Stability and Convergence of Stochastic Particle Flow Filters-Reference-Cited by-同舟云学术

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Stability and Convergence of Stochastic Particle Flow Filters

Published:2021-11-01 Issue: Volume: Page:
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Container-title:2021 IEEE 24th International Conference on Information Fusion (FUSION)
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Author:

Dai Liyi,Daum Fred

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9626828/9626830/09627042.pdf?arnumber=9627042

Reference25 articles.

1. A baker’s dozen of new particle flows for nonlinear filters Bayesian decisions and transport;daum;Proc of SPIE Signal Processing Sensor Fusion and Target Recognition XXIV,2015

2. A plethora of open problems in particle flow research for nonlinear filters;daum;Proc of SPIE Signal Processing Sensor Fusion and Target Recognition XXV,2016

3. Exact particle flow for nonlinear filters

4. Gromov's method for Bayesian stochastic particle flow: A simple exact formula for Q

5. New Theory and Numerical Results for Gromov's Method for Stochastic Particle Flow Filters

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Note on Particle Flow Methods for Solving Bayesian Updates;IEEE Transactions on Aerospace and Electronic Systems;2022-10

2. Vehicle Tracking under Vehicle-Road Collaboration Using Improved Particle Flow Filtering Algorithm;2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall);2022-09

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