ICASSP 2015accepted0 citations
Adaptive Bayesian tracking with unknown time-varying sensor network performance
Giuseppe Papa, Paolo Braca, Steven Horn, Stefano Maranò, Vincenzo Matta, Peter Willett
Abstract
In practical target tracking problems, the target detection performance of the sensors may be unknown and may change rapidly with time. In this work we develop a target tracking procedure able to adapt and react to time-varying changes of the detection capability for a network of sensors. The proposed tracking strategy is based on a Bayesian framework, in which the dynamic target state is augmented to include the sensor detection probabilities. The method is validated using computer simulations and real-world experiments conducted by the NATO Science and Technology Organization (STO) - Centre for Maritime Research and Experimentation (CMRE).
BibTeX
@inproceedings{icassp2015_adaptivebayesian,
title = {Adaptive Bayesian tracking with unknown time-varying sensor network performance},
author = {Giuseppe Papa and Paolo Braca and Steven Horn and Stefano Maranò and Vincenzo Matta and Peter Willett},
booktitle = {ICASSP 2015},
year = {2015}
}