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strong tracking
相关语句
  强跟踪
     Secondly, the theory of strong tracking filter is adopted in multisensor data fusion system.
     第二,将强跟踪滤波器(strong tracking filter)理论引入到多传感数据融合系统中。
短句来源
     The algorithm adopts a new proposal distribution combining the unscented Kalman filter(UKF) with the adaptive strong tracking filter(STF).
     该算法采用一种新提议分布,即将UKF(Unscented Kalman Filter)与自适应强跟踪滤波器(STF)相结合.
短句来源
     A Strong Tracking Unscented Kalman Filter and its Application in Passive Target Tracking
     强跟踪Unscented滤波器及其在无源跟踪中的应用
短句来源
     Optimum Fusion Method Based on Strong Tracking Filter Estimations
     基于强跟踪滤波器估计的最优融合方法
短句来源
     A Method of On-Line Fault Diagnosis Based on Strong Tracking Filter
     基于强跟踪滤波器的在线故障诊断方法
短句来源
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  “strong tracking”译为未确定词的双语例句
     The comparison of several Kalman filters shows that the STFDEKF filter has high numerical stability,strong tracking and larger application scope and it can be applied to state estimation of complex nonlinear systems.
     几种卡尔曼滤波器经过仿真比较,STFDEKF应用于复杂非线性系统状态估计时,具有较高数值稳定性、强跟踪性和较宽应用范围.
短句来源
     The simulation results show the performance of target tracking of the IMM algorithm for target tracking based on the strong tracking filter(STF) is better than that one based on KF and EKF.
     仿真实验表明 ,基于STF的IMM算法的跟踪性能要优于基于KF和EKF的IMM算法的跟踪性能
短句来源
     Control without model has many advantages,such as strong adaptability,strong tracking ability,strong anti-disturbance ability, time lag controlling and so on,and it is fit for macro-economy dynamic analysis.
     无模型控制具有自适应能力强、跟踪性好、抗干扰能力强、克服时滞等众多优点,很适合宏观经济动态分析.
短句来源
     Current Statistic Model and Adaptive Tracking Algorithm Based on Strong Tracking Filter
     基于STF的“当前”统计模型及自适应跟踪算法
短句来源
     They show fast convergence speed and strong tracking ability, as well as high output signal-to-interference ratio. Besides, their computation complexity are only O(3N) or O(4N) , easy to be implemented by hardware.
     它们具备很好的收敛速度和跟踪能力,以及较高的输出信干比,同时计算复杂度仅为O(3N)或O(4N),非常适合硬件实现。
短句来源
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  相似匹配句对
     On Tracking
     关于统调
短句来源
     Strong-Tracking Multiple Model Estimator
     强跟踪多模型估计器
短句来源
     Outliers Improvement Based on the Strong Tracking Filter
     基于强跟踪滤波器的抗”飞点”容错滤波
短句来源
     the strong emotion;
     情感强烈;
短句来源
     Tracking Botnets
     跟踪僵尸网络
短句来源
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  strong tracking
To impove underwater vehicle dead reckoning, a developed strong tracking adaptive kalman filter is proposed.
      
Strong tracking adaptive Kalman filters for underwater vehicle dead reckoning
      
And the strong tracking Kalman filter and Singer model are applied to handle the imprecise navigation mode, which can improve the navigation system's precision and reliability.
      
Among other things, we derive weak and strong tracking properties and study a trajectory attractor of an evolutionary system.
      


A new concept of "strong tracking filters" is proposed, a general structure of a class of strong tracking filters is presented, and an orthogonality principle is also proposed for designing such strong tracking filters. Based on the orthogonality principle, a strong tracking filter-a suboptimal multiple fading extended Kalman filter (SMFEKF) is proposed, which improves the suboptimal fading extended Kalman filter (SFEKF) proposed in [1]. Finally, the effictiveness of the SMFEKF is illustrated...

A new concept of "strong tracking filters" is proposed, a general structure of a class of strong tracking filters is presented, and an orthogonality principle is also proposed for designing such strong tracking filters. Based on the orthogonality principle, a strong tracking filter-a suboptimal multiple fading extended Kalman filter (SMFEKF) is proposed, which improves the suboptimal fading extended Kalman filter (SFEKF) proposed in [1]. Finally, the effictiveness of the SMFEKF is illustrated by computer simulation.

本文提出了“强跟踪滤波器”的新概念,给出了强跟踪滤波器的一般结构,并提出了一个正交性原理用于此类滤波器的设计.在此基础上,提出了一种具有强跟踪滤波器性能的带多重次优渐消因子的扩展卡尔曼滤波器(SMFEKF),改进了文献[1]中提出的一种带单重次优渐消因子的扩展卡尔曼滤波器(SFEKF).数值仿真说明了SMFEKF的有效性.

The theory now in use for strong tracking filters as beveloped for use with nonlunlinear systems involving white noise, is extended to a class of nonlinear time-varying stochastic systcms with colored noise . A new concept of "softening factor" is introduced to make the state estimators much smoother. Effeveness of the proposed approach is illustrated by computer simulations .

推广了现有的强跟踪滤波器理论,解决了一类具有有色噪声干扰的非线性时变随机系统的强跟踪滤波问题,为使状态估计值更加平滑,引入了弱化因子的新概念,最后通过计算机仿真验证了本方法的有效性

A modified strong tracking Kalman filtering algorithm is proposed, and the performance of GPS kinematic positoning filter is improved for moving vehicles by use of the filtering algorithm. At first, by means of a current statistical model and adaptive algorithm for estimatimg maneuvering tragets, a new extended Kalman filtering model is built to estimate the position and velocity of moving vehicles, and the adaptive algorithm of the extended Kalman filter is presented. Then in order to improve the dynamic...

A modified strong tracking Kalman filtering algorithm is proposed, and the performance of GPS kinematic positoning filter is improved for moving vehicles by use of the filtering algorithm. At first, by means of a current statistical model and adaptive algorithm for estimatimg maneuvering tragets, a new extended Kalman filtering model is built to estimate the position and velocity of moving vehicles, and the adaptive algorithm of the extended Kalman filter is presented. Then in order to improve the dynamic performance of the Kalman filter, an effective modified strong tracking Kalman filtering algorithm is introduced in detail.

提出一种改进的强跟踪卡尔曼滤波算法,应用于GPS动态定位滤波中获得明显效果.首先采用描述机动载体运动的“当前”统计模型,建立了一种新的GPS动态定位扩展卡尔曼滤波模型及其自适应算法.然后,为了进一步提高滤波器的动态性能,改进了周东华等提出的强跟踪滤波器,大大提高了GPS动态定位扩展卡尔曼滤波器的跟踪能力.

 
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