DocumentCode
3102558
Title
Optimal asynchronous multisensor centralized fusion estimate
Author
Qiu, Ai-bing ; Wen, Cheng-lin
Author_Institution
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume
6
fYear
2009
fDate
12-15 July 2009
Firstpage
3396
Lastpage
3401
Abstract
In this paper the problem of asynchronous multisensor fusion estimate is considered. A new optimal asynchronous centralized fusion algorithm based on left synchronization lifting is presented. Comparing with the existing sequential filtering algorithm, the proposed algorithm has an advantage in computation. Comparing with the asynchronous centralized fusion algorithm based on right synchronization lifting, it guarantees that the lifted system is causal. The equivalence of the algorithms based on right and left synchronization lifting is also proved to show the optimality of the proposed algorithm. An illustrative example is provided to demonstrate the performance of the proposed algorithm.
Keywords
filtering theory; sensor fusion; left synchronization lifting; optimal asynchronous centralized fusion algorithm; optimal asynchronous multisensor centralized fusion estimation; right synchronization lifting; sequential filtering algorithm; Computational complexity; Cybernetics; Filtering algorithms; Intelligent sensors; Machine learning; Noise measurement; Sampling methods; Sensor fusion; Sensor systems; Time measurement; Asynchronous; Kalman filter; data fusion; synchronization lifting;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212782
Filename
5212782
Link To Document