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Adaptive fitting of systematic errors in navigation 总被引:4,自引:0,他引:4
To use Kalman filtering for kinematic positioning and navigation, we have to deal with both observational and kinematic models. Both of the functional models may contain global or local systematic errors. The influence functions of the systematic errors on the estimates of kinematic states are derived. An adaptive fitting method for systematic errors of the observations and kinematic model errors is presented. The systematic errors are fitted with a mean or a weighted mean by using the residuals of observations and residuals of predicted states within a chosen time window. The covariance matrices of the modified observations and the predicted states are estimated within the same window. The estimation formulae and calculation strategy, as well as a real example, are given. It is shown by theory and calculations that Kalman filtering based on the adaptive fittings of the systematic errors and covariance matrices can, to some degree, resist the influences of systematic errors on the estimated states of navigation. 相似文献
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Robust estimation of geodetic datum transformation 总被引:17,自引:1,他引:17
Y. Yang 《Journal of Geodesy》1999,73(5):268-274
The robust estimation of geodetic datum transformation is discussed. The basic principle of robust estimation is introduced.
The error influence functions of the robust estimators, together with those of least-squares estimators, are given. Particular
attention is given to the robust initial estimates of the transformation parameters, which should have a high breakdown point
in order to provide reliable residuals for the following estimation. The median method is applied to solve for robust initial
estimates of transformation parameters since it has the highest breakdown point. A smooth weight function is then used to
improve the efficiency of the parameter estimates in successive iterative computations. A numerical example is given on a
datum transformation between a global positioning system network and the corresponding geodetic network in China. The results
show that when the coordinates are contaminated by outliers, the proposed method can still give reasonable results.
Received: 25 September 1997 / Accepted: 1 March 1999 相似文献
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基于卫星激光测距定轨是目前遥感卫星在轨位置测量的重要手段之一,其测量精度关系到遥感卫星的应用水平。为了分析我国首颗民用立体测绘卫星——资源三号携带的国产激光角反射器在轨运行情况,该文利用全球激光联测期间卫星激光测距数据与GPS事后联合定轨结果,从遥感影像几何定位和轨道预报两个方面定量分析和评价卫星激光测距参与的定轨精度。试验表明,基于卫星激光测距与GPS定轨结果,影像几何定位无控精度较实时定轨精度提升1~2m,有效提升了卫星影像几何处理精度;轨道预报1d星下点位置较实际过境轨迹偏差优于250m,2d优于500m,1d预报侧摆精度达到0.035°,满足检校外业和成像计划精度需求。 相似文献
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粗差的拟准检定法(QUAD法) 总被引:52,自引:12,他引:52
以往对付粗差的各种方法都是以余差(残差)为研究对象的。本文提出一种全新的研究思路和方法,从真误差入手。真误差与观测值有确定的解析关系。但关系式的系数阵是秩亏的。本文借鉴周江文的“拟稳平差”思想,提出“拟准观测”的概念,附加“拟准观测的真误差范数极小”的条件,解决了关于真误差的秩亏方程组求解定解的问题,推导了粗差的拟准检定法算式。该方法依据真误差估值的分布特征,检测粗差准确可靠。不仅能有效地同时定位 相似文献
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In this paper, a number of robust biased estimators (e.g. ordinary robust ridge estimator, robust principal components estimator,
robust combined principal components estimator, robust single-parametric principal components estimator, robust root-root
estimator) are established by means of a unified expression of biased estimators and based on the principle of equivalent
weight. The most attractive advantage of these new estimators is that they can not only overcome the ill-conditioning of the
normal equation but also have the ability to resist outliers. A numerical example is used to illustrate that these new estimators
are much better than the least-squares estimator and various biased estimators even when both ill-conditioning and outliers
exist.
Received: 14 November 1995/Accepted: 11 February 1998 相似文献
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陀螺经纬仪定向系统误差研究 总被引:1,自引:1,他引:1
通过对不同观测者用逆转点法进行的陀螺经纬仪定向实验数据分析,确认不同观测者在用逆转点法进行陀螺经纬仪定向时存在着显著的系统误差,而且这种系统误差的大小还随所使用的仪器不同而不同。研究结果对制定陀螺经纬仪定向操作程序和提高定向精度有一定的指导意义。 相似文献
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D. Zhong 《Journal of Geodesy》1997,71(9):552-561
The polynomial interpolation of least squares and interpolation moving least squares based on control stations with known
GPS (global positioning system) ellipsoidal heights and levelling orthometric heights are the most often used methods for
the interpolation of the geoid heights. But in their applications there occur two problems: one lies in selecting the suitable
polynomial parameters; the other in reducing the influences of some possibly abnormal data points. To solve both of the problems,
without emphasizing a sound theoretical basis, a heuristic solution with the help of robust estimation technique and optimization
criteria for the regression equation is presented. Through two actual numerical examples it is shown that the new solution
concept is efficient and can be realized easily on computers.
Received: 23 May 1996 / Accepted: 27 March 1997 相似文献
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一种Kalman滤波系统误差及其协方差矩阵的半参数估计方法 总被引:1,自引:0,他引:1
提出用半参数估计理论来解决系统误差对Kalman滤波解的影响问题。即用半参数模型中的非参数分量表达观测模型和动力学模型中未知的系统误差,在移动的窗口内,基于观测残差和状态向量预测残差拟合模型系统误差,进而修正相应的观测向量和状态预测向量的协方差矩阵,以消除系统误差对滤波的影响。同时这种方法还有明显的优点,就是在滤波过程中不需要对系统误差做任何假设。文中推导了基于正则核估计来解算导航系统半参数模型的相应公式,并根据一个模拟的算例,证明了算法的有效性。 相似文献
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