TY  - CHAP
AU  - Guocan Wu
AU  - Xiaogu Zheng
ED  - Ginalber Luiz de Oliveira Serra
Y1  - 2017-12-20
PY  - 2017
T1  - The Error Covariance Matrix Inflation in Ensemble Kalman Filter
N2  - This book presents recent issues on theory and practice of Kalman filters, with a comprehensive treatment of a selected number of concepts, techniques, and advanced applications. From an interdisciplinary point of view, the contents from each chapter bring together an international scientific community to discuss the state of the art on Kalman filter-based methodologies for adaptive/distributed filtering, optimal estimation, dynamic prediction, nonstationarity, robot navigation, global navigation satellite systems, moving object tracking, optical communication systems, and active power filters, among others. The theoretical and methodological foundations combined with extensive experimental explanation make this book a reference suitable for students, practicing engineers, and researchers in sciences and engineering.
BT  - Kalman Filters
SP  - Ch. 2
UR  - https://doi.org/10.5772/intechopen.71960
DO  - 10.5772/intechopen.71960
SN  - 978-953-51-3828-0
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-25
ER  -