Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion
G Chang - Journal of Geodesy, 2014 - Springer
A robust Kalman filter scheme is proposed to resist the influence of the outliers in the
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion
G Chang - Journal of Geodesy, 2014 - search.proquest.com
A robust Kalman filter scheme is proposed to resist the influence of the outliers in the
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
[引用][C] Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion
G Chang - Journal of Geodesy, 2014 - cir.nii.ac.jp
Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion
G Chang - Journal of Geodesy, 2014 - infona.pl
A robust Kalman filter scheme is proposed to resist the influence of the outliers in the
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion
G Chang - Journal of Geodesy, 2014 - ui.adsabs.harvard.edu
A robust Kalman filter scheme is proposed to resist the influence of the outliers in the
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion.
G Chang - Journal of Geodesy, 2014 - search.ebscohost.com
A robust Kalman filter scheme is proposed to resist the influence of the outliers in the
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion.
G Chang - Journal of Geodesy, 2014 - search.ebscohost.com
A robust Kalman filter scheme is proposed to resist the influence of the outliers in the
observations. Two kinds of observation error are studied, ie, the outliers in the actual …
observations. Two kinds of observation error are studied, ie, the outliers in the actual …