Maximum Correntropy Criterion Kalman Filter for α-Jerk Tracking Model with Non-Gaussian Noise

Maximum Correntropy Criterion Kalman Filter for α-Jerk Tracking Model with Non-Gaussian Noise

As one of the most critical issues for target track, α -jerk model is an effective maneuver target track model. Non-Gaussian noises always exist in the track process, which usually lead to inconsistency and divergence of the trac...

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Bibliographic Details
Main Authors: Bowen Hou, Zhangming He, Xuanying Zhou, Haiyin Zhou, Dong Li, Jiongqi Wang
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Entropy
Subjects:
Kalman filter
α-jerk model
maximum correntropy criterion
non-Gaussian noise
robustness
influence function
kernel size
Online Access:https://www.mdpi.com/1099-4300/19/12/648

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