由于状态和观测方程都是非线性的，故采用了扩展的卡尔曼滤波器。
Due to the nonlinearity of the state and measurement equations, the extended Kalman filter is used.
介绍了利用卡尔曼滤波器估计弹道参数进而外推出敌方炮位的方法。
A method for estimating trajectory parameters by Kalman filter is introduced in this paper.
提出了一种采用卡尔曼滤波器作为杂波背景预测器的小目标检测方法。
A small target detection method using Kalman filter as the clutter background prediction was presented.
逐次正交化分布式卡尔曼滤波器是对大系统进行状态估计的一种新方法。
The Successive Orthogonalization Decentralized Kalman Filter (SODKF ) is a new method which is used for large system state estimation.
针对线性随机系统提出了一种改进强跟踪卡尔曼滤波器(MSTKF)。
A modified strong tracking Kalman filter (MSTKF) for linear stochastic systems is proposed.
提出一种基于卡尔曼滤波器的永磁同步电机永磁体磁场状况在线监测方法。
A new on-line permanent magnet flux linkage identification method for PMSM is presented to reduce the negative influence caused by demagnetization or position feed-back error.
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 mentioned error can be estimated by using the extended Kalman filters, and the estimated error is used for calibrating the sensor measurement.
验证了DGPS和卡尔曼滤波器在提高GPS接收机定位精度方面的有效性。
The efficiency of differential global position system (DGPS) a nd Kalman filter on improving GPS receiver's positioning accuracy are verified.
算法构造巧妙，由于使用了较少的卡尔曼滤波器，算法实时性好，鲁棒性更好。
The whole algorithm conformation is very skilled. Because the number of kalman filter is lesser, algorithm is real-time, and robust.
提出了采用扩展卡尔曼滤波器估计入射波参数(入射角度和入射功率)的方法。
A method for estimating the parameters of incident wave Angle and incident power by the use of the extended kalman filter is proposed.
分析了基于卡尔曼滤波器的残差检验法对传感器缓变故障检测的不敏感性原因。
The reason that the residual test method based on Kalman filter is insensitive to sensor soft fault detection is analyzed.
利用改进的自适应增益卡尔曼滤波器在随机模式下建立一个小型姿态确定系统。
An extended Kalman filter with adaptive gain was used to build a miniature attitude and heading reference system based on stochastic model.
跟踪阶段用卡尔曼滤波器结合肤色特征跟踪人脸，如果跟踪失败，转入检测阶段。
In the tracking stage, track face using kalman filter and skin-color feature, if fail to track then turn into detecting stage.
讨论了建立卡尔曼滤波器的基本变量，最后探讨了卡尔曼滤波的多模型估计算法。
The basic variations in Kalman filter architecture are discussed and the multiple model estimation algorithm is presented as well.
本文提出了一种利用扩展卡尔曼滤波器算法来估计BLDCM的转速和位置的方法。
A novel method for speed and rotor position estimation of BLDCM, which applies extend Kalman filter (EKF), is presented in this paper.
在假定系统方程和过程方差的情况下，轮速信号的处理采用了卡尔曼滤波器的结构。
In this paper, measurement variance of the system is obtained with second order polynomial data fitling based on actual variance data of wheel speed signals.
移动机器人的导航子系统利用卡尔曼滤波器，融合由视觉系统与由里程计获得的位置估计值。
The navigation subsystem of the mobile robot fuses the position estimation obtained by a vision system with the position estimated by odometry using a Kalman filter.
在此基础上，应用了最优状态反馈控制和卡尔曼滤波器模块，构成了完整的LQG控制系统。
Moreover, the optimal state-feedback control modules and Kalman filter are added in the model, then the whole LQG control system is constructed directly.
本文设计的卡尔曼滤波器适用于对地观测卫星的测量系统，能获取较低噪声的姿态测量信息。
The Kalman filter is suitable to the measuring system of a remote sensing satellite, by which an attitude measurement information with lower noise can be obtained.
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 element of template is probability of eigenvalue of target. These probability are acquire by a kalman filter group which had 48 kalman filters.
本文提出了一种应用推广卡尔曼滤波器来估计非线性系统参数的方法，井获得了较为满意的结果。
In this paper a method of parameter estimation for nonlinear system is proposed by applying the extended Kalman filter and more satisfactory results are obtained.
仿真结果表明，该改进滤波器跟踪机动目标的精度高于常规卡尔曼滤波器和强跟踪卡尔曼滤波器。
The results of simulation indicate that this new approach has a better accuracy than the traditional Kalman filter and strong tracking Kalman filter in the field of maneuvering target tracking.
为了提高卡尔曼滤波估计精度，提出了一种基于回归神经网络补偿卡尔曼滤波器估计误差的方法。
A method based on recurrent neural network compensation Kalman's evaluation error is proposed in order to enhance the evaluation precision.
采用卡尔曼滤波器对目标进行跟踪时，目标初始状态估计是影响初始阶段跟踪精度的一个重要原因。
When using Kalman Filter to track a target, estimation of the initial state of the target is an important factor influencing tracking precision in the initial phase.
当运动目标相互遮挡时，在卡尔曼滤波器预测区域内采用交叉搜索法实现多个运动目标的精确匹配。
When a dynamic occlusion occurred between two or more objects, the accurate matching of several moving objects could be obtained by using cross search method in the forecast area of Kalman filter.
其次，利用线性卡尔曼滤波器对其纵向运动姿态进行估计，依据LQG性能指标构造了最优控制规律。
Then the pose of longitudinal motion is estimated by linear Kalman filter. Finally, an optimal control rule is constructed by LQG performance index.
针对基于卡尔曼滤波器的残差检验法会跟踪软故障的局限性，提出了一种基于状态递推器的改进方法。
For the disadvantage of tracking the soft failure of the residual test based on Kalman filter, this paper makes an improvement on the method by using the state propagator.
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。
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.
本文依据卡尔曼滤波器在使用最佳增益时，其余差序列互不相关的性质，开发了一种新的渐消滤波算法。
A new fading filtering algorithm is developed based on the property of Kalman filter that the sequence of residuals is uncorrelated when the optimal gain is used.
本文针对无速度传感器异步电机矢量控制系统，提出了一个基于卡尔曼滤波器的异步电机速度辨识方法。
For a vector control of a speed sensor less induction motor drive system, a novel speed estimated method using an extended Kalman filter is proposed.
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