Adaptive Unscented Kalman Filter for Target Tracking with Unknown Time-Varying Noise Covariance

Adaptive Unscented Kalman Filter for Target Tracking with Unknown Time-Varying Noise Covariance

The unscented Kalman filter (UKF) is widely used to address the nonlinear problems in target tracking. However, this standard UKF shows unstable performance whenever the noise covariance mismatches. Furthermore, in consideration of the deficiencies of the current adaptive UKF algorithm, this paper p...

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Bibliographic Details
Main Authors: Baoshuang Ge, Hai Zhang, Liuyang Jiang, Zheng Li, Maaz Mohammed Butt
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
adaptive filtering
data fusion
target tracking
non-linear filtering
unknown noise statistics
Online Access:http://www.mdpi.com/1424-8220/19/6/1371

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