A study on an algorithm of multisensor data fusion

Author

Sun, Houngyan ; Hu, Wenlong ; Lin, Pinxing ; Mao, Shiyi

Author_Institution

Dept. of Electron. Eng., Beijing Univ. of Aeronaut. & Astronaut., China

fYear

1994

fDate

23-27 May 1994

Firstpage

239

Abstract

Multisensor data fusion seeks to combine data from multiple sensors to perform inferences that may not be possible from a single sensor alone. The two main processes in multisensor data fusion system are the tracking and data fusion algorithms. A new hierarchical algorithm for the multisensor data fusion is proposed in the paper. The realization architecture for the new track fusion equations is also presented. The simulation results included in the paper indicate that the method is effective to the multisensor multitarget tracking problem

Keywords

Kalman filters; computerised instrumentation; digital simulation; filtering and prediction theory; linear systems; sensor fusion; signal processing; state estimation; tracking; Kalman filtering; architecture; data fusion algorithms; hierarchical algorithm; linear Gaussian case; multiple sensors; multisensor data fusion; multisensor multitarget tracking; track fusion equations; tracking; Data engineering; Equations; Error correction; Filtering algorithms; Manufacturing automation; Remote sensing; Robot sensing systems; Robotics and automation; Sensor fusion; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National

Conference_Location

Dayton, OH

Print_ISBN

0-7803-1893-5

Type

conf

DOI

10.1109/NAECON.1994.332999

Filename

332999