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1)  Adaptive Extended Kalman Filtering(AEKF)
自适应推广Kalman滤波
2)  adaptive modified gain extended Kalman filter
自适应修正增益推广Kalman滤波器
3)  extended adaptive Kalman filtering for time-varying systems
推广的时变系统自适应Kalman滤波
4)  adaptive kalman filter
自适应Kalman滤波
1.
Dynamic data process algorithm of accelerometer based on modified adaptive Kalman filter
基于自适应Kalman滤波的加速度计动态数据处理
2.
Based on the dynamics nonlinearities of robot manipulator,a adaptive kalman filter is designed and applied to robot control system in simulation rese.
根据机器人的动态特性,设计了一个自适应Kalman滤波器,并对该滤波器应用于机器人控制系统进行了仿真实验研究。
3.
And Adaptive Kalman filtering is use the observational data to recursive filtering, and at the same time,to properly estimate and amendment the unknown or inaccurate model parameters and the statistical characteristics of noise to weaken the impact of model error,and make the filter results closer to reality.
而自适应Kalman滤波就是在利用观测数据进行递推滤波的同时,实时地对未知的或不确切的模型参数和噪声的统计特性进行适当的估计和修正,以减弱模型误差的影响,使滤波结果更接近于实际。
5)  adaptive Kalman filtering
自适应Kalman滤波
1.
State estimation of oil pipeline based on adaptive Kalman filtering;
基于自适应Kalman滤波的输油管道状态估计
2.
Tracking target by multi-sensor fusion using adaptive Kalman filtering
多传感器跟踪系统自适应Kalman滤波融合
3.
The adaptive Kalman filtering is used for training the link weight of hidden lay and output lay to improve the capability of BP neural network.
针对传统BP神经网络的缺点,使用自适应Kalman滤波训练神经网络隐含层与输出层的连接权。
6)  adaptive Kalman filter
自适应Kalman滤波器
1.
A new adaptive Kalman filter based on ARMA innovation model is designed to detect weak high-frequency CW signal in strong Non-stationary noise environments.
针对此问题,本文提出了一种基于ARMA新息模型的自适应Kalman滤波器检测方法。
补充资料:自适应卡尔曼滤波
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性质:在利用测量数据进行滤波的同时,不断地由滤波本身去判断系统的动态是否有变化,对模型参数和噪声统计特性进行估计和修正,以改进滤波设计,缩小滤波的实际误差。此种滤波方法将系统辨识与滤波估计有机地结合为一体。

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