CINRAD/SA雷达灯丝电源调试与故障判定

详细叙述了CINRAD/SA雷达灯丝电源控制电路的工作状态,分析了控制电路中脉宽调制器SG1525A的特性,调试了控制斩波器的脉宽调制电路和振荡器控制电路的关键测试波形,并对灯丝电源输出电压、灯丝电压保护和灯丝电流保护进行了分步调试.根据实际经验总结了在灯丝电源调试过程中出现的故障判定流程和故障排查、排除方法,旨在为雷达灯丝电源的故障处理提供参考和借鉴.     

接收机滤波器群时延对CAPS伪距测量影响的优化研究

在中国区域定位系统（Chinese Area Positioning System,CAPS）中,带通滤波器是用户接收机的重要组成部分,对于宽频测距码来说,其群时延特性是测距的重要误差来源之一.分析了接收机码跟踪环路,给出相关函数估算测距偏差,对带通滤波器群时延开展仿真分析,并研究了改进接收机设计以优化群时延特性的方法.研究对GNSS接收机的射频和环路设计有一定借鉴意义.     

提高中性大气折射延迟改正精度的可能途径

针对空间大地测量技术对中性大气折射延迟改正精度的要求,阐述了折射延迟改正值应随测站和随方位而异的必要性．指出,在尚不能直接测定天文大气折射值的情况下,现有的各种改正模型对大气分布模型的依赖性,不能达到预期的精度和降低观测的截止角．根据云南天文台低纬子午环的特殊结构,和测定大气折射的实践,提出了提高折射延迟改正精度的新方法,即：利用各观测站不同方位从天顶附近直到低地平高度角的天文大气折射实测数据,求解得到折射率差和映射函数的参数,从而建立随测站和随方位而异的大气折射延迟改正模型．这一新方法的实施,将能在不需采用大气分布模型的情况下,把天顶延迟的改正精度提高到1 mm以内,低地平高度角的折射延迟改正精度提高到厘米级,并且把截止高度角压缩到5°以内．     

通过卫星双向双频观测对电离层时延的测定

介绍了利用卫星双向双频(C波段)观测来测定电离层时延的方法,并对不同经纬度的观测结果进行了比较和分析。卫星双向双频(C波段)观测精度高,采样间隔短,能测定电离层总电子含量的细微变化。     

Observations and modelling of the travel time delay and leading negative phase of the 16 September 2015 Illapel,Chile tsunami

The systematic discrepancies in both tsunami arrival time and leading negative phase (LNP) were identified for the recent transoceanic tsunami on 16 September 2015 in Illapel, Chile by examining the wave characteristics from the tsunami records at 21 Deep-ocean Assessment and Reporting of Tsunami (DART) sites and 29 coastal tide gauge stations. The results revealed systematic travel time delay of as much as 22 min (approximately 1.7％ of the total travel time) relative to the simulated long waves from the 2015 Chilean tsunami. The delay discrepancy was found to increase with travel time. It was difficult to identify the LNP from the near-shore observation system due to the strong background noise, but the initial negative phase feature became more obvious as the tsunami propagated away from the source area in the deep ocean. We determined that the LNP for the Chilean tsunami had an average duration of 33 min, which was close to the dominant period of the tsunami source. Most of the amplitude ratios to the first elevation phase were approximately 40％, with the largest equivalent to the first positive phase amplitude. We performed numerical analyses by applying the corrected long wave model, which accounted for the effects of seawater density stratification due to compressibility, self-attraction and loading (SAL) of the earth, and wave dispersion compared with observed tsunami waveforms. We attempted to accurately calculate the arrival time and LNP, and to understand how much of a role the physical mechanism played in the discrepancies for the moderate transoceanic tsunami event. The mainly focus of the study is to quantitatively evaluate the contribution of each secondary physical effect to the systematic discrepancies using the corrected shallow water model. Taking all of these effects into consideration, our results demonstrated good agreement between the observed and simulated waveforms. We can conclude that the corrected shallow water model can reduce the tsunami propagation speed and reproduce the LNP, which is observed for tsunamis that have propagated over long distances frequently. The travel time delay between the observed and corrected simulated waveforms is reduced to <8 min and the amplitude discrepancy between them was also markedly diminished. The incorporated effects amounted to approximately 78％ of the travel time delay correction, with seawater density stratification, SAL, and Boussinesq dispersion contributing approximately 39％, 21％, and 18％, respectively. The simulated results showed that the elastic loading and Boussinesq dispersion not only affected travel time but also changed the simulated waveforms for this event. In contrast, the seawater stratification only reduced the tsunami speed, whereas the earth's elasticity loading was responsible for LNP due to the depression of the seafloor surrounding additional tsunami loading at far-field stations. This study revealed that the traditional shallow water model has inherent defects in estimating tsunami arrival, and the leading negative phase of a tsunami is a typical recognizable feature of a moderately strong transoceanic tsunami. These results also support previous theory and can help to explain the observed discrepancies.     

基于GPS非差技术近实时获取对流层延迟

本文提出一种近实时获取高精度对流层延迟(Zenith Tropospheric Delay,ZTD)的方法。该方法基于全球GPS参考站网络的非差观测值数据和IGU预报产品(卫星轨道和ERP),使用GPS非差技术和卡尔曼滤波近实时估计各参考站的高精度ZTD。将该方法应用于香港GPS参考站网得到的ZTD与基于事后技术计算的ZTD进行比较后发现,两者的平均偏差均优于5mm,RMS均优于6mm。     

GPS对流层延迟模型的比较分析

基于GPS对流层模型,对几种模型进行实际应用的对比,通过GAMIT软件对CORS数据进行处理,分析得出了几种模型在GPS反演大气水汽含量应用中的精度。     

利用C波段转发数据实现GEO卫星轨道确定

为了提高我国卫星导航系统GEO卫星定轨能力,针对我国卫星导航系统所特有的新数据和新方法,利用CAPS系统的C波段转发式测距数据进行了单GEO卫星定轨实验.在分析该方法技术特点的基础上,从定轨残差和轨道重叠弧段比较等方面,对定轨结果进行了分析.由于设备转发时延是影响该方法定轨精度的重要因素,因此同时还分析了系统偏差对定轨精度的影响,得出了一些有益的结论.     

GPS/MET水汽反演中T_m模型的本地化研究

利用江西省南昌和赣州两探空站12年(1999—2010年)每日2次(08时和20时)的探空资料,运用最小二乘法建立了江西地区的加权平均温度Tm模型(江西本地化Tm模型)。基于探空资料计算得到的Tm值,对比分析了江西本地化Tm模型、武汉本地化Tm模型和GAMIT默认Tm模型的模拟结果,发现江西本地化Tm模型的模拟效果最好,武汉本地化Tm模型相对较差。利用GAMIT软件,分别采用江西本地化Tm模型、武汉本地化Tm模型和GAMIT默认Tm模型,对2010年1月至2010年12月南昌、赣州等地的GPS大气可降水量进行了解算,并与探空计算的大气可降水量作了对比分析,结果发现采用江西本地化Tm模型后解算得到的GPS大气可降水量精度最高,而采用GAMIT默认Tm模型的精度相对较差。