Research on Resampling Algorithms for Particle Filter

DOI

10.2991/ictcs-14.2014.6How to use a DOI?

Keywords

particle filter; particle degeneracy; resampling algorithms; moving-target tracking; performance

Abstract

Particle filter has been widely applied in many fields in recent years. In order to reduce the particle degeneracy problem, some resampling strategies are introduced to improve the real-time performance of particle filtering. In this article, we present many resampling algorithms and their modified strategy, combining with the simulation experiments of two moving-target tracking models and the efficiency of some algorithms are evaluated.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaohui Zeng
AU  - Yibing Shi
AU  - Yi Lian
PY  - 2014/05
DA  - 2014/05
TI  - Research on Resampling Algorithms for Particle Filter
BT  - Proceedings of the 2nd International Conference on Teaching and Computational Science
PB  - Atlantis Press
SP  - 23
EP  - 27
SN  - 1951-6851
UR  - https://doi.org/10.2991/ictcs-14.2014.6
DO  - 10.2991/ictcs-14.2014.6
ID  - Zeng2014/05
ER  -