A novel hybrid resampling algorithm for parallel/distributed particle filters

Parallel/Distributed particle filters have been widely used in the estimation of states of dynamic systems by using multiple processing units (PUs). In parallel/distributed particle filters, the centralized resampling needs a central unit (CU) to serve as a hub to execute the global resampling. The...

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Vydané v:	Journal of parallel and distributed computing Ročník 151; s. 24 - 37
Hlavní autori:	Zhang, Xudong, Zhao, Liang, Zhong, Wei, Gu, Feng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.05.2021
Predmet:	Convergence Parallel and distributed computing Particle filters Resampling Sequential Monte Carlo methods Parallel and distributed computing Particle filters Sequential Monte Carlo methods Resampling Convergence
ISSN:	0743-7315, 1096-0848
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