An <i>O</i>(log<sub>2</sub><i>N</i>) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures

An <i>O</i>(log<sub>2</sub><i>N</i>) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures

Resampling is a well-known statistical algorithm that is commonly applied in the context of Particle Filters (PFs) in order to perform state estimation for non-linear non-Gaussian dynamic models. As the models become more complex and accurate, the run-time of PF applications becomes increasingly slo...

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Bibliographic Details
Main Authors: Alessandro Varsi, Simon Maskell, Paul G. Spirakis
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Algorithms
Subjects:
parallel computing
resampling
Particle Filters
high performance computing
Distributed Memory
message passing interface
Online Access:https://www.mdpi.com/1999-4893/14/12/342

Internet

https://www.mdpi.com/1999-4893/14/12/342

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