Cargando…
2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters
In this paper, angles-only target tracking (AoT) problem is investigated in the non Gaussian environment. Since the conventional minimum mean square error criterion based estimators tend to give poor accuracy in the presence of large outliers or impulsive noises in measurement, a maximum correntropy...
Autores principales: | Urooj, Asfia, Dak, Aastha, Ristic, Branko, Radhakrishnan, Rahul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370889/ https://www.ncbi.nlm.nih.gov/pubmed/35957180 http://dx.doi.org/10.3390/s22155625 |
Ejemplares similares
-
Student’s t-Kernel-Based Maximum Correntropy Kalman Filter
por: Huang, Hongliang, et al.
Publicado: (2022) -
Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation
por: Liu, Xi, et al.
Publicado: (2016) -
Adaptive Robust Unscented Kalman Filter via Fading Factor and Maximum Correntropy Criterion
por: Deng, Zhihong, et al.
Publicado: (2018) -
Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise
por: Leite, Glauber Rodrigues, et al.
Publicado: (2023) -
Variational Bayesian-Based Improved Maximum Mixture Correntropy Kalman Filter for Non-Gaussian Noise
por: Li, Xuyou, et al.
Publicado: (2022)