1) recursive Kalman filtering algorithm
递推卡尔曼滤波算法
2) Kalman filter algorithm
卡尔曼滤波算法
1.
Therefore,we transform the rotational velocity of propeller to the speed of AUV,use the method of data fuse and presents a Kalman filter algorithm of AUV/SINS integrated navigation to reduce navigation error.
针对由于复杂海洋环境导致的DVL失效,使整个导航精度急剧下降的情况,该文将螺旋桨转速变换成AUV航速,利用航速惯导组合系统信息融合方法,提出了一种通过航速惯导组合导航的卡尔曼滤波算法,可以减小导航误差。
2.
Kalman filter algorithms for bearing-only target tracking are discussed.
本文介绍了纯方位目标运动分析的卡尔曼滤波算法,利用Lyapunov稳定性理论,通过计算算法的稳定性度量值,对三种卡尔曼滤波算法的稳定性进行了分析讨论,并通过仿真计算对各方法的估计性能进行了比较。
3.
Adaptive α-β filter algorithm was introduced,and then it was compared to LSR filter algorithm and Kalman filter algorithm,the mean square deviation of distance,position,speed and direction of these algorithms on the flight line was analyzed to discuss the specific use of the three filters in straight-line flight and about-sh.
介绍了一种改进的α-β滤波算法,然后将它和最小二乘滤波算法、卡尔曼滤波算法进行比较,对三种算法跟踪空中目标的直线飞行、改变航向的直线飞行两种情况的距离、方位、速度和航向等参数的均方差加以分析,证明了改进的α-β滤波算法在直线飞行模型下有着很好的综合效果,且计算量小,更有利于系统建模与仿真。
3) Kalman filtering algorithm
卡尔曼滤波算法
1.
Realization of kalman filtering algorithm of two dimensions in aerial information processing system;
空情处理系统中二维卡尔曼滤波算法及实现
2.
Through analysis on the running characteristics of the public transport vehicles,and then using Kalman filtering algorithm establish the prediction model for the travel time of the public transport vehicles.
通过分析公交车辆的行驶特性,利用卡尔曼滤波算法建立行程时间预测模型,并用该模型预测未来时段的公交车辆路段行程时间。
3.
In order to eliminate the effect of time delay of tactical digital information link(TADIL) on situation judgement in multifighter cooperative combat,we use a kind of Kalman filtering algorithm in polar coordinates to compensate for the error of time delay resulted from data link transmission.
为了解决多机协同空战中数据链延时对空战态势判断带来的影响,本文应用了一种极坐标系下的卡尔曼滤波算法,对数据链的传输延时误差进行补偿,并在此基础上进行目标运动参数的转换,计算工程技术人员感兴趣但机载测量设备无法测量的目标信息,比如目标进入角。
4) Kalman filter
卡尔曼滤波算法
1.
The three algorithms refer to an substituted alpha-beta filter,an adaptive single model kalman filter and an interacting multiple model Kalman filter respectively.
研究比较了用于空中交通管制中飞行轨迹预测问题的三种不同算法,即α/β或α/β/γ滤波算法、自适应单一模型卡尔曼滤波算法和当前正研究应用的相互作用多模型卡尔曼波算法。
2.
In addition, this paper describes the implementation of the Kalman Filter in details.
针对组合导航中的滤波技术，本文在工程背景下，深入研究了位置、速度组合的卡尔曼滤波算法，并完成算法实现。
5) kalman algorithm
卡尔曼滤波算法
1.
Tap-mobile equalizer based on Kalman algorithm;
基于卡尔曼滤波算法的活动抽头均衡器
2.
Comparison is specially performed between Fourier algorithm and Kalman algorithm.
最后,对傅氏算法和卡尔曼滤波算法进行了比较。
6) extended Kalman filter
推广卡尔曼滤波
1.
Based on Extended Kalman Filter Position Sensorless Control for Permanent Magnet Synchronous Motor;
基于推广卡尔曼滤波的永磁同步电机无位置传感器控制
2.
To satisfy the high accuracy of attitude determination for three-axis stabilized geostationary meteorological sat- ellite image navigation,a new approach combined gyro with star sensors is proposed,and a real-time algorithm for aiti- tude estimation combined predictive filter and extended Kalman filter is designed.
为了满足三轴稳定静止气象卫星图像导航中姿态确定的高精度要求,提出了陀螺仪和星敏感器的组合定姿方案,并且设计了联合采用预测滤波和推广卡尔曼滤波的实时姿态估计算法。
3.
This oaoer oresebts an approach of position sensorle4ss control for permanent magnet synchronous motor(PMSM)based on extended Kalman filter(EKF).
介绍了一种基于推广卡尔曼滤波算法的永磁同步电机无位置传感器控制方案。
补充资料：卡尔曼滤波
见波形估计。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条