TY - GEN
T1 - Unscented kalman filter/smoother for a CBRN puff-based dispersion model
AU - Terejanu, Gabriel
AU - Singh, Tarunraj
AU - Scott, Peter D.
PY - 2007
Y1 - 2007
N2 - Fixed interval smoothing for systems with nonlinear process and measurement models is studied and applied to the assimilation of sensor data in a Chemical, Biological, Radiological or Nuclear (CBRN) incident scenario. A two-filter smoother that uses a Backward Sigma-Point Information Filter, and also a forward-backward Rauch-Tung-Striebel (RTS) smoothing form are re-derived using the weighted statistical linearization concept. Both methods are derived in the context of the Unscented Kalman Filter. The square root version of the resulting RTS Unscented Kalman Filter / Smoother is applied to a CBRN dispersion puff-based model with variable state dimension, and the data assimilation performance of the method is compared with a Particle Filter implementation.
AB - Fixed interval smoothing for systems with nonlinear process and measurement models is studied and applied to the assimilation of sensor data in a Chemical, Biological, Radiological or Nuclear (CBRN) incident scenario. A two-filter smoother that uses a Backward Sigma-Point Information Filter, and also a forward-backward Rauch-Tung-Striebel (RTS) smoothing form are re-derived using the weighted statistical linearization concept. Both methods are derived in the context of the Unscented Kalman Filter. The square root version of the resulting RTS Unscented Kalman Filter / Smoother is applied to a CBRN dispersion puff-based model with variable state dimension, and the data assimilation performance of the method is compared with a Particle Filter implementation.
KW - Chemical dispersion
KW - Data assimilation
KW - Puff-based model
KW - Sigma-point filtering
KW - Unscented kalman smoother
KW - Variable state dimension
UR - https://www.scopus.com/pages/publications/50149117556
U2 - 10.1109/ICIF.2007.4408076
DO - 10.1109/ICIF.2007.4408076
M3 - Conference contribution
AN - SCOPUS:50149117556
SN - 0662478304
SN - 9780662478300
T3 - FUSION 2007 - 2007 10th International Conference on Information Fusion
BT - FUSION 2007 - 2007 10th International Conference on Information Fusion
T2 - FUSION 2007 - 2007 10th International Conference on Information Fusion
Y2 - 9 July 2007 through 12 July 2007
ER -