A One-way Prediction Based Joint Self-localization and Synchronization Algorithm for Mobile Underwater Acoustic Asynchronous Networks

GAO Jingjie; WANG Wei; CHEN Peng; SHEN Xiaohong

doi:10.11999/JEIT211363

Volume 44 Issue 6

Jun. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(6): 2054-2060

GAO Jingjie, WANG Wei, CHEN Peng, SHEN Xiaohong. A One-way Prediction Based Joint Self-localization and Synchronization Algorithm for Mobile Underwater Acoustic Asynchronous Networks[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2054-2060. doi: 10.11999/JEIT211363

Citation:

GAO Jingjie, WANG Wei, CHEN Peng, SHEN Xiaohong. A One-way Prediction Based Joint Self-localization and Synchronization Algorithm for Mobile Underwater Acoustic Asynchronous Networks[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2054-2060. doi: 10.11999/JEIT211363

Citation:

GAO Jingjie, WANG Wei, CHEN Peng, SHEN Xiaohong. A One-way Prediction Based Joint Self-localization and Synchronization Algorithm for Mobile Underwater Acoustic Asynchronous Networks[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2054-2060. doi: 10.11999/JEIT211363

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A One-way Prediction Based Joint Self-localization and Synchronization Algorithm for Mobile Underwater Acoustic Asynchronous Networks

doi: 10.11999/JEIT211363

1.
School of Information Engineering, Chang'an University, Xi’an 710064, China
2.
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China

Funds: The National Natural Science Foundation of China (61901057, 61871059), The Key R & D Projects in Shaanxi Province (2021KWZ-08)

Received Date: 2021-11-30
Rev Recd Date: 2022-03-30

Available Online: 2022-04-14

Publish Date: 2022-06-21

Abstract

Abstract

In order to solve the problems of low time synchronization and positioning accuracy for Mobile Underwater Acoustic Asynchronous Networks(MUAANs)caused by nodes movement and long communication time delay, a one-way prediction based joint self-localization and synchronization algorithm is proposed. In this algorithm, each mobile node’s position and time synchronization can be predicted simultaneously by constructing a joint state model and observation model. Meanwhile, the one-way communication is used between each node in the network which can solve the problem of changed communication time delay when nodes are moving at different time and improve the accuracy and time efficiency of self-localization and time synchronization. Simulation results show that the proposed algorithm can predict the mobile node’s position and time synchronization jointly and increase the accuracy and time efficiency of self-localization and time synchronization simultaneously which is more suitable for underwater environment.
- Mobile Underwater Acoustic Asynchronous Networks (MUAANs),
- Self-localization,
- Time synchronization,
- Joint,
- Prediction

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References(15)

References

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