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   

Income distribution dynamics and cross-region convergence in Europe   总被引：3，自引：3，他引：0  

Manfred M. Fischer  Peter Stumpner 《Journal of Geographical Systems》2008,10(2):109-139

This paper presents a continuous version of the model of distribution dynamics to analyse the transition dynamics and implied long-run behaviour of the EU-27 NUTS-2 regions over the period 1995–2003. It departs from previous research in two respects: first, by introducing kernel estimation and three-dimensional stacked conditional density plots as well as highest density regions plots for the visualisation of the transition function, based on Hyndman et al. (J Comput Graph Stat 5(4):315–336, 1996), and second, by combining Getis’ spatial filtering view with kernel estimation to explicitly account for the spatial dimension of the growth process. The results of the analysis indicate a very slow catching-up of the poorest regions with the richer ones, a process of shifting away of a small group of very rich regions, and highlight the importance of geography in understanding regional income distribution dynamics.

Manfred M. FischerEmail:

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有色噪声作用下的卡尔曼滤波   总被引：2，自引：0，他引：2  

赵长胜  陶本藻 《武汉大学学报(信息科学版)》2008,33(2):180-182,207

利用GPS载波相位三差观测量进行动态定位(或精密导航),就必须研究有色噪声滤波的理论问题.根据需求,推导了动态噪声、观测噪声为有色噪声的线性系统滤波公式,并证明白噪声卡尔曼滤波是有色噪声卡尔曼滤波的特例,或者说有色噪声的卡尔曼滤波是白噪声卡尔曼滤波的推广.  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   

基于智能体的鄱阳湖区钉螺生长模型及其模拟研究     

张健钦  龚建华  林珲  刘纯波 《武汉大学学报(信息科学版)》2008,33(11):1186-1189

基于复杂自适应系统理论,采用自下而上的基于智能体的建模分析方法,模拟了自然环境与钉螺生长相互作用导致的钉螺生长的主要行为特征、生命状态和数量变化,开发实现了模拟模型,同时输入实测数据进行实例模拟,结果表明该模型能够作为血吸虫病防控工作中钉螺数量估测的一种辅助实验方法和工具.  相似文献   

基于增强型GPS的自适应UKF实时星间相对定位方法   总被引：1，自引：0，他引：1  

刘洋  潘晓刚  王正明  易东云 《测绘学报》2008,37(1):0-113

高精度的星间实时相对定位是卫星编队飞行的一项关键技术。本文以双星编队为例,提出一种基于GPS双频P码、双频载波相位以及星间距离观测信息的自适应UKF、实时相对定位方法。仿真结果表明:相比传统的EKF方法,该算法能有效地提高滤波稳定性及相对定位精度,而且,星间测距信息的引入能大大减少整周模糊度判定所需的历元数。  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   

用褶积滤波处理井水位对固体潮响应的滞后   总被引：2，自引：1，他引：1  

张昭栋  高玉斌 《地震》1993,(4):23-29

本文给出了一种用褶积滤波处理井水位对固体潮响应滞后的新方法。鲁07井水位观测资料用这种方法处理比一般回归方法的平均中误差少4.6mm。文中讨论了褶积滤波积分区间长度与水井含水层渗透系数的关系及褶积滤波比别尔采夫滤波的优越性。  相似文献   

1983年菏泽5.9级地震前后沂水泉氡的变化   总被引：1，自引：0，他引：1  

张昭栋  高玉斌 《地震》1993,(6):1-6

沂水泉位于山东省沂水一汤头断裂带上。多年来的观测分析表明,影响沂水泉氡值变化的最大干扰是降雨。由于这种干扰存在着“记忆”滞后影响,所以用一般的相关分析难以将这种影响排除干净。本文对最小二乘法为建立模型的判据,用动态灰箱分析法拟合并推估观测系统的变化。在分析中用了四个状态变量：长趋势成分Ｌ（ｔ）、年周期变化成分Ｐ（ｔ）、降雨影响部分Ｒ（ｔ）和随机变化部分Ｓ（ｔ）。经过分析表明,沂水泉氡的长趋势部分１  相似文献   

Estimation for partially observed Markov processes     

M. E. Thompson  T. N. Kaseke 《Stochastic Hydrology and Hydraulics》1995,9(1):33-47

Many stochastic process models for environmental data sets assume a process of relatively simple structure which is in some sense partially observed. That is, there is an underlying process (X_n, n 0) or (X_t, t 0) for which the parameters are of interest and physically meaningful, and an observable process (Y_n, n 0) or (Y_t, t 0) which depends on the X process but not otherwise on those parameters. Examples are wide ranging: the Y process may be the X process with missing observations; the Y process may be the X process observed with a noise component; the X process might constitute a random environment for the Y process, as with hidden Markov models; the Y process might be a lower dimensional function or reduction of the X process. In principle, maximum likelihood estimation for the X process parameters can be carried out by some form of the EM algorithm applied to the Y process data. In the paper we review some current methods for exact and approximate maximum likelihood estimation. We illustrate some of the issues by considering how to estimate the parameters of a stochastic Nash cascade model for runoff. In the case of k reservoirs, the outputs of these reservoirs form a k dimensional vector Markov process, of which only the kth coordinate process is observed, usually at a discrete sample of time points.  相似文献