Adaptive Unscented Kalman Filter for Target Tacking with Time-Varying Noise Covariance Based on Multi-Sensor Information Fusion

In this paper, an innovative optimal information fusion methodology based on adaptive and robust unscented Kalman filter (UKF) for multi-sensor nonlinear stochastic systems is proposed. Based on the linear minimum variance criterion, this multi-sensor information fusion method has a two-layer archit...

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Detalles Bibliográficos
Autores principales: Wang, Dapeng, Zhang, Hai, Ge, Baoshuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434080/
https://www.ncbi.nlm.nih.gov/pubmed/34502699
http://dx.doi.org/10.3390/s21175808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434080/
https://www.ncbi.nlm.nih.gov/pubmed/34502699
http://dx.doi.org/10.3390/s21175808

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