Multisensor Estimation Fusion with Gaussian Process for Nonlinear Dynamic Systems

Multisensor Estimation Fusion with Gaussian Process for Nonlinear Dynamic Systems

The Gaussian process is gaining increasing importance in different areas such as signal processing, machine learning, robotics, control and aerospace and electronic systems, since it can represent unknown system functions by posterior probability. This paper investigates multisensor fusion in the se...

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Bibliographic Details
Main Authors: Yiwei Liao, Jiangqiong Xie, Zhiguo Wang, Xiaojing Shen
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Entropy
Subjects:
multisensor estimation fusion
gaussian process
nonlinear dynamic systems
data driven modeling
target tracking
information fusion
Online Access:https://www.mdpi.com/1099-4300/21/11/1126

Internet

https://www.mdpi.com/1099-4300/21/11/1126

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