Kalman Filtering With Delayed Measurements in Non-Gaussian Environments

Kalman Filtering With Delayed Measurements in Non-Gaussian Environments

Traditionally, Kalman filter (KF) is designed with the assumptions of non-delayed measurements and additive white Gaussian noises. However, practical problems often fail to satisfy these assumptions and the conventional Kalman filter suffers from poor estimation accuracy. This paper proposes a modif...

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Bibliographic Details
Main Authors: Sumanta Kumar Nanda, Guddu Kumar, Vimal Bhatia, Abhinoy Kumar Singh
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Kalman filter
non-Gaussian noises
delayed measurement
maximum correntropy criterion
Online Access:https://ieeexplore.ieee.org/document/9522105/

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