Model set adaptive filtering algorithm using variational Bayesian approximations and Rényi information divergence

Model set adaptive filtering algorithm using variational Bayesian approximations and Rényi information divergence

Abstract The paper presents a model set adaptive filtering algorithm based on variational Bayesian approximation (MSA-VB) for the target tracking system with the model and noise uncertainties. The Rényi information divergence, as a criterion, is to choose the best match model that has the minimum di...

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Bibliographic Details
Main Authors: Tianli Ma, ChaoBo Chen, Song Gao
Format: Article
Language:English
Published: SpringerOpen 2020-04-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Target tracking
Variational Bayesian
Model set adaptive
System model uncertainty
Rényi information divergence
Online Access:http://link.springer.com/article/10.1186/s13634-020-00670-x

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