DocumentCode
2011050
Title
On state fusers over long-haul sensor networks
Author
Brigham, Katharine ; Kumar, B. V K Vijaya ; Rao, Nageswara S V ; Liu, Qiang ; Wang, Xin
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2012
fDate
13-15 Sept. 2012
Firstpage
95
Lastpage
100
Abstract
We consider a network of sensors wherein the state estimates are sent from sensors to a fusion center to generate a global state estimate. The underlying fusion algorithm affects the performance measure QCC(τ) (with subscripts CC indicating the effects of the communications and computing quality) of the global state estimate computed within the allocated time τ. We present a probabilistic performance bound on QCC(τ) as a function of the distributions of state estimates, communications parameters as well as the fusion algorithm. We present simulations of simplified scenarios to illustrate the qualitative effects of different fusers, and system-level simulations to complement the analytical results.
Keywords
probability; sensor fusion; state estimation; communications parameters; fusion algorithm; global state estimation; long-haul sensor networks; performance measure; probabilistic performance bound; state fusers; system-level simulations; time allocation; Computational modeling; Neural networks; Noise measurement; Radar tracking; Spaceborne radar; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012 IEEE Conference on
Conference_Location
Hamburg
Print_ISBN
978-1-4673-2510-3
Electronic_ISBN
978-1-4673-2511-0
Type
conf
DOI
10.1109/MFI.2012.6343053
Filename
6343053
Link To Document