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Adaptive Maximum Correntropy Gaussian Filter Based on Variational Bayes
In this paper, we investigate the state estimation of systems with unknown covariance non-Gaussian measurement noise. A novel improved Gaussian filter (GF) is proposed, where the maximum correntropy criterion (MCC) is used to suppress the pollution of non-Gaussian measurement noise and its covarianc...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6021905/ https://ncbi.nlm.nih.gov/pubmed/29914205 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18061960 |
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