An optimized strategy for particle filter

Aimed at the degradation problem of particle filter, an optimized strategy is proposed. The optimized strategy includes four steps. Firstly, a hybrid proposal distribution with annealing parameter is utilized to consider current information of the latest observed measurement. Moreover, adaptive resa...

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Bibliographic Details
Published inIEEE Conference Anthology pp. 1 - 4
Main Authors Jinxia Yu, Jingmin Xu, Yongli Tang, Qian Zhao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2013
Subjects
adaptive resampling
Algorithm design and analysis
Current measurement
Equations
hybrid proposal distribution
improved PSR algorithm based on weight optimization
Mathematical model
Monte Carlo methods
particle filter
Particle filters
particle mutation operation
Proposals
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Summary:Aimed at the degradation problem of particle filter, an optimized strategy is proposed. The optimized strategy includes four steps. Firstly, a hybrid proposal distribution with annealing parameter is utilized to consider current information of the latest observed measurement. Moreover, adaptive resampling is adopted with effect sample size. Furthermore, an improved PSR resampling algorithm based on weight optimization is presented. Lastly, particle mutation operation after resampling is implemented. With the simulation program, the performance of the proposed algorithm is evaluated and its validity is verified.
DOI:10.1109/ANTHOLOGY.2013.6784755