Title :
Fundamental limits in multisensor data fusion
Author :
Daum, Frederick E.
Abstract :
A theoretical bound on the performance of multisensor data fusion is described. This theory can predict the best possible performance achievable with a given configuration of multiple sensors. These results are analogous to the Cramer-Rao bound in nonlinear estimation theory. The purpose of this theory is to understand limits of multisensor data fusion
Keywords :
filtering and prediction theory; signal processing; Cramer-Rao bound; multisensor data fusion; prediction theory; signal processing;
Conference_Titel :
Systems Engineering, 1990., IEEE International Conference on
Conference_Location :
Pittsburgh, PA, USA
Print_ISBN :
0-7803-0173-0
DOI :
10.1109/ICSYSE.1990.203160
