Maximum mixture correntropy based Student-t kernel adaptive filtering for indoor positioning of Internet of Things

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Weinan Jia, Xifeng Li, Dongjie Bi, Yongle Xie

Published: 01 Jan 2025, Last Modified: 05 Nov 2025Inf. Sci. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A novel maximum mixture correntropy kernel adaptive filter is proposed for indoor localization.•A Student-t kernel is utilized to fight against non-Gaussian noise in the proposed filter.•The accuracy and robustness performance can be greatly guaranteed via the proposed filter.