Bringing GPS into harsh environments for fully automated deformation monitoring     

Jason Bond  Adam Chrzanowski  Don Kim 《GPS Solutions》2008,12(1):1-11

Engineering projects that require deformation monitoring frequently utilize geodetic sensors to measure displacements of target points located in the deformation zone. In situations where control stations and targets are separated by a kilometer or more, GPS can offer higher precision position updates at more frequent intervals than can normally be achieved using total station technology. For large-scale deformation projects requiring the highest precision, it is therefore advisable to use a combination of the two sensors. In response to the need for high precision, continuous GPS position updates in harsh deformation monitoring environments, a software has been developed that employs triple-differenced carrier-phase measurements in a delayed-state Kalman filter. Two data sets were analyzed to test the capabilities of the software. In the first test, a GPS antenna was displaced using a translation stage to mimic slow deformation. In the second test, data collected at a large open pit mine were processed. It was shown that the delayed-state Kalman filter developed could detect millimeter-level displacements of a GPS antenna. The actual precision attained depends upon the amount of process noise infused at each epoch to accommodate the antenna displacements. Higher process noise values result in quicker detection times, but at the same time increase the noise in the solutions. A slow, 25 mm displacement was detected within 30 min of the full displacement with sigma values in E, N and U of ±10 mm or better. The same displacement could also be detected in less than 5 h with sigma values in E, N and U of ±5 mm or better. The software works best for detecting long period deformations (e.g., 20 mm per day or less) for which sigma values of 1–2 mm are attained in all three solution components. It was also shown that the triple-differenced carrier-phase observation can be used to significantly reduce the effects of residual tropospheric delay that would normally plague double-differenced observations in harsh GPS environments.

Don KimEmail:

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An approach to aid INS using time-differenced GPS carrier phase (TDCP) measurements   总被引：1，自引：0，他引：1  

Ben K. H. Soon  Steve Scheding  Hyung-Kuen Lee  Hung-Kyu Lee  Hugh Durrant-Whyte 《GPS Solutions》2008,12(4):261-271

This paper presents a simple and effective approach that incorporates single-frequency, L1 time-differenced GPS carrier phase (TDCP) measurements without the need of ambiguity resolution techniques and the complexity to accommodate the delayed-state terms. Static trial results are included to illustrate the stochastic characteristics and effectiveness of the TDCP measurements in controlling position error growth. The formulation of the TDCP observation model is also described in a 17-state tightly-coupled GPS/INS iterative, extended Kalman filter (IEKF) approach. Preliminary land vehicle trial results are also presented to illustrate the effectiveness of the TDCP which provides sub-meter positional accuracies when operating for more than 10 min.  相似文献   

经验模式分解的尺度阈值滤波在变形分析中的应用     

余春平  李广云  卫建东  张皓 《测绘科学》2008,33(6):189-191

本文将信号处理领域的经验模式分解算法应用于变形信息的提取中,通过引入阈值函数,建立了基于经验模式分解的尺度阈值滤波模型,采用优化模型确定了经验模式分解的次数。分别通过模拟试验和实测数据与小波阈值法和多项式拟合法进行了比对,分析表明:在低噪声情况下,三种方法都有一定的滤波效果;在高噪声情况下,经验模式分解的尺度阈值滤波法具有与小波阈值去噪法相等的精度,而且瞬时强噪声识别能力更好,优于多项式拟合法。  相似文献   

UKF算法及其在GPS卫星轨道短期预报中的应用     

郑作亚  陈永奇  卢秀山 《武汉大学学报(信息科学版)》2008,33(3):249-252

分析了GPS卫星预报星历,在比较分析EKF和UKF优缺点的基础上,将UKF引入GPS卫星轨道预报研究中.数值模拟和结果分析表明,UKF方法预报更稳定,能有效地提高轨道预报精度和稳定性.  相似文献   

基于ICCP算法的重力辅助惯性导航   总被引：7，自引：0，他引：7  

王志刚  边少锋 《测绘学报》2008,37(2):0-249

迭代最近等值线算法(ICCP)是一种重要的匹配导航算法,文中首先介绍ICCP算法的基本原理,随后在0.2′×0.2′重力异常数据库的基础上,利用ICCP算法进行仿真计算得到最佳匹配位置。最后为了验证匹配位置是否可用于修正惯导误差,提出将匹配位置误差作为观测量,用卡尔曼滤波对惯导系统误差进行最优估计。由最后的仿真结果可以看出,ICCP算法可有效抑制惯导纬度误差的增长,且最大纬度误差不超过2,′以匹配位置误差作为观测量可以用来估计惯导方位误差角。  相似文献   

Change of Support for Estimating Local Block Grade Distributions     

Xavier Emery 《Mathematical Geosciences》2008,40(6):671-688

An important aspect in mineral resource evaluation is the reduction of variance when post-processing the grade distributions defined on the support (volume) of the available data into distributions defined on the support of the proposed selective mining units. Although the volume-variance relationship is well understood for the estimation of global grade distributions, it is still an unsolved issue for local estimation studies based on non-parametric geostatistical methods, such as indicator kriging, for which the support correction is not inherent to the method. To clarify this relationship, the local change of support problem is examined in the scope of two parametric models (multi-Gaussian and discrete Gaussian models). It is shown that the variance reduction factor between point and block-support local distributions depends on the block being considered and is less than the global variance reduction factor. As a consequence, post-processing the local point-support grade distributions on the basis of the latter systematically understates the importance of the change of support at the local scale and makes selective mining appear more economically attractive than it really is. In the light of these results, a methodology is proposed to post-process the local point-support distributions obtained via non-parametric (indicator) methods into block-support distributions. An application to simulated data indicates that this methodology provides an accurate estimation at the block support when dealing with diffusion-type random fields.  相似文献   

Efficient generation of conditional simulations by chebyshev matrix polynomial approximations to the symmetric square root of the covariance matrix     

C. R. Dietrich  G. N. Newsam 《Mathematical Geology》1995,27(2):207-228

Consider the problem of generating a realization y₁ of a Gaussian random field on a dense grid of points ₁ conditioned on field observations y₂ collected on a sparse grid of points ₂. An approach to this is to generate first an unconditional realization y over the grid =_{1 2}, and then to produce y₁ by conditioning y on the data y₂. As standard methods for generating y, such as the turning bands, spectral or Cholesky approaches can have various limitations, it has been proposed by M. W. Davis to generate realizations from a matrix polynomial approximations to the square root of the covariance matrix. In this paper we describe how to generate a direct approximation to the conditional realization y₁, on ₁ using a variant of Davis' approach based on approximation by Chebyshev polynomials. The resulting algorithm is simple to implement, numerically stable, and bounds on the approximation error are readily available. Furthermore we show that the conditional realization y₁ can be generated directly with a lower order polynomial than the unconditional realization y, and that further reductions can be achieved by exploiting a nugget effect if one is present. A pseudocode version of the algorithm is provided that can be implemented using the fast Fourier transform if the field is stationary and the grid ₁ is rectangular. Finally, numerical illustrations are given of the algorithm's performance in generating various 2-D realizations of conditional processes on large sampling grids.  相似文献   

中国南北带地壳上地幔三维面波速度结构和各向异性   总被引：6，自引：1，他引：5       下载免费PDF全文

陈立华  庄真 《地球物理学报》1992,35(5):574-583

本文用长周期763地震仪面波群速度资料反演了中国南北带及邻区的三维速度结构.其中采集238条瑞利波和358条勒夫波混合频散曲线,使用均等显示滤波方法,并以4°×4°为一格将我国境内分为147格.用随机逆反演方法得到了研究区16格的纯路径频散.面波速度结构及演结果表明:1.莫霍界面深度一般在40-50km之间,最深达65km.总趋势是从东到西加深,且在南北带西侧南北两端向中部明显加深,东侧变化小.2.地幔顶部普遍出现很厚的低速层,上界面一般埋深60-80km.上地幔顶盖厚度一般为20-60km,速度为4.30-4.50km/s.3.研究区普遍存在各向异性,而且勒夫波和瑞利波速度的差值(V_SV-V_SH)的绝对值随深度有增大的特点,在南北带南部和西北部V_SV-V_SH各向异性现象更为明显.  相似文献   

基于卡尔曼滤波的时间序列影像背景估计   总被引：1，自引：0，他引：1  

刘飞  张鹏林 《地理空间信息》2005,3(3):12-13

文章将卡尔曼滤波理论应用于时间序列影像的背景估计,引入衰减记忆因子解决滤波的发散问题,最终实现了对背景信号的估计。  相似文献   

一种新的综合Kalman滤波及其在星载GPS 低轨卫星定轨中的应用     

韩保民  欧吉坤  曲国庆 《武汉大学学报(信息科学版)》2005,30(6):493-496

针对将Kalman滤波方法应用到星载GPS定轨时，由于动态噪声和观测噪声确定不准而造成滤波的发散、污染观测值造成Kalman滤波估值的扭曲及计算舍入误差可能带来协方差阵的不正定性等缺陷，提出了一种新的综合Kalman滤波方法。该方法用拟准检定法准确地探测和修正量测方程中存在的粗差；用UD分解算法克服了数值的不稳定性，改进了计算精度；用Sage自适应滤波器克服滤波器的发散。算例结果表明，这种综合卡尔曼滤波方法具有数值稳定性好、较强的自适应性和较好地削弱粗差影响等优点。  相似文献