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滤波估计
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  filtering estimation
     A Digital Filtering Estimation for Second-Order Vector Difference Equation
     二阶向量差分方程的数字滤波估计
短句来源
     The oil well heat wash was taken as example to do adaptive filtering estimation.
     以油井热洗为例,进行了自适应滤波估计
短句来源
     The Kalman Filtering Estimation of Determining a Spacecraft Attithde by Measuring Starlight
     通过星光测量确定飞行器姿态的Kalman滤波估计
短句来源
     Least-square estimation and Kalman filtering estimation, data mergence suitable for estimating underwater target motion elements are proposed in this paper, Satisfactory results could be obtained by using the model proposed here to calculate target motion element in aviation antisubmarine action.
     提出了适用于水下目标运动要素估算数据融合、最小二乘估计和Kalman滤波估计模型,本模型被用于航空反潜作战中目标运动要素估算,具有良好的效果。
短句来源
     Least-square estimation method and Kalman filtering estimation method suitable for estimating underwater target motion elements are proposed. Satisfactory results could be obtained by using the model proposed here to calculate target motion element in aviation antisubmarine action.
     提出了适用于水下目标运动要素估算的最小二乘估计和Kalman滤波估计模型 ,本模型被用于航空反潜作战中目标运动要素估算 ,取得了较好的效果。
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  filter estimation
     Filter Estimation of Navigation System Based on Hopfield Neural Network
     基于Hopfield神经网络的导航系统的滤波估计
短句来源
     A filter estimation of data fusion navigation system based on Hopfield neural network is designed.
     设计了基于Hopfield神经网络的导航系统的滤波估计算法。
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     Digital simulation showed that better accuracy of attitude determination and filter estimation can be obtained bv this method.
     通过数字仿真,表明此法可得到良好的姿态确定精度及滤波估计
短句来源
     As a commonly used parametric estimation method, Kalman filter estimation, in fact, is a kind of unbiased estimation with the least variance.
     卡尔曼滤波估计是一种常用的参数估计方法,它在本质上是一种无偏最小方差估计。
短句来源
     Angle of Attack's Kalman Filter Estimation in Vertical Gust
     飞机迎角在垂直阵风干扰中的卡尔曼滤波估计
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  “滤波估计”译为未确定词的双语例句
     This method change the parallel filter of whole model into serial filter of sub-model.
     这种方法其实质是把对整个动态模型的并联滤波估计变成对整个动态模型的分级串联滤波估计
短句来源
     On-line estimation of image Jacobian matrixJZ]based on Kalman filter
     图象雅可比矩阵的在线Kalman滤波估计
短句来源
     Estimation of Instantaneous Freguency Using Polynomial Model and Adaptive Filtering
     用多项式模型和自适应滤波估计瞬时频率
短句来源
     Second-order nonlinear interpolation filtering for gyroless satellite attitude estimation
     无陀螺卫星姿态的二阶插值非线性滤波估计
短句来源
     The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter.
     以人脸肤色模型为基础 ,结合目标形状特征识别方法 ,并用扩展卡尔曼滤波估计目标运动轨迹 ,实现基于肤色的人脸实时跟踪鲁棒方法 .
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  filtering estimation
A proxy for the unobservable uncertainty variable is obtained from the Kalman-filtering estimation of a time-varying parameter model of inflation.
      
Most of the present navigation sensor integration techniques are based on Kalman-filtering estimation procedures.
      
  filter estimation
The selective averaging method is compared with Wiener Filter Estimation of Evoked Potentials.
      
Kalman filter estimation for periodic autoregressive-moving average models
      
A new observation is then built using the selected segment, and the approximate pose adjusted in a second Kalman filter estimation stage.
      
Kalman filter estimation for valuing nontrading securities, with applications to the MMI cash-future spread on October 19 and 20
      
An incorrect inverse Q filter estimation does not have a significant effect on the result of FDSD.
      
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This paper discusses the problem of the optimal linear filtering estimation for a class of systems with randomly distributed parameters under general conditions of correlating the measurement noises to distributed noises and boundary noises so as to generalize the results obtained in[1]. The Wienner-Hopf theory is employed to derive the partial differential equations satisfied by the optimal linear filtering estimation and to give its relation to the innovation process. The equations satisfied by the optimal...

This paper discusses the problem of the optimal linear filtering estimation for a class of systems with randomly distributed parameters under general conditions of correlating the measurement noises to distributed noises and boundary noises so as to generalize the results obtained in[1]. The Wienner-Hopf theory is employed to derive the partial differential equations satisfied by the optimal linear filtering estimation and to give its relation to the innovation process. The equations satisfied by the optimal linear filtering error matrix are derived and an approximation method of solving the filtering equations is given.

本文推广文献[1]的结果,讨论一类随机分布参数系统在量测噪声与分布噪声及边界噪声相关的一般条件下最优线性滤波估计问题.用Wiener-Hopf理论导出最优滤波估计所满足的偏微分方程组,并给出与新息过程的关系.推导出最优滤波误差阵所满足的定解问题.最后给出一种近似算法.

In this paper a method is presented, in which the rotation angle from sun-earth midsean λ_(se) in addition to the earth angle θ_e and sun angle θ_s are simultaneously used for determinating spinstabilized geostationary satellite attitude. This method gives uniquely one unambiguous attitude. Solution, simplifies the algorithm, eliminates regions of high correlation and low measurement density occuring when using two attitude measurements, and provides geometric condition where singularity occures only if the...

In this paper a method is presented, in which the rotation angle from sun-earth midsean λ_(se) in addition to the earth angle θ_e and sun angle θ_s are simultaneously used for determinating spinstabilized geostationary satellite attitude. This method gives uniquely one unambiguous attitude. Solution, simplifies the algorithm, eliminates regions of high correlation and low measurement density occuring when using two attitude measurements, and provides geometric condition where singularity occures only if the earth and sun vectors are co-linear. By this method, the angle λ_(se) is conveniently incorporated into the kalman or least square filter. Digital simulation showed that better accuracy of attitude determination and filter estimation can be obtained bv this method.

本文提出一种同时利用地球角θ_c、太阳角θ_s和星日-星地转动角λ_(sc)三种姿态测量信息,确定卫星姿态的方法。该法算式简易,可唯一地确定卫星姿态。消除了采用两种姿态测量信息的姿态确定方法所引起的高相关和低测量密度的不良区域。本文方法仅有太阳矢量和地球矢量共线的几何限制,能方便地把λ_(sc)引入滤波器。通过数字仿真,表明此法可得到良好的姿态确定精度及滤波估计

In cases where parameters of linear dynamic system are known,an optimal con-trol scheme for the design of a constant gain filter was proposed〔1〕.In this paper,we have generalized the above method and used it in systems with unknown parame-ters.First,we identify the unknown parameters by generalized Kalman filter inthe expansion of the dimension system;Hence,we obtain the optimal transient con-stant gain filters of the system.A case study shows that our method is effectiveand simple for the design of a constant...

In cases where parameters of linear dynamic system are known,an optimal con-trol scheme for the design of a constant gain filter was proposed〔1〕.In this paper,we have generalized the above method and used it in systems with unknown parame-ters.First,we identify the unknown parameters by generalized Kalman filter inthe expansion of the dimension system;Hence,we obtain the optimal transient con-stant gain filters of the system.A case study shows that our method is effectiveand simple for the design of a constant gain filter with unknown parameters in thesystem

当线性动态系统的参数已知,设计常增益滤波的最优控制方法已在文献〔1〕中做了讨论。在本文中我们将上述方法推广到未知参数的系统。我们首先用扩大维数的方法,以广义 Kalman 滤波估计参数,然后得到本系统的最优瞬态常增益滤波。最后用实例说明我们的方法对于设计含有未知参数的常增益的滤波是有效的和简单的。

 
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