Gaussian-Kernel-Based Maximum Correntropy Kalman Filter With Adaptive Kernel Scale Selection
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DOI: 10.1109/jiot.2025.3596048
Abstract: Dynamic systems often encounter disturbances like sensor outliers, which violate the Gaussian noise assumption in traditional Kalman filters (KFs). While maximum correntropy KFs (MCKFs) address this issue by utilizing higher order statistical information, their performance… read more here.
Keywords: kalman; kernel scale; maximum correntropy; selection ... See more keywords