Design of ESS-based Adaptive Particle Filter for Real-time Tracking
Author:
Affiliation:
1. Hunan Normal University,Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control,Changsha,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10269795/10270814/10270824.pdf?arnumber=10270824
Reference14 articles.
1. Performance and complexity analysis of adaptive particle filtering for tracking applications;bolic;Conference Record of the Thirty-Sixth Asilomar Conference on Signals Systems and Computers,2002
2. Using learning for approximation in stochastic processes;koller;ICML,1998
3. Effective sample size for importance sampling based on discrepancy measures
4. Adapting the Sample Size in Particle Filters Through KLD-Sampling
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