2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters

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...

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Bibliographic Details
Main Authors: Asfia Urooj, Aastha Dak, Branko Ristic, Rahul Radhakrishnan
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
nonlinear filtering
non Gaussian noise
maximum correntropy criterion
Gaussian kernel
Cauchy kernel
Online Access:https://www.mdpi.com/1424-8220/22/15/5625

Internet

https://www.mdpi.com/1424-8220/22/15/5625

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