Particle filter based on one-step smoothing with adaptive iteration.
IET Signal Processing(2017)
Abstract
A new one-step particle smoother is explicitly given in the form of proper weighted samples. It is employed iteratively to improve the importance sampling in particle filtering through incorporating the current measurement information into the a priori distribution. An adaptive iteration strategy is proposed to accelerate the running, which introduces a parameter into the weight increment to adjus...
MoreTranslated text
Key words
iterative methods,particle filtering (numerical methods),signal sampling,smoothing methods
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined