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Generalizing the unscented Kalman filter for state...
Conference

Generalizing the unscented Kalman filter for state estimation

Abstract

The recent generalized unscented transform (GenUT) is formulated into a recursive Kalman filter framework. The GenUT constrains 2n + 1 sigma points and their weights to match the first four statistical moments of a probability distribution. The GenUT integrates well into the unscented Kalman filter framework, creating what we call the generalized unscented Kalman filter (GUKF). The measurement update equations for the skewness and kurtosis are …

Authors

Butler Q; Hilal W; Sicard B; Ziada Y; Gadsden SA

Volume

12547

Publisher

SPIE, the international society for optics and photonics

Publication Date

June 14, 2023

DOI

10.1117/12.2664227

Name of conference

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII

Conference proceedings

Proceedings of SPIE--the International Society for Optical Engineering

ISSN

0277-786X