Design of Nonlinear Autoregressive Exogenous Model Based Intelligence Computing for Efficient State Estimation of Underwater Passive Target

Design of Nonlinear Autoregressive Exogenous Model Based Intelligence Computing for Efficient State Estimation of Underwater Passive Target

In this study, an intelligent computing paradigm built on a nonlinear autoregressive exogenous (NARX) feedback neural network model with the strength of deep learning is presented for accurate state estimation of an underwater passive target. In underwater scenarios, real-time motion parameters of p...

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Bibliographic Details
Main Authors: Wasiq Ali, Wasim Ullah Khan, Muhammad Asif Zahoor Raja, Yigang He, Yaan Li
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Entropy
Subjects:
nonlinear autoregressive with exogenous input (NARX)
state estimation
artificial neural network
measurement noise
nonlinear filtering
intelligent computing
Online Access:https://www.mdpi.com/1099-4300/23/5/550

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https://www.mdpi.com/1099-4300/23/5/550

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