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推广kalman
相关语句
  extended kalman
    APPLICATION OF MODIFIED EXTENDED KALMAN FILTER TO PASSIVE MISSILE GUIDANCE
    改进的推广 KALMAN 滤波器在导弹被动制导中的应用
短句来源
    Improvement on Extended Kalman Filtering With Radial Velocity Measurements
    径向速度测量推广Kalman滤波的改进
短句来源
    A modified extended Kalman filter(MEKF)is proposed and applied to passive missile guidance We adopt a dual control method to design guidance law for enhancing the observability content of the control system Simulation results indicate that if the expectation of the system state is relatively large and the wave of the state is relatively minor,the performance of the MEKF is much better than that of the extended Kalman filter(EKF).
    为了提高系统的可观性,我们采用一种双重指标来设计最优导引律。 仿真结果表明,如果系统状态的均值较高,波动较小,那么MEKF的估计精度明显优于推广Kalman滤波器(EKF)。
短句来源
    A rotated covariance extended Kalman filter algorithm which is very useful for emitter passive localization and tracking is presented in this paper. The rotation transformation on covariance matrix of extended Kalman filter subtly handles the nonlinear problem in stochastic estimation problems with simplicity.
    基于滤波量比预测量和测量量都准确这一原理 ,该文提出一种适用于只测角无源定位的非线性滤波算法———协方差矩阵旋转变换的推广Kalman滤波算法 .
短句来源
    A new algorithm is developed to incorporate the radial velocity measurement into extended Kalman filter.
    研究了一种把径向速度测量引入推广Kalman滤波 (EKF)的新方法。
短句来源
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  “推广kalman”译为未确定词的双语例句
    Based on the decomposition of measurement equations and the analysis of measurement noise statistical property, a sequential processing filter algorithm is obtained, which corresponds to the linearization of the nonlinear raidal velocity function around the state filtered value rather than state predicated value and hence can reduce the errors caused by linearization greatly.
    在对测量方程进行分解和对测量噪声的统计特性进行分析的基础上提出了一种序贯处理结构的推广Kalman滤波算法 ,这种算法相当于对非线性的径向速度函数围绕状态矢量的滤波值而不是预测值线性化 ,因而可以大大减小线性化处理带来的误差。
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  extended kalman
Multisensor distributed extended Kalman filtering algorithm and its application to radar/IR target tracking
      
The proposed architecture of position and orientation estimation consists of two extended Kalman filters and a processing unit of Runga-Kutta based dead reckoning.
      
The method has been implemented with simulated data, and simulation results are provided along with comparisons to the extended Kalman filter (EKF) and the unscented Kalman filter (UKF) to show the relative advantages of the GPF.
      
Application of extended Kalman filtering on aircraft pose prediction of image sequences
      
In allusion to the character of monocular image sequences, a method based on extended Kalman filtering to predict the aircraft pose of image sequences is proposed.
      
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A modified extended Kalman filter(MEKF)is proposed and applied to passive missile guidance We adopt a dual control method to design guidance law for enhancing the observability content of the control system Simulation results indicate that if the expectation of the system state is relatively large and the wave of the state is relatively minor,the performance of the MEKF is much better than that of the extended Kalman filter(EKF).

本文研究将改进的推广Kalman滤波器(MEKF)应用于导弹被动制导问题。为了提高系统的可观性,我们采用一种双重指标来设计最优导引律。仿真结果表明,如果系统状态的均值较高,波动较小,那么MEKF的估计精度明显优于推广Kalman滤波器(EKF)。

A rotated covariance extended Kalman filter algorithm which is very useful for emitter passive localization and tracking is presented in this paper.The rotation transformation on covariance matrix of extended Kalman filter subtly handles the nonlinear problem in stochastic estimation problems with simplicity.In this paper,principle of rotated covariance is derived first,then detailed algorithms for 2D passive localization are developed.Experimental results show that the proposed algorithm is better than those...

A rotated covariance extended Kalman filter algorithm which is very useful for emitter passive localization and tracking is presented in this paper.The rotation transformation on covariance matrix of extended Kalman filter subtly handles the nonlinear problem in stochastic estimation problems with simplicity.In this paper,principle of rotated covariance is derived first,then detailed algorithms for 2D passive localization are developed.Experimental results show that the proposed algorithm is better than those linearization by differentiation based extended Kalman filter and universal linearization concept based extended Kalman filter.

基于滤波量比预测量和测量量都准确这一原理 ,该文提出一种适用于只测角无源定位的非线性滤波算法———协方差矩阵旋转变换的推广Kalman滤波算法 .文中推导了协方差矩阵变换的原理 ,给出了二维只测角无源定位应用的协方差矩阵旋转变换公式 .仿真表明该算法比同类型的基于微分线性化和泛线性化的Kalman滤波算法具有更好的性能 .

A new algorithm is developed to incorporate the radial velocity measurement into Kalman filter. Based on the analysis of sensor noise and measurement equation structure, the pseudo linear formulation of radial velocity measurement equation can be improved after position measurement update and a sequential pseudo linear structure algorithm is obtained. A theoretical analysis is given about its stability. Monte Carlo simulation results show that the new algorithm can not only overcome the shortcomings in the...

A new algorithm is developed to incorporate the radial velocity measurement into Kalman filter. Based on the analysis of sensor noise and measurement equation structure, the pseudo linear formulation of radial velocity measurement equation can be improved after position measurement update and a sequential pseudo linear structure algorithm is obtained. A theoretical analysis is given about its stability. Monte Carlo simulation results show that the new algorithm can not only overcome the shortcomings in the inferior transient performance of exfended Kalman filtering but can also be slightly superior to it during the steady phase.

研究一种把径向速度测量引入 Kalm an滤波的新方法 .在分析传感器噪声特性以及测量方程结构的基础上 ,提出优先处理位置测量数据 ,然后利用位置矢量的滤波值改进对径向速度测量方程的伪线性表述 ,从而得到一种序贯处理、伪线性结构的滤波算法 .从理论上分析了该算法的稳定性 .蒙特卡洛仿真说明该算法不仅克服了推广Kalman滤波 ( EKF)暂态性能差的缺陷 ,而且其稳态性能也略优于 EKF.

 
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