实时精密单点定位中的数据预处理研究

提出了适用于实时环境的一套数据预处理方案,包括钟跳修复、联合使用Geometry-Free和Melbourne-Wübbena组合进行周跳探测。通过丰富的实验算例,说明了对观测值进行钟跳修复的必要性;证明了联合使用GF与MW组合能够准确有效地探测出实际数据中存在的以及手工模拟加入的周跳。     

基于伪距测量的钟差计算模型

基于伪距和钟差定义,讨论了无线电时间比对的基本原理。在此基础上,详细推导了地心非旋转坐标系中一般意义下基于伪码测距模式的钟差计算模型,并通过坐标变换,给出了地固系中的实用计算模型。对地回系计算模型的进一步分析表明：卫星在地固系运动速度引起的改正项与sagnac效应项是完全不同的两项改正;对于GEO卫星,sagnac效应项最大约为200ns,其地固系运动速度引起的改正约为1ns;而对于MEO卫星,sagnac效应项最大为120ns,其地固系运动速度引起的改正约为1200ns。     

无线传感器网络中基于时钟漂移补偿的时间同步技术

在分析和总结现有时间同步算法的特点及其存在问题的基础上,提出了一种在无线传感器网络的时间同步协议（TPSN）中同时考虑节点时钟偏移和频率漂移率的改进算法。该算法利用连续两次同步过程中所记录的时间信息来估算节点时钟的偏移和频率漂移率,并进行补偿。同传统算法相比,此算法通讯成本较低、精度较高。最后通过数学分析和仿真的方法对所提出的改进算法进行了验证。     

区域GNSS网的整数卫星钟差解算

基于双差模糊度的整数性质,从理论上证明,通过固定基准模糊度可以使整网的星间单差模糊度都恢复整数性质,实现星间单差模糊度固定,从而得到整数卫星钟差。提出模糊度连续弧段的概念,改进基准模糊度选取方法。实验表明,对于1 d弧长的区域观测网数据,与旧方法相比,新方法获得的基准模糊度的数量增加近1倍;基准模糊度固定之后,窄巷模糊度成功固定的比例从60%左右提高到90%左右。将得到的整数卫星钟差用于30 min弧长的快速静态PPP,实现固定解的比例为96.00%。模糊度固定之后,PPP定位N、E、U方向的RMS分别达到7.3 mm、9.8 mm、23.3 mm。     

偏航姿态对北斗精密单点定位的影响分析

当太阳相对于卫星轨道面的高度角较小时,北斗导航卫星将不会跟踪太阳位置,卫星姿态发生异常复杂的变化后一段时间内处于零偏模式。在此期间采用名义姿态将影响卫星天线相位中心偏差、相位缠绕等误差计算,进而使精密单点定位(PPP)参数估计和天顶对流层延迟估计出现偏差。研究表明,在北斗导航卫星处于零偏期间,采用名义姿态计算的相位缠绕、天线相位中心偏差中存在超过15cm的误差。在此期间的北斗卫星采用零偏姿态改正相位缠绕等误差,与采用名义姿态相比,动态PPP位置参数N、E、U的估计精度可以提高53.2%、54.2%、39.3%,静态PPP位置参数N、E、U的估计精度可以提高61.0%、72.3%、58.4%,天顶对流层延迟估计精度提高33.0%。     

北斗卫星精密轨道与钟差精度分析

针对北斗卫星导航系统的卫星姿态模型、天线相位中心改正及卫星定轨数据处理策略未统一的现状,该文对比分析了武汉大学和德国地学研究中心提供的北斗事后精密轨道和钟差产品的差异及精度,结合实测数据,通过分析精密单点定位的定位精度来比较两中心精密轨道和钟差的差异。实验结果表明:北斗卫星的精密轨道精度与轨道类型有关,地球静止轨道(GEO)卫星的轨道精度为米级,倾斜地球同步轨道(IGSO)卫星的轨道精度为分米级,中地球轨道(MEO)卫星切向、法向和径向的精度分别为10.81、5.41和3.37cm;GEO卫星钟差精度优于0.38ns,IGSO卫星钟差优于0.25ns,MEO卫星钟差优于0.15ns;两家分析中心产品的北斗静态精密单点定位的平面精度相当;北斗静态精密单点定位的RMS统计值平面精度优于3cm,三维精度优于7cm。     

阿拉善左旗5.8级地震前地脉动信号特征分析

本文针对2015年4月15日发生在南北地震带北端的阿拉善左旗5.8级地震,利用乌海台、东升庙台、石嘴山台的连续数字地震波形资料,采用快速傅里叶变换对三个台站的2015年4月1日00时—4月15日23时波形数据进行分析,并持续跟踪0~0.25 Hz包络幅值极大值的变化形态。结果显示:(1)在5.8级地震前,震中附近的乌海地震台、东升庙地震台、石嘴山地震台记录的地震波形均出现频谱向低频偏移的现象;(2)三个台站出现低频异常的包络幅值极大值跟踪形态不一致,其中只有乌海台在震前出现明显的持续不稳定异常,异常持续时间约120h;(3)三个台站距离震中由近及远包络幅值极大值的跟踪形态差异明显。     

基于IGS超快星历预报卫星钟差及其精度分析

在实时GPS精密单点定位中,能否快速有效地得到高精度的卫星钟差预报值是影响实时单点定位速度和精度的一个重要因素,由于GPS原子钟的高频率、高敏感和极易受到外界及其本身因素影响的性质使得卫星钟差预报至今都没能得到很好地解决,本文在目前的卫星钟差预报基础上,分别探讨了利用灰色模型理论、线性模型和二次多项式模型等方法,以IGS超快星历中2004年12月7日卫星钟差观测资料预报8日的卫星钟差为例进行卫星钟差预报研究,初步得出如下结论:在利用IGS超快星历的前一天的卫星钟差观测值预报后一天的钟差时,线性模型相对方便有效;而灰色模型只要选取合适的模型指数系数,能得到较高精度;但二次多项式模型预报精度较差。利用线性模型能达到或优于IGS超快星历预报钟差的预报精度。     

Evolutionary biogeography on Ophiocordyceps sinensis:An indicator of molecular phylogeny to geochronological and ecological exchanges

The fungus Ophiocordyceps sinensis is endemic to the vast region of the Qinghai-Tibetan plateau(QTP).The unique and complex geographical environmental conditions have led to the "sky island" distribution structure of O.sinensis.Due to limited and unbalanced sample collections,the previous data on O.sinensis regarding its genetic diversity and spatial structure have been deemed insufficient.In this study,we analyzed the diversity and phylogeographic structures of O.sinensis using internally transcribed spacer region(ITS) and 5-locus datasets by a large-scale sampling.A total of 111 haplotypes of ITS sequences were identified from 948 samples data of the fungus O.sinensis,with representing high genetic diversity,and 8 phylogenetic clades were recognized in O.sinensis.Both the southeastern Tibet and the northwestern Yunnan were the centers of genetic diversity and genetic differentiation of the fungus,and they were inferred as the glacial refugia in the Quaternary.Three distribution patterns were identified to correspond to the 8 clades,including but not limited to the coexistence of widely and specific local distributive structures.It also revealed that the differentiation pattern of O.sinensis did not fit for the isolation-by-distance model.The differentiation into the 8 clades occurred between 1.56 Myr and6.62 Myr.The ancestor of O.sinensis most likely originated in the late Miocene(6.62 Myr) in the northwestern Yunnan,and the Scene A-C of the Qinghai-Tibetan movements may have played an important role in the differentiation of O.sinensis during the late Miocene-Pliocene periods.Our current results provide a much clearer and detailed understanding of the genetic diversity and geographical spatial distribution of the endemic alpine fungus O.sinensis.It also revealed that the geochronology resulting from paleogeology could be cross-examined with biomolecular clock at a finer scale.     

SLIP OFFSET ALONG STRIKE-SLIP FAULT DETERMINED FROM STREAM TERRACES FORMATION

Slip rate is one of the most important parameters in quantitative research of active faults. It is an average rate of fault dislocation during a particular period, which can reflect the strain energy accumulation rate of a fault. Thus it is often directly used in the evaluation of seismic hazard. Tectonic activities significantly influence regional geomorphic characteristics. Therefore, river evolution characteristics can be used to study tectonic activities characteristics, which is a relatively reliable method to determine slip rate of fault. Based on the study of the river geomorphology evolution process model and considering the influence of topographic and geomorphic factors, this paper established the river terrace dislocation model and put forward that the accurate measurement of the displacement caused by the fault should focus on the erosion of the terrace caused by river migration under the influence of topography. Through the analysis of the different cases in detail, it was found that the evolution of rivers is often affected by the topography, and rivers tend to migrate to the lower side of the terrain and erode the terraces on this side. However, terraces on the higher side of the terrain can usually be preserved, and the displacement caused by faulting can be accumulated relatively completely. Though it is reliable to calculate the slip rate of faults through the terrace dislocation on this side, a detailed analysis should be carried out in the field in order to select the appropriate terraces to measure the displacement under the comprehensive effects of topography, landform and other factors, if the terraces on both sides of the river are preserved. In order to obtain the results more objectively, we used Monte Carlo method to estimate the fault displacement and displacement error range. We used the linear equation to fit the position of terrace scarps and faults, and then calculate the terrace displacement. After 100, 000 times of simulation, the fault displacement and its error range could be obtained with 95%confidence interval. We selected the Gaoyan River in the eastern Altyn Tagh Fault as the research object, and used the unmanned air vehicle aerial photography technology to obtain the high-resolution DEM of this area. Based on the terrace evolution model proposed in this paper, we analyzed the terrace evolution with the detailed interpretation of the topography and landform of the DEM, and inferred that the right bank of the river was higher than the left bank, which led to the continuous erosion of the river to the left bank, while the terraces on the right bank were preserved. In addition, four stages of fault displacements and their error ranges were obtained by Monte Carlo method. By integrating the dating results of previous researches in this area, we got the fault slip rate of(1.80±0.51)mm/a. After comparing this result with the slip rates of each section of Altyn Tagh Fault studied by predecessors, it was found that the slip rate obtained in this paper is in line with the variation trend of the slip rate summarized by predecessors, namely, the slip rate gradually decreases from west to east, from 10~12mm/a in the middle section to about 2mm/a at the end.