Gossip-Based Distributed Tracking in Networks of Heterogeneous Agents

We consider the distributed tracking problem in networks of heterogeneous agents with limited sensing and communication ranges. A gossip-based distributed Kalman filter (GDKF) is proposed, where an average consensus on predictions of different agents is achieved by randomized, asynchronous gossip al...

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Veröffentlicht in:	IEEE communications letters 2017-04, Vol.21 (4), p.801-804
Hauptverfasser:	Ma, Kangjian, Wu, Shaochuan, Wei, Yuming, Zhang, Wenbin
Format:	Artikel
Sprache:	eng
Schlagworte:	Agent networks distributed estimation Estimation gossip Handover Kalman filter Kalman filters Noise measurement Sensors Target tracking
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