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 :
بازگشت