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Adaptive Robust Unscented Kalman Filter via Fading Factor and Maximum Correntropy Criterion
In most practical applications, the tracking process needs to update the data constantly. However, outliers may occur frequently in the process of sensors’ data collection and sending, which affects the performance of the system state estimate. In order to suppress the impact of observation outliers...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112039/ https://www.ncbi.nlm.nih.gov/pubmed/30042346 http://dx.doi.org/10.3390/s18082406 |