Regularized Optimal Transport Based on an Adaptive Adjustment Method for Selecting the Scaling Parameters of Unscented Kalman Filters

In this paper, an adaptation method for adjusting the scaling parameters of an unscented Kalman filter (UKF) is proposed to improve the estimation performance of the filter in dynamic conditions. The proposed adaptation method is based on a sequential algorithm that selects the scaling parameter usi...

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Bibliografiske detaljer

Principais autores:	Chang Ho Kang, Sun Young Kim
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2022-02-01
Serier:	Sensors
Fag:	regularized optimal transport (ROT) scaling parameter adaptation Sinkhorn–Knopp algorithm unscented Kalman filter (UKF) stability analysis on UKF
Online adgang:	https://www.mdpi.com/1424-8220/22/3/1257
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