Hierarchical filtration for distributed linear multisensor systems

• Autorzy: Duda Z.
• Języki publikacji: EN

Abstrakty

EN

In the paper two filtration algorithms for distributed multisensor system are presented. The first one is derived for a linear dynamical system composed of local subsystems described by local state equations. Local estimates are sent to a central station to be fused and formed an optimal global estimate. The second algorithm is derived for a system observed by local nodes that determine estimates of the whole system using local information and periodically aggregated information from other nodes. Periodically local estimates are sent to the central station to be fused. Owing to this a reduced communication can be achieved.

Słowa kluczowe

EN

multisensor system; distributed Kalman filtering; decentralized filtration; hierarchical fusion; aggregated information

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2012
• Tom: Vol. 22, no. 4
• Strony: 507--518
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Duda Z.

• Institute of Control, Silesian Technical University, Poland

Bibliografia

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