Radar Target Tracking for Unmanned Surface Vehicle Based on Square Root Sage–Husa Adaptive Robust Kalman Filter

Radar Target Tracking for Unmanned Surface Vehicle Based on Square Root Sage–Husa Adaptive Robust Kalman Filter

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Dynamic information such as the position and velocity of the target detected by marine radar is frequently susceptible to external measurement white noise generated by the oscillations of an unmanned surface vehicle (USV) and target. Although the Sage–Husa adaptive Kalman filter (SHAKF) has been app...

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Bibliographic Details
Main Authors: Fan, Y. (Author), He, Z. (Author), Mu, D. (Author), Qiao, S. (Author), Wang, G. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Adaptive filtering
Adaptive filters
Clutter (information theory)
Covariance matrix
Kalman filter algorithms
Kalman filters
Marine radar
Measurement Noise
position
Position
Radar measurement
Radar target tracking
Sage-husa
Sage–Husa adaptive Kalman filter
Sage-Husa adaptive Kalman filters
Square root sage–husa adaptive robust kalman filter
square root Sage–Husa adaptive robust Kalman filter
Square-root
Surface target
target tracking
Target tracking
Targets tracking
Tracking radar
unmanned surface vehicle
Vehicles
velocity
White noise
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