Title :
Multisensor integration and adaptive filtering in linear stochastic differential systems
Author :
Shin, Vladimir ; Ahn, Jun Il
Author_Institution :
Dept. of Mechatronics, Gwangju Inst. of Sci. & Technol., South Korea
Abstract :
We have derived the GMF, which represents the optimal linear combination of arbitrary number correlated estimates. Each estimate is fused by the minimum mean square error criterion. Using this formula we have derived the new suboptimal filtering algorithm. The proposed suboptimal filter can be widely used in the different areas of applications: industrial, military, space, communication, target tracking, inertial navigation and others.
Keywords :
adaptive filters; filtering theory; least mean squares methods; linear differential equations; linear systems; sensor fusion; stochastic systems; adaptive filtering; arbitrary number correlated estimates; linear stochastic differential systems; minimum mean square error criterion; multisensor integration; optimal linear combination; suboptimal filtering algorithm; Adaptive filters; Aerospace industry; Communication industry; Defense industry; Filtering algorithms; Inertial navigation; Mean square error methods; Military communication; Stochastic systems; Target tracking;
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
DOI :
10.1109/TENCON.2004.1414460
