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Joint Multitarget Tracking and Dynamic Network Localization in the Underwater Domain
Publikationstyp
Conference Paper
Date Issued
2020-05
Sprache
English
Author(s)
Institut
TORE-URI
Volume
2020-May
Start Page
4890
End Page
4894
Article Number
9054047
Citation
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020)
Contribution to Conference
Publisher DOI
Scopus ID
This paper addresses the problem of multitarget tracking using a network of mobile sensors with unknown positions. In contrast to commonly-used approaches which split the sensor localization and target tracking into two different sub-problems, we propose a holistic approach for joint localization and tracking. The theory of graphical models is used to describe the statistical relationship between sensors, targets, and measurements. To jointly infer the states of sensors and targets, we use the statistical processing of belief propagation.