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   推广kalman 在 武器工业与军事技术 分类中 的翻译结果: 查询用时:0.684秒
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推广kalman
相关语句
  extended kalman
    Adaptive Modified Gain Extended Kalman Filter for Bearings-Only Homing Missile Guidance
    应用于仅有角度测量的寻的导弹制导的自适应修正增益推广Kalman滤波器
短句来源
    ADAPTIVE EXTENDED KALMAN FILTERING FOR PASSIVE MISSILE GUIDANCE PROBLEM
    自适应推广 KALMAN 滤波应用于导弹的被动制导问题
短句来源
    Improvement on Passive Location Algorithm Based on Extended Kalman Filter
    基于推广Kalman滤波的机载无源定位改进算法
短句来源
    A nonlinear filtering algorithm, called adaptive modified gain extended Kalman Filter, is used in this paper for its good stability and estimation accuracy.
    本文所采用的非线性滤波算法—自适应修正增益推广Kalman滤波器具有很好的稳定性,而且估计精度高。
短句来源
    A globally-convergent nonlinear filter, called the modified gain extended Kalman filter (MGEKF), is proposed for a special class of nonlinear systems.
    一种适用于一类特定的非线性系统全局收敛非线性滤波器被称作修正增益推广Kalman滤波器(MGEKF)。
短句来源
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  “推广kalman”译为未确定词的双语例句
    In this paper, two location methods based on the Least-Mean-Square(LMS) algorithms are discussed by using measurement of arrival (DOA) and time difference of arrival (TDOA)The compari- algorithm and Maximum Likelibood algorithm,are presented, The simulation results showd that the LMS algorithm given here has has the merit of better location accuracy,better stabilization and small calculation,
    本文利用测量获得的辐射源方位角和到达时间差信息,探讨了通过两种最小二乘估计实现定位的方法.本文对两种定位算法进行了比较,并与国内外其他典型的算法,包括推广Kalman滤波算法和最大似然估计算法,也进行了比较.计算机模拟表明,本文的算法具有定位精度高、算法稳定、计算量较小等优点.
短句来源
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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 globally-convergent nonlinear filter, called the modified gain extended Kalman filter (MGEKF), is proposed for a special class of nonlinear systems. An adaptive modified gain extended Kalman filter (AMGEKF) is presented by integrating the MGEKF with a nonlinear statistics estimator for time-varying observation noise. The AMGEKF is applied to the three-dimensional bearings-only homing missile guidance problem where the MGEKF often shows erratic behavior when the variance of measurement noise can not be exactly...

A globally-convergent nonlinear filter, called the modified gain extended Kalman filter (MGEKF), is proposed for a special class of nonlinear systems. An adaptive modified gain extended Kalman filter (AMGEKF) is presented by integrating the MGEKF with a nonlinear statistics estimator for time-varying observation noise. The AMGEKF is applied to the three-dimensional bearings-only homing missile guidance problem where the MGEKF often shows erratic behavior when the variance of measurement noise can not be exactly known. Simulation results indicate that AMGEKF is stable and performs almost as well as the ficticious MGEKF which exactly knows the variance of measurement noise.

一种适用于一类特定的非线性系统全局收敛非线性滤波器被称作修正增益推广Kalman滤波器(MGEKF)。将MGEKF与一种非线性时变观测噪声统计估值器相结合,导出一种自适应修正增益推广Kalman滤波器(AMGEKF)。AMGEKF应用于三维仅有角度测量的寻的导弹制导,当测量噪声的方差不能精确已知时,不存在MGEKF经常表现出的不稳定性,仿真结果表明AMGEKF是稳定的。而且与虚构的、对测量噪声方差精确已知的MGEKF有几乎相同的估计效果。

An optimal guidance and nonlinear filtering method for space interceptor is presented in this paper. For a new time-to-go algorithm, the optimal guidance law can be realized without a trajectory control engine along the lengthwise axis of the missile. A nonlinear filtering algorithm, called adaptive modified gain extended Kalman Filter, is used in this paper for its good stability and estimation accuracy. The simulation results show that the precision of missile hitting target is high under the optimal guidance...

An optimal guidance and nonlinear filtering method for space interceptor is presented in this paper. For a new time-to-go algorithm, the optimal guidance law can be realized without a trajectory control engine along the lengthwise axis of the missile. A nonlinear filtering algorithm, called adaptive modified gain extended Kalman Filter, is used in this paper for its good stability and estimation accuracy. The simulation results show that the precision of missile hitting target is high under the optimal guidance law and the nonlinear filtering method.

本文提出了一种空间拦截弹的最优制导和非线性滤波方法。由于采用了一种新的剩余时间算法,在空间拦截弹的弹体纵轴方向无轨道控制发动机的情况下,也可以实现这种最优导引规律。本文所采用的非线性滤波算法—自适应修正增益推广Kalman滤波器具有很好的稳定性,而且估计精度高。仿真结果表明,在上述最优制导及非线性滤波方法下,导弹有很高的命中精度。

An adaptive extended Kalman filtering(AEKF)is proposed For passive missile guidance problem,we present an adaptive extended Kalman filter which suits nonlinear observation model and linear dynamic model Simulation results indicate that the adaptive extended Kalman filter performs better than the original extended Kalman filter(EKF)

本文介绍一种非线性系统的自适应推广Kalman滤波算法。结合导弹的被动制导问题,我们提出了一种针对非线性观测模型和线性动态模型的自适应推广Kalman滤波器。仿真结果表明,自适应推广Kalman滤波器的性能优于原有的推广Kalman滤波器。

 
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