Distributed Localization and Tracking of Mobile Networks Including Noncooperative Objects
Journal article, 2016

We propose a Bayesian method for distributed sequential localization of mobile networks composed of both cooperative agents and noncooperative objects. Our method provides a consistent combination of cooperative self-localization (CS) and distributed tracking (DT). Multiple mobile agents and objects are localized and tracked using measurements between agents and objects and between agents. For a distributed operation and low complexity, we combine particle-based belief propagation with a consensus or gossip scheme. High localization accuracy is achieved through a probabilistic information transfer between the CS and DT parts of the underlying factor graph. Simulation results demonstrate significant improvements in both agent self-localization and object localization performance compared to separate CS and DT, and very good scaling properties with respect to the numbers of agents and objects.

message passing

consensus

gossip

sensor network.

belief propagation

Agent network

cooperative localization

factor graph

distributed tracking

distributed estimation

Author

Florian Meyer

Ondrej Hlinka

Henk Wymeersch

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Erwin Riegler

Franz Hlawatsch

IIEEE Transactions on Signal and Information Processing over Networks

2373-776X (eISSN)

Vol. 2 1 57-71

Cooperative Situational Awareness for Wireless Networks (COOPNET)

European Commission (FP7), 2011-05-01 -- 2016-04-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

DOI

10.1109/TSIPN.2015.2511920

More information

Created

10/8/2017