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- exlended Kalman filter 扩展卡尔曼滤波
- exlended Kalman filter(EKF) 扩展卡尔滤波（EKF）
- The application of Kalman filter in BO-TMA is studied. 研究了卡尔曼滤波法在BO-TMA的应用。
- The positioning method for motive target is Kalman Filter. 摘要对空中机动辐射源的定位和跟踪，主要采用卡尔曼滤波方法。
- Kalman filter method is studied in this paper to generate the TLE. 首先推导出扩展的卡尔曼滤波求双行元的计算公式；
- The model modified with Kalman filter may be able to simulate the riser well. 滤波后得到的模型可以对提升管进行模拟。
- The localization of mobile object is accomplished by nonlinear Kalman filter. 论文利用非线性Kalman滤波设计了三星时差定位星座对运动目标的定位定速算法；
- The Unscented Kalman Filter (UKF) is a novel development in the field. Then, pr (译)：的Unscented卡尔曼滤波（ UKF方法）是一种新的发展领域。
- A new BO-TMA method combined adaptive weighting with Kalman filter is proposed. 4．提出一种自适应加权和卡尔曼滤波相结合的BO-TMA新方法。
- Kalman filtering is the recursive version of ihe first estimate. 卡尔曼滤波即是线性最小方差估计的递推形式。
- Forecasting Macau Tide with Kalman Filter funded by the Research Committee of University of Macau, April2000. 澳门潮汐预测2000年4月由澳门大学研究委员会资助.
- A real-time tracking of moving object method based on Genetic Algorithm and Kalman filter was proposed. 提出了一种基于遗传算法和卡尔曼滤波的运动目标跟踪方法。
- A Theory of Variational Assimilation with Kalman Filter - Type Constraints: Bias and Lagrange Multiplier. 卡门滤波器型限制的变分同化理论:偏差和拉格朗日放大器。
- A Wavelet-Based Reduced Rank Kalman Filter for Assimilation of Stratospheric Chemical Tracer Observations. 平基于小波的降阶Kalman滤波用于平流层化学痕量物观测同化。
- When the observation noise is temporal correlation, Kalman Filter will not be able to achieve optimization, and its covariance matrix will be wrong. 在观测噪声不满足时间不相关的假设情况下，卡尔曼滤波将达不到最优滤波效果，并且其误差协方差阵也是错误的。
- The results of simulation shows that Kalman filter can restrain errors accumulation effectively. 仿真结果显示卡尔曼滤波器能有效地抑制误差积累。
- This algorithm is an extended Kalman filter which adopts the Cartesian coordinates and pseudomeasurements. 通过选取直角坐标及伪测量量构成扩展Kalman滤波。
- Applying the LQR adjuster with forehead kalman filter stabilized single inverted pendulum system successfully. 并应用前置卡尔曼滤波的LQR调节器成功稳定了一级倒立摆系统。
- It utilizes extended Kalman filtering to carry out heterogeneous sensor fusion. 采用扩展卡尔曼滤波实现异质传感器融合。
- Through linearizing the non-linear model we acquire the common method,that is the Extended Kalman Filter (EKF). 最通常的方法是使用扩展卡尔曼滤波(EKF),它只是把所有的非线性模型线性化从而应用传统的线性卡尔曼滤波方法。
