Scalable distributed Kalman filtering through consensus

Autor:	Shrut Kirti, Anna Scaglione
Rok vydání:	2008
Předmět:	Computer science Distributed algorithm Distributed computing Computation Scalability Resource allocation Kalman filter State (computer science) Protocol (object-oriented programming) Wireless sensor network
Zdroj:	ICASSP
ISSN:	1520-6149
DOI:	10.1109/icassp.2008.4518212
Popis:	Kalman filtering is a classical technique with a number of potential distributed applications in sensor networks. In this paper we consider a specific algorithm for distributed Kalman filtering proposed recently by Olfati-Saber [Olfati-Saber, 2005 ]. We design a communication access protocol for wireless sensor networks that is tailored to converge rapidly to the desired estimate and provides scalable error performance as number of sensors increases. By exploiting the structure of the distributed filtering computations, we derive an optimal communication resource allocation policy for minimizing the component-wise state estimation error. We provide simulation results demonstrating the performance of our architecture.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6cfb32acedbdcf7b27fe0c9b6c5001b2 https://doi.org/10.1109/icassp.2008.4518212 Zobrazit plný text záznamu