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- Robust Kalman Filter of the Guaranteed Estimation Performance for a Continuous-Time Descriptor System with Uncertain Noise 具有不确定噪声的连续时间广义系统确保估计性能的鲁棒Kalman滤波器
- robust Kalman filter 稳健卡尔曼滤波
- Research on the Application of Adaptive Robust Kalman Filtering Technique in the Electrostatic Supported Gyro Monitor 自适应鲁棒Kalman滤波技术在静电陀螺监控器中的应用研究
- The problems encountered when using Kalman filter for satellite precise orbit determination are discussed.And a new nonlinear adaptively robust filter is proposed. 摘要讨论了应用卡尔曼滤波进行卫星精密定机所遇到的一些问题,提出了一种新的非线性自适应抗差滤波定轨算法。
- robust Kalman filtering 鲁棒Kalman滤波
- 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。
- robust and extended Kalman filter 鲁棒扩展Kalman滤波器
- 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。