DocumentCode :
3626797
Title :
Track fusion using equivalent innovations
Author :
Darko Musicki;Robin J. Evans
Author_Institution :
Melbourne Systems Laboratory, Dept. Electrical and Electronic Engineering, University of Melbourne, Parkville VIC 3010, Australia
fYear :
2007
fDate :
7/1/2007 12:00:00 AM
Firstpage :
1
Lastpage :
8
Abstract :
We investigate the problem of transmitting track state to a fusion center using minimum computational resources. Local track state is not updated and not transmitted, unless local measurements sufficiently decrease local track state uncertainty. Track state information is coded using equivalent innovations. To prevent the accumulation - random walk of coding/decoding errors (coding noise), with potentially unbounded errors, equivalent innovations incorporate the coding noise. Simulations demonstrate negligible information loss when using the equivalent innovations, compared to the optimal central fusion using unlimited bandwidth.
Keywords :
"Technological innovation","Target tracking","Trajectory","Covariance matrix","Noise measurement","Australia","Decoding","Surveillance","Sensor fusion","Estimation error"
Publisher :
ieee
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Type :
conf
DOI :
10.1109/ICIF.2007.4408043
Filename :
4408043
Link To Document :
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