KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters

KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters

IntroductionTracking the hidden states of dynamic systems is a fundamental task in signal processing. Recursive Kalman Filters (KF) are widely regarded as an efficient solution for linear and Gaussian systems, offering low computational complexity. However, real-world applications often involve non-...

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Bibliographic Details
Main Authors:	Siyuan Shen, Jichen Chen, Guanfeng Yu, Zhengjun Zhai, Pujie Han
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Series:	Frontiers in Neurorobotics
Subjects:	Kalman Filter deep learning transformer Kalman Gain supervised paradigm
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2024.1460255/full
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