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A Novel Sensor Scheduling Algorithm Based on Deep Reinforcement Learning for Bearing-Only Target Tracking in UWSNs

Linyao Zheng Meiqin Liu Senlin Zhang Jian Lan

自动化学报（英文版）2023，Vol.10Issue(4)：1077-1079,3.

自动化学报（英文版）2023，Vol.10Issue(4)：1077-1079,3.DOI:10.1109/JAS.2023.123159

A Novel Sensor Scheduling Algorithm Based on Deep Reinforcement Learning for Bearing-Only Target Tracking in UWSNs

Linyao Zheng ¹Meiqin Liu ²Senlin Zhang ³Jian Lan¹

作者信息

1. Institute of Artificial Intelligence and Robotics,Xi'an Jiaotong University,Xi'an 710049,China
2. Institute of Artificial Intelligence and Robotics,Xi'an Jiaotong University,Xi'an 710049,and also with the State Key Laboratory of Industrial Control Technology,Zhejiang University,Hangzhou 310027,China
3. College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China
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摘要

引用本文复制引用

Linyao Zheng,Meiqin Liu,Senlin Zhang,Jian Lan..A Novel Sensor Scheduling Algorithm Based on Deep Reinforcement Learning for Bearing-Only Target Tracking in UWSNs[J].自动化学报（英文版）,2023,10(4):1077-1079,3.

基金项目

This work was supported by the National Nat-ural Science Foundation of China(62173299,U1809202),the Joint Fund of Ministry of Education for Pre-Research of Equipment(8091B022147),and the Fundamental Research Funds for the Cen-tral Universities(072022001). （62173299,U1809202）

自动化学报（英文版）

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