Title :
Covariance comparison of state-vector fusion and measurement fusion
Author :
Jin, Xue-Bo ; Sun, You-Xian
Abstract :
There exist two commonly used data fusion methods in state-vector fusion: absenting of the states dependence (Method I) and accounting for the states dependence (Method II). The comparison of state-vector fusion and measurement fusion shows the performance of two state-vector fusion and measurement fusion is decided by two matrix functions.
Keywords :
covariance matrices; measurement; sensor fusion; vectors; covariance; data fusion methods; matrix functions; measurement fusion; state dependence; state-vector fusion; Control engineering; Covariance matrix; Educational institutions; Erbium; Informatics; Modems; Noise measurement; Sensor fusion; State estimation; Sun;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259844