Two Kalman filters were used in this method.
该方法使用了两步卡尔曼滤波。
Filtering residuals are employed to adaptively tune all the parameters of Kalman filters.
在滤波过程中，通过分析滤波残差动态，调整滤波方程中的各种参数。
Therefore a new method of Kalman Filters used in phase unwrapping and noise restraining is proposed.
并提出了卡尔曼滤波在相位解缠与噪声抑制中的一种新算法。
In this paper the method using Kalman filters for the deteCtion and isolation of engine sensors is discussed.
讨论了采用卡尔曼滤波器对发动机传感器故障进行检测、分离问题。
The exchange of two nonlinear Kalman filters was used to improve the fusion accuracy in the state estimation.
在作状态估计时，采用两组非线性卡尔曼滤波切换提高融合精度。
Then a bank of Kalman filters are used to process the mode probability of each fault mode occurred under different movement states.
最后，根据故障发生的概率值判断故障模式发生的可能性。
The mentioned error can be estimated by using the extended Kalman filters, and the estimated error is used for calibrating the sensor measurement.
利用扩展卡尔曼滤波器估计这种偏差，并用估计偏差对传感器测量进行校正。
The element of template is probability of eigenvalue of target. These probability are acquire by a kalman filter group which had 48 kalman filters.
模板的元素取自目标特征值的概率，通过48个卡尔曼滤波器可以跟踪所有特征值的概率变化。
The orbit states estimation is achieved through the extended Kalman filters design. The simulation results verify the validity of this navigation method, and show preferable navigation accuracy.
设计扩展卡尔曼滤波器进行卫星编队轨道状态估计，数学仿真结果验证了这种导航方案和算法的有效性。
Considering a class of networked control systems with time delays, a novel method was proposed to design Kalman filters with delay compensation, and it was used to estimate the state of the system.
考虑一类时延网络控制系统，提出了一种具有时延补偿功能的卡尔曼滤波器设计方法，并对系统进行状态估计。
Considering a class of networked control systems with time delays, a novel method was proposed to design Kalman filters with delay compensation, and it was used to estimate the state of the system.
考虑一类时延网络控制系统，提出了一种具有时延补偿功能的卡尔曼滤波器设计方法，并对系统进行状态估计。
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