State Estimation of an Underwater Markov Chain Maneuvering Target Using Intelligent Computing

State Estimation of an Underwater Markov Chain Maneuvering Target Using Intelligent Computing

In this study, an application of deep learning-based neural computing is proposed for efficient real-time state estimation of the Markov chain underwater maneuvering object. The designed intelligent strategy is exploiting the strength of nonlinear autoregressive with an exogenous input (NARX) networ...

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Bibliographic Details
Main Authors: Wasiq Ali, Yaan Li, Muhammad Asif Zahoor Raja, Wasim Ullah Khan, Yigang He
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Entropy
Subjects:
neural computing
state estimation
Markov chain
turning trajectory
bearings only tracking
maneuvering object
Online Access:https://www.mdpi.com/1099-4300/23/9/1124

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