Joint Trajectory Design for Unmanned Marine Cluster

HU Yulin; WU Peng; YUAN Xiaopeng; LI Bo; JIANG Hao; LUO Wei

doi:10.11999/JEIT211305

Volume 44 Issue 3

Mar. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(3): 890-898

HU Yulin, WU Peng, YUAN Xiaopeng, LI Bo, JIANG Hao, LUO Wei. Joint Trajectory Design for Unmanned Marine Cluster[J]. Journal of Electronics & Information Technology, 2022, 44(3): 890-898. doi: 10.11999/JEIT211305

Citation:

HU Yulin, WU Peng, YUAN Xiaopeng, LI Bo, JIANG Hao, LUO Wei. Joint Trajectory Design for Unmanned Marine Cluster[J]. Journal of Electronics & Information Technology, 2022, 44(3): 890-898. doi: 10.11999/JEIT211305

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Joint Trajectory Design for Unmanned Marine Cluster

doi: 10.11999/JEIT211305

HU Yulin^{1
,
,},
WU Peng¹,
YUAN Xiaopeng¹,
LI Bo²,
JIANG Hao¹,
LUO Wei³

1.
Electronic and Information School, Wuhan University, Wuhan 430072, China
2.
School of Information Science and Engineering, Harbin Institute of Technology(WH), Weihai 264209, China
3.
China Ship Development and Design Center, Wuhan 430000, China

Funds: The National Natural Science Foundation of China (62101389)

Received Date: 2021-11-21
Accepted Date: 2022-02-19
Rev Recd Date: 2022-02-11

Available Online: 2022-02-28

Publish Date: 2022-03-28

Abstract

Abstract

Considering an ocean data collection scenario, to improve data collection efficiency, this paper proposes a joint data collection approach for UAVs and platform. The platform releases UAVs to collect the data and sails to the designated places to recover them, while the UAVs are responsible for the data collection task. To minimize the overall working time of the UAVs and the platform, this paper introduces the Successive-Hover-and-Fly (SHF) structure to achieve a low-complexity joint trajectory optimization on basis of task allocation of the UAV cluster. The formulated problem is difficult to be solved due to the non-convexity, which is constrained by the demanded upload data amount and a maximum UAV speed. To address this problem, an efficient successive convex approximation technique iterative algorithm is proposed to obtain a sub-optimal solution, which is validated by simulation.
- Wireless communication,
- Trajectory optimization,
- Task allocation,
- Convex approximation

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References(17)

References

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