1) concentrated Kalman filter
集中卡尔曼滤波
1.
Some filter methods in integrated navigation system were presented,such as the concentrated Kalman filter and the federal Kalman filter in traditional filter methods,and the neural network filter in the nontraditional filter methods.
介绍了用于组合导航系统中的几种常用的滤波方法—如传统滤波方法中的集中卡尔曼滤波和联邦卡尔曼滤波、非传统滤波方法中的神经网络滤波,并从理论上分析了传统滤波方法和非传统滤波方法的优点和不足,最后以SINS/GPS组合导航系统为例进行了仿真。
2) centralized Kalman filter
集中式卡尔曼滤波
3) ensemble Kalman filter
集合卡尔曼滤波
1.
Assisted history-matching method based on ensemble Kalman filter
基于集合卡尔曼滤波的油藏辅助历史拟合
2.
Application of Ensemble Kalman filter to streamflow forecasting on hydrological model
集合卡尔曼滤波在流域水文模型流量预报中的应用
3.
Real-updating multivariate analysis for unsteady flows with ensemble Kalman filter
水动力学模型与集合卡尔曼滤波耦合的实时校正多变量分析方法
4) Kalman Filtering
卡尔曼滤波
1.
Study on seam tracking technique based on the Kalman Filtering;
基于卡尔曼滤波的焊缝跟踪技术研究
2.
Simultaneous Determination of Mixed Amino Acids by Kalman Filtering Spectrophotometry;
卡尔曼滤波分光光度法同时测定混合氨基酸
3.
Kalman filtering based traffic information fusion method;
基于卡尔曼滤波的交通信息融合方法
5) Kalman filter
卡尔曼滤波
1.
Simultaneous Determination of Sorbic Acid and Benzoic Acid in Soy and Vinegar by Kalman Filtering UV Spectrophotometry;
卡尔曼滤波紫外光度法同时测定酱油、食醋中的山梨酸和苯甲酸
2.
Simultaneous Determination of Zinc Cadmium and Lead by Kalman Filter-Speetrophotometry;
卡尔曼滤波分光光度法同时测定锌、镉、铅
3.
Kalman Filter Determination of Rare Earth Elements by ICP-AES and Correction of Spectral interferences;
卡尔曼滤波ICP－AES法分析稀土元素及其对光谱干扰的校正
6) Kalman filtering algorithm
卡尔曼滤波
1.
This paper introduces the applications of Kalman filtering algorithm for maneuvering target with single wave band IRST, A tracking algorithm based on the method of minimum square error data fusion for maneuvering target with dual wave band IRST is realized.
介绍了卡尔曼滤波在单波段红外警戒机动目标跟踪中的应用,利用最小方差数据融合算法,实现了 双波段红外警戒机动目标的搜索与跟踪。
2.
It decreases the random noises by using adaptive Kalman filtering algorithm,advances the processing precision of radar datas and makes a good effect in practice application.
针对单脉冲雷达上存在的测量误差进行了详细的研究和分析,通过与单脉冲测量雷达数据的误差模型进行比较,并给出了比较的图形,判断出系统产生误差的原因,通过采取四象限比较法总结出了系统误差出现的规律,并由此推导出系统误差模型,从而实现了对系统误差进行有效的修正;同时运用自适应卡尔曼滤波的方法抑制了随机噪声,从而提高了雷达测量数据的处理精度,这一方法在实际应用中证明是行之有效的,并且取得了良好的效果。
3.
Further, the parameters of fuzzy model are estimated by means of Kalman filtering algorithm.
首先 ,利用在线模糊竞争学习方法划分输入变量的模糊输入空间 ,然后利用卡尔曼滤波算法估计模糊模型的参数 。
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