1) robust Kalman filter
抗差Kalman滤波
1.
With the effect on the Kalman filter caused by the abnormal of the observations being considered in GPS kinematic positioning, the robust Kalman filter is constructed, and the error influence functions corresponding to the estimation of ambiguity are derived.
对于GPS动态定位数据的处理,按抗差估计原理,构造了状态向量和观测值对模糊度的影响函数,并由此建立了动态GPS定位的抗差Kalman滤波解法。
2.
With the effect on the Kalman filter caused by abnormal of the observations being considered in GPS kinematic positioning, the robust Kalman filter is constructed, and the error influence functions corresponding to the estimation of ambiguity are derived.
按抗差估计原理 ,文中构造了状态向量和观测值对模糊度的影响函数 ,并由此建立了动态GPS定位的抗差Kalman滤波解法。
2) adaptive robust kalman filtering
自适应抗差Kalman滤波
1.
After a brief review of robust estimator in this paper, a adaptive robust kalman filtering and a federated filtering based on it are presented.
简要介绍了抗差估计理论 ;在顾及扰动异常的情况下 ,把自适应抗差Kalman滤波应用到联邦滤波上 ,对联邦滤波进行了改进 ,提出了一种自适应抗差联邦滤波算法。
3) Adaptively Robust Kalman Filtering
抗差自适应Kalman滤波
4) Central difference kalman filter
中心差分Kalman滤波
5) Kalman filter
Kalman滤波法
1.
This paper presents a new way to estimate the measurement variance of noise in the analytical chemistry signals for the Kalman filter by means of implementing the wavelet analysis, according to that wavelet transformation can separate the noise in high frequency band from the original signal.
根据小波变换能从原始信号中分离高频段噪声的特性 ,本文提出一个用小波分析法从分析化学信号中估计Kalman滤波法所需要的噪声测量方差的新途径。
2.
Compared with traditional ones such as Kalman filter and least squares, the technique results in more accurate estimations of OD split proportions.
与诸如Kalman滤波法和最小二乘法等方法相比,该技术会使得OD分配比例的预测更加精确。
3.
Based upon the principles of Kalman filter method,the authors defined a new parameter,relative chemomic error(ε),to evaluate the asynchronous nature of the components in TCMs,and a derivative parameter as synchronization factor(SF) to quantify the synchronicity of the chemome .
基于Kalman滤波法原理,定义了化合物组异步性特征参数"化合物组相对误差(relative chemomic error,ε)",并据此建立同步性参数"同步性因子(synchronization factor,SF)"和反映化合物组释放同步性的参数"平均同步因子(average synchronization factor,SFav)"等评价参数。
6) Kalman filtering
Kalman滤波
1.
The comparison of three residuals in Kalman filtering model;
Kalman滤波模型中三种残差的比较
2.
Kalman filtering identification of Winkler foundation’s parameter based on Mindlin theory;
基于Mindlin理论Winkler地基参数的Kalman滤波识别
3.
SINS refined initial alignment based on Elman neural network and Kalman filtering;
基于Elman神经网络和Kalman滤波的捷联惯导精对准
补充资料：差差
1.犹参差。不齐貌。
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参考词条