Application of Gaussian Mixtures in a Multimodal Kalman Filter to Estimate the State of a Nonlinearly Moving System Using Sparse Inaccurate Measurements in a Cellular Radio Network

Application of Gaussian Mixtures in a Multimodal Kalman Filter to Estimate the State of a Nonlinearly Moving System Using Sparse Inaccurate Measurements in a Cellular Radio Network

Kalman filter is a well-established accuracy correction method in control, guidance, and navigation. With the popularity of mobile communication and ICT, Kalman Filter has been used in many new applications related to positioning based on spatiotemporal data from the cellular network. Despite the lo...

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Bibliographic Details
Main Authors:	Artjom Lind, Shan Wu, Amnir Hadachi
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Sensors
Subjects:	Kalman filter Gaussian mixture model cellular network geolocation synthetic data generation
Online Access:	https://www.mdpi.com/1424-8220/23/7/3603

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