Single GPS receiver time-relative positioning with loop misclosure corrections

Time-relative positioning makes use of observations taken at two different epochs and stations with a single global positioning system (GPS) receiver to determine the position of the unknown station with respect to the known station. The limitation of this method is the degradation over time of the positioning accuracy due to the temporal variation of GPS errors (ionospheric delay, satellite clock corrections, satellite ephemerides, and tropospheric delay). The impact of these errors is significantly reduced by adding to the one-way move from the known to the unknown station, a back move to the known station. A loop misclosure is computed from the coordinates obtained at the known station at the beginning and at the end of the loop, and is used to correct the coordinates of the unknown station. The field tests, presented in this paper, show that using the loop misclosure corrections, time-relative positioning accuracy can be improved by about 60% when using single frequency data, and by about 40% with dual frequency data. For a 4-min processing interval (an 8-min loop) and a 95% probability level, errors remain under 20 cm for the horizontal components and 36 cm for the vertical component with single frequency data; and under 11 cm for the horizontal components and 29 cm for the vertical component with dual frequency data.     

建筑物立面激光点云的定位

车载式近景目标3维测量系统,采用激光扫描仪获取建筑物立面点云。激光点云仅具有扫描仪坐标系下的坐标,不便于其他数据融合进行3维建模。文中根据系统的特点和要求,通过建立相应的坐标系,利用已有或优化的坐标转换模型确定坐标系之间的坐标转换关系。依据基准点与载体平台GPS接收机之间同步观测数据将激光点云在扫描仪坐标系下的坐标经过多次坐标转换,得到基准点所在当地坐标系下的坐标。使系统实现了满足精度要求的建筑物立面激光点云的定位工作。     

利用水汽总量资料诊断入梅时间的方法

梅雨期是江淮流域从春季到夏季一个重要的过渡时期。传统诊断入梅的方法主要根据雨日和温度及副热带高压位置等来确定。由于雨日的不连续, 天气形势的多变, 常会引起诊断入梅日期的分歧。利用长江三角洲地区地基GPS网所反演的连续的大气水汽总量 (GPS/PWV) 资料详细分析了长江三角洲地区2002—2005年入梅情况, 发现GPS/PWV资料可以反映出入梅前后大气中水汽发生显著季节性跳跃的特征, 总结出利用大气中水汽变化特征来诊断入梅时间的方法 (PWV方法)。采用1980—2000年的历史探空资料计算的大气水汽总量 (PWV) 资料, 对该方法进行了检验:21年中有13年的入梅日期与历史上传统方法诊断的入梅日期相吻合; 对两种方法诊断的入梅日期相差较大的3年的入梅情况进行的分析表明, PWV方法诊断出的入梅日比原定入梅日更合理。该方法在2006年入梅诊断的应用也得到验证。     

Modeling long-period noise in kinematic GPS applications

We develop and test an algorithm for modeling and removing elevation error in kinematic GPS trajectories in the context of a kinematic GPS survey of the salar de Uyuni, Bolivia. Noise in the kinematic trajectory ranges over 15 cm and is highly autocorrelated, resulting in significant contamination of the topographic signal. We solve for a noise model using crossover differences at trajectory intersections as constraints in a least-squares inversion. Validation of the model using multiple realizations of synthetic/simulated noise shows an average decrease in root-mean-square-error (RMSE) by a factor of four. Applying the model to data from the salar de Uyuni survey, we find that crossover differences drop by a factor of eight (from an RMSE of 5.6 to 0.7 cm), and previously obscured topographic features are revealed in a plan view of the corrected trajectory. We believe that this algorithm can be successfully adapted to other survey methods that employ kinematic GPS for positioning.     

GPS sidereal filtering: coordinate- and carrier-phase-level strategies

Multipath error is considered one of the major errors affecting GPS observations. One can benefit from the repetition of satellite geometry approximately every sidereal day, and apply filtering to help minimize this error. For GPS data at 1 s interval processed using a double-difference strategy, using the day-to-day coordinate or carrier-phase residual autocorrelation determined with a 10-h window leads to the steadiest estimates of the error-repeat lag, although a window as short as 2 h can produce an acceptable value with > 97% of the optimal lag’s correlation. We conclude that although the lag may vary with time, such variation is marginal and there is little advantage in using a satellite-specific or other time-varying lag in double-difference processing. We filter the GPS data either by stacking a number of days of processed coordinate residuals using the optimum “sidereal” lag (23 h 55 m 54 s), and removing these stacked residuals from the day in question (coordinate space), or by a similar method using double-difference carrier-phase residuals (observational space). Either method results in more consistent and homogeneous set of coordinates throughout the dataset compared with unfiltered processing. Coordinate stacking reduces geometry-related repeating errors (mainly multipath) better than carrier-phase residual stacking, although the latter takes less processing time to achieve final filtered coordinates. Thus, the optimal stacking method will depend on whether coordinate precision or computational time is the over-riding criterion.     

湛江海湾大桥塔上锚管定位方法介绍

斜拉桥是一个受力结构复杂、各构件间相互影响较大的超静定结构体,斜拉索锚管的安装定位是其施工的重点与难点之一。本文结合湛江海湾大桥工程实践,介绍一种涉及到大跨度斜拉桥主塔锚管安装定位的原理、放样数据计算的理论、现场安装测量控制和精度等内容的新方法。     

逐次滤波方法在GPS单点定位中的应用研究

采用平差计算中得到的观测值的残差来估计指数函数经验模型中的参数，从而使随机模型更真实地反映观测值中的随机误差和偏差。由实际GPS观测数据厦广播里历，按以上的函数模型和随机模型采用逐次滤波方法进行解算。结果表明，此方法在未剔除和修复周跳的情况下，可以使单点静态定位的平面外符合精度达1．46m，高程方向的外符合精度为1．72m。     

基于PPP技术的GPS浮标海啸预警模拟研究

提出了利用精密单点定位（precise point positioning,PPP）技术进行海啸预警的方法,并利用TriP软件对实测浮标数据进行了处理,将得出的海面高数据和海啸波模型叠加进行了模拟分析。仿真结果表明,利用精密单点定位技术进行海啸预警,能够监测判断海啸的发生,并获得海啸波到达海岸的波高和时间,提供一定的预警信息。     

基于三差解检测与修复GPS载波相位周跳新方法

对飞行中初始化载波相位整周模糊度ＧＰＳ的动态差分定位而言,如果在整周模糊度初始化过程中发生载波相位周跳,将严重影响整周模糊度的确定,本文对已有的ＧＰＳ静态差分定位中通过三差解检测与修复周跳的方法进行了推广,提出了一种适合于解决Ｏｎ－Ｔｈｅ－Ｆｌｙ整周模糊度初始化过程中周跳问题的新方法。新方法保持了静态情况下原有方法的特点,分析和利用实采数据进行的检验表明,新方法是有效和实用的。     

整数模糊度参数的快速检索算法

ＧＰＳ快速定位中,由于模糊度参数之间的强相关性,模糊度参数置信区间定义的检索区域比相应的置信椭球大得多。本文通过模糊度参数向量的正交变换,定义出包含模糊度参数置信椭球的最小正交多面体,借助在其中构造的均匀正交网格点,找出置信椭球中的所有整数模糊度参数向量。该方法显著地减少了整数模糊度参数的检索范围,提高了计算效率。