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eess.SP2026
Bernoulli Filtering for Multi-Sensor Tracking with Thresholded Measurements
Gustav Zetterqvist, Fredrik Gustafsson, Gustaf Hendeby
Target tracking is challenging when sensor detection thresholds cause state-dependent missed detections, particularly in multi-sensor scenarios with clutter and uncertain target ex…
eess.SP2024
Adaptive Basis Function Selection for Computationally Efficient Predictions
Anton Kullberg, Frida Viset, Isaac Skog +1
Basis Function (BF) expansions are a cornerstone of any engineer's toolbox for computational function approximation which shares connections with both neural networks and Gaussian…
eess.SP2024
Joint State and Parameter Estimation Using the Partial Errors-in-Variables Principle
Peng Liu, Kailai Li, Gustaf Hendeby +1
This letter proposes a new method for joint state and parameter estimation in uncertain dynamical systems. We exploit the partial errors-in-variables (PEIV) principle and formulate…