2) steady-state Kalman filtering
稳态Kalman滤波
1.
For the multisensor systems with correlated measurement noises and different measurement matrices,two correlated measurement fusion steady-state Kalman filtering algorithms are presented by using the weighted least squares (WLS)method.
对于带相关观测噪声和带不同观测阵的多传感器系统,用加权最小二乘(Weighted least squares,WLS)法提出了两种相关观测融合稳态Kalman滤波算法。
4) steady-state Kalman filter
稳态Kalman滤波器
1.
Multi-sensor optimal information fusion steady-state Kalman filter weighted by scalars;
多传感器标量加权最优信息融合稳态Kalman滤波器
5) steady-state optimal filtering
稳态最优滤波
6) information fusion steady-state Kalman filter
信息融合稳态Kalman滤波器
1.
Two-sensor information fusion steady-state Kalman filter weighted by diagonal matrices;
两传感器按对角阵加权信息融合稳态Kalman滤波器
补充资料：多重稳态
分子式：
CAS号：
性质：多重态中相对稳定的状态，即当操作参数发生较大变动后再回复到原来的数值，才会使原来的状态发生变化，从一个稳态转变为另一稳态。若多重态有n个,n经常为奇数，则多重稳态的数目一般为()个
CAS号：
性质：多重态中相对稳定的状态，即当操作参数发生较大变动后再回复到原来的数值，才会使原来的状态发生变化，从一个稳态转变为另一稳态。若多重态有n个,n经常为奇数，则多重稳态的数目一般为()个
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