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- The aircraft velocity is difficult to be measured, therefore using generalized Kalman filter to estimate the state of nonlinear model, which is the input of anti-skid braking controller. 由于飞机滑跑时的真实速度很难测量,为此采用广义卡尔曼滤波器得到飞机刹车系统非线性模型的状态估计,状态估计值作为防滑刹车控制器的输入。
- Deductive proof of generalized kalman filter recursive formula 广义卡尔曼滤波递推公式的证明
- In order to eliminate the influences of gyro errors in the actual environment,an on-site general kalman filtering calibration approach for gyro erros is put foward. 为了补偿在实际使用环境中陀螺误差对捷联惯导系统带来的影响,提出了陀螺误差的现场系统标定方法。
- generalized Kalman filter 广义卡尔曼滤波
- Monitor signal processing of optic thin film based on generalized Kalman filters 基于广义卡尔曼滤波的光学膜厚监控信号处理
- 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;
- generalized Kalman filtering 广义Kalman滤波
- 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。