Robust multi-sensor data fusion
| Data(s) |
01/01/2009
|
|---|---|
| Resumo |
This research obtains the optimal estimation and data fusion for linear and nonlinear systems suffering from uncertain observations (missing measurements). The noise from the different data sources are considered to correlated. The derivation of the robust Kalman filter for systems subject to aditional uncertainties in the modelling parameters is presented. |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Deakin University, Institute for Technology Research and Innovation |
| Palavras-Chave | #Multisensor data fusion #Sensor networks #Nonlinear systems #Linear systems #Kalman filtering |
| Tipo |
Thesis |
