
[Series 4 | System Identification & Estimation | #11]
#TargetTracking #KalmanFilter #RobustEstimation #Estimation
🎯📡 How can bearings-only tracking remain accurate under non-Gaussian noise?
This work develops a maximum correntropy–based pseudolinear Kalman filter, providing robust estimation in the presence of outliers and heavy-tailed noise.
Title: Maximum correntropy-based pseudolinear Kalman filter for passive bearings-only target tracking
Authors: Asfia Urooj and Rahul Radhakrishnan
Full Text: link.springer.com/article/10.100…



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![Giacomo [ˈd͡ʒaːkomo] Bergami, PhD](https://pbs.twimg.com/profile_images/1857885915621867520/aLmVDazY.jpg)

















