对于电离层中的不规则体造成的信号闪烁而引起的误差则不能消除. 即使是差分GPS 系统, 电离层误差仍然是其主要的误差源, 其中电离层TEC 梯度将会影响到系统的定位精度和性能. 本文用GPS 方法研究了电离层TEC 的水平梯度问题, 用处于赤道异常区NTUS 台站的GPS 观测数据作了具体计算. 结果表明, 在日落以后到子夜前后电离层垂直TEC 出现了大的涨落, 电离层中的不规则体导致L 波段信号强的闪烁, 同时还伴随着大而快速变化的电离层~TEC 水平梯度. 对比发现, ROTI指数、电离层TEC 水平梯度和电离层垂直TEC 三者之间有很好的对应关系, 它们的变化特征均由电离层中的不规则体引起. 我们认为研究电离层闪烁, 特别是在缺乏S4指数时, 电离层TEC 梯度也可以作为一个重要的可选参数.      

中国广州地区电离层闪烁观测结果的初步统计分析

利用在广州站(23º8' N, 113º17' E)建立的GPS电离层闪烁监测系统, 开展了对电离层闪烁的连续观测. 利用这些观测数据, 对广州地区2007年4月至9月及2008年1月至9月电离层闪烁变化特性进行了初步统计分析研究. 分析结果表明, 广州地区闪烁主要发生在太阳活动较低的磁静日期间. 季节变化表现为弱闪烁(0.2相似文献   

海口站电离层闪烁强度功率谱分析与建模应用

基于中国海口站(20.00°N, 110.33°E)获取的2013全年UHF 频段电离层闪烁信号强度数据, 利用Welch算法, 分析给出了四类典型电离层闪 烁强度功率谱. 利用功率谱时序图分析方法, 发现电离层不均匀体存在东西向水 平周期性变化结构. 提取全年功率谱指数p, 通过统计分析发现谱指数p存在规律变化, 据此建立一个谱指数经验模型, 该谱指数模型已用于中国低纬 区域电离层闪烁发生预报概率模型(CMSOP), 进而对海口站UHF频段电离层闪烁发生 概率观测数据和预报结果进行了对比分析.     

基于GPS信号的电离层S4指数计算方法研究

电波穿越电离层时,由于受到电离层不均匀结构的影响,电波的幅度、相位、时延等有时会发生快速抖动,这就是所谓的电磁波电离层闪烁现象.电离层闪烁会影响卫星通信系统的质量和导航系统的精度.本文分析了GPS信号研究电离层闪烁的基本原理,讨论了电离层闪烁监测中S4指数的计算方法及其修正方法.通过数据模拟,评估了原始S4指数计算方法及其修正方法的性能特点.针对原始S4指数计算方法及修正方法的不足,提出了一种新的修正方法,并采用实测GPS数据对上述方法进行了检验.结果表明,上述方法是有效的和可靠的.     

电离层不规则结构对GPS性能的影响

电离层不规则结构的存在可引起无线电信号的幅度和相位发生随机起伏, 这 种电离层闪烁现象会影响全球定位系统(Global Positioning System, GPS)的 性能, 降低定位精度, 严重时导致信号失锁. 电离层不规则结构对GPS性能的 影响涉及电离层物理、接收机设计和表征卫星几何分布的精度衰减因子(Dilution of Positioning, DOP)等多方面因素. 本文通过对表征电离层不规则结构参数 的分析, 根据GPS接收机跟踪环路和闪烁信号模型, 综合研究了电离层闪烁对 GPS接收机载波跟踪环和码跟踪环跟踪误差的影响; 结合实际观测, 评述 了电离层不规则结构对单频和双频GPS接收机定位性能的影响, 在此基础上 提出了有待深入研究的问题及具体建议.     

宇宙噪声的电离层闪烁与电离层不规则结构的结构参数

利用宇宙噪声是均匀的。各向同性的背景电磁辐射的假设,对电子密度涨落空间分布波数谱为负幂律函数的电离层不规则结构,用射线光学方法导出了闪烁功率谱的表示式。与射电星和轨道人造卫星信标的电离层闪烁相比,减少了因相对运动弓队的变量。用数值计算方法研究了电离层不规则结构的结构参量L_y、l_y、p、η对功率谱的影响。与实测资料比较,发现电离层吸收事件期间且Riometer记录的闪烁资料中,60%以上相应的不规则结构有L_y>103,η>η₀(0.2<η₀<0.5).      

太阳活动低年广州地区地磁扰动与电离层闪烁的统计特征分析

基于肇庆地磁台的地磁监测数据和广州气象卫星地面站建立的华南地区GPS电离层闪烁监测网的监测数据, 统计分析了2008年7月至2010年7月太阳活动低年期间广州地区地磁扰动与电离层闪烁的关系. 用肇庆台地磁水平分量H的变化量换算出肇庆地磁指数K, 以此来代表广州地区地磁扰动情况.分析结果表明, 磁暴/强地磁扰动对广州地区电离层闪烁的发生总体表现为抑制作用, 电离层闪烁主要发生在低K值期间, 而在K ≥ 4时电离层闪烁的发生呈下降趋势. 电离层闪烁发生率随季节和地磁活动的变化规律表现在, 春季的弱闪烁发生率、夜间中等以上闪烁发生率和夏季中等以上闪烁的发生率明显与地磁活动指数K相关, 即随$K$指数的增大而减小; 在秋季和冬季闪烁发生率与K指数变化无明显关系. 同时还综合分析了地磁与太阳活动的变化对电离层活动的影响, 广州地区闪烁主要发生在太阳活动较低的磁静日期间.     

海南地区电离层闪烁监测及初步统计分析

为开展赤道区的电离层闪烁形态特性及相关物理过程的研究,空间中心海南台站建立了一套GPS电离层闪烁监测系统.该系统是利用Plessey GPS Builder-2系统开发的,对软件的源码进行了修改,使其能以高采样率(50/s)同时并行记录11个通道GPS信号强度数据.对2003年7-12月间L-波段电离层闪烁事件的初步统计分析结果表明,电离层闪烁主要发生在日落后到午夜附近,其中9-11月较7-8月闪烁发生和结束的时间明显提前;电离层闪烁发生的频率和强度在9-11月较其他月份明显增强,其中10月达到最大;电离层闪烁的逐日变化具有很强的随机性,闪烁的发生在秋分附近9月底到10月中旬的磁静日期间达到最大;太阳和地磁活动的增强通常会抑制电离层闪烁的发生,这种情形在秋分附近尤为明显.     

基于GPS的广州地区电离层不规则体纬向漂移速度计算分析

利用广州站组建的两台短间距GPS电离层闪烁监测仪的观测数据, 分别对GPS卫星信号强度用功率谱和短间距台链互相关性两种方法计算了3次闪烁事件电离层不规则体的漂移速度. 分析结果表明, 同一不规则体会引起两台站闪烁事件的同时发生, 两种方法测量不规则体漂移速度通常在50～160m/s之间, 平均大小均在120m/s左右, 且纬向漂移速度在闪烁初期起伏较明显, 速度随闪烁时间有下降的趋势, 夜间纬向漂移方向由西向东, 广州地区漂移速度特性符合低纬其他地区不规则体漂移速度特征, 两种计算方法合理有效.     

A study of GPS ionospheric scintillations observed at Shenzhen

Ionospheric scintillation variations are studied using GPS measurements at the low latitude station of Shenzhen (22.59°N, 113.97°E), situated under the northern crest of the equatorial anomaly region, from the Chinese Meridian Project. The results are presented for data collected during the current phase of rising solar activity (low to high solar activity) from December 2010 to April 2014. The results show that GPS scintillation events were largely a nighttime phenomenon during the whole observation period. Scintillation events mainly occurred along the inner edge of the northern crest of the equatorial anomaly in China. The occurrence of scintillations in different sectors of the sky was also investigated, and the results revealed that it is more likely for the scintillations to be observed in the west sector of the sky above Shenzhen. During the present period of study, a total number of 512 total electron content (TEC) depletions and 460 lock loss events were observed. In addition, both of these events are likely to increase during periods of high solar activity, especially because the strong scintillations are often simultaneously accompanied by TEC depletions and lock losses by GPS receivers.     

第24太阳活动周中国地区电离层闪烁统计特性研究

利用第24太阳活动周中国多个地区GNSS电离层闪烁监测站数据,统计分析中国中低纬地区电离层闪烁特性.结果显示：电离层闪烁主要发生在春秋分及夜间20：00—02：00LT时段;在28°N以南地区,纬度越低电离层闪烁强度和发生概率越高;电离层闪烁发生概率与太阳活动呈正相关,太阳活动上升年电离层闪烁发生概率高于下降年;不同强度地磁活动条件下,电离层闪烁均可能发生,且与地磁活动强度整体呈负相关.通过研究电离层闪烁统计特性,可以为电离层闪烁机理的深入研究、预报及工程应用提供参考.     

Monthly trends in temporal and spatial distribution of Ionospheric Irregularities across the African region during the descending phase of solar cycle 24

Ionospheric irregularities are well-known phenomena associated with ionospheric scintillation. These irregularities comprise steep electron density gradients in the equatorial F region some 1 to 2 h after sunset in regions close to the geomagnetic equator. Using the IGS network of GNSS receivers spread across the low-latitude region over the African sector, we present the monthly trends in ionospheric irregularity activity levels based on Rate of TEC Index (ROTI) during the declining phase of solar 24. The monthly trends are statistically represented by counts of the night time ROTI values exceeding a threshold of 0.4 TECU/min. A clear trend emerges on the irregularity occurrence across the African sector: during the first four months of the year, the irregularity occurrence is highly pronounced on the western side of the region. The irregularity occurrence then shifts to the eastern side during the months of May, June, July, and August. During the last four months of the year, the irregularity occurrence is again more intense on the western side of Africa than on the eastern side. The occurrence of irregularity structures on only one side of the region during a given night is an unusual feature reported here for the first time.     

Spread-F occurrence during geomagnetic storms near the southern crest of the EIA in Argentina

This work presents, for the first time, the analysis of the occurrence of ionospheric irregularities during geomagnetic storms at Tucumán, Argentina, a low latitude station in the Southern American longitudinal sector (26.9°S, 294.6°E; magnetic latitude 15.5°S) near the southern crest of the equatorial ionization anomaly (EIA). Three geomagnetic storms occurred on May 27, 2017 (a month of low occurrence rates of spread-F), October 12, 2016 (a month of transition from low to high occurrence rates of spread-F) and November 7, 2017 (a month of high occurrence rates of spread-F) are analyzed using Global Positioning System (GPS) receivers and ionosondes. The rate of change of total electron content (TEC) Index (ROTI), GPS Ionospheric L-band scintillation, the virtual height of the F-layer bottom side (h'F) and the critical frequency of the F2 layer (foF2) are considered. Furthermore, each ionogram is manually examined for the presence of spread-F signatures.The results show that, for the three events studied, geomagnetic activity creates favorable conditions for the initiation of ionospheric irregularities, manifested by ionogram spread-F and TEC fluctuation. Post-midnight irregularities may have occurred due to the presence of eastward disturbance dynamo electric fields (DDEF). For the May storm, an eastward over-shielding prompt penetration electric field, (PPEF) is also acting. A possibility is that the PPEF is added to the DDEF and produces the uplifting of the F region that helps trigger the irregularities. Finally, during October and November, strong GPS L band scintillation is observed associated with strong range spread-F (SSF), that is, irregularities extending from the bottom-side to the topside of the F region.     

GISM模型在中国低纬地区的适用性分析

为检验全球电离层闪烁模型（GISM）在中国低纬地区预测的准确性,根据2011年7月至2012年6月期间中国低纬地区三个观测站记录的GPSL1频点的电离层闪烁数据,对GISM模型的预测结果进行了分析.研究表明,在太阳活动高年,该模型能够反映出中国低纬地区闪烁的主要特征.模型预测的闪烁开始时间与观测结果较为一致,而结束时间滞后观测值约1h;模型预测的低纬地区闪烁强度峰值与观测结果基本一致,而在相同累积概率条件下,模型预测的闪烁强度则高于观测值;模型显示闪烁发生概率和闪烁强度随纬度的增加而减小,这一结果与观测结果一致.     

Investigation of ionospheric irregularities and scintillation using TEC at high latitude

The occurrence of ionospheric irregularities at high latitudes, with dimensions of several kms down to decameter scale size shows strong correlation with geomagnetic disturbance, season and solar activity. Transionospheric radio waves propagating through these irregularities experience rapid random fluctuations in phase and/or amplitude of the signal at the receiver, termed scintillation, which can degrade GNSS services. Thus, investigation and prediction of this scintillation effect is very important. To investigate such scintillation effects, a GISTM (GPS Ionospheric Scintillation and TEC Monitoring) NovAtel dual frequency (L1/L2) GPS receiver has been installed at Trondheim, Norway (63.41°$63.41°$ N, 10.4°$10.4°$ E), capable of collecting scintillation indices at a 1 min rate as well as the raw data (phase and intensity) of the satellite signals at a 50 Hz sampling rate and TEC (Total Electron Content) at a 1 Hz rate. Many researchers have reported that both phase and amplitude scintillation is closely associated with TEC fluctuations or associated with a significant developing enhancement or depletion in the TEC. In this study, a novel analogous phase index is developed which provides samples at a 1 min rate. Generally the scintillation indices can help in estimating the irregularity scintillation effect at a one minute rate, but such procedures are time consuming if DFTs of the phase and/or amplitude at a 50 Hz data are required. In this study, instead, this analogous phase index is estimated from 1 Hz rate TEC values obtained from the raw signals and is then compared for weak, moderate and strong scintillation at Trondheim for one year of data collected from the installed GPS receiver. The spectral index of the irregularities (that is the inverse power law of their spatial spectrum) is determined from the resultant phase scintillation psd. The correlations of the scintillation indices and spectral indices with the analogous phase index have been investigated under different geomagnetic conditions (represented by the Kp index) and an approximate linear correlation of phase scintillation with the analogous phase index was found. Then a principal advantage of this index is that it achieves this correlation without requiring a high sampling data rate and the need for DFTs. Thus, the index seems a good candidate for developing a simple means of ionospheric scintillation prediction which could also be utilized in the development of alerts using regional mappings.