Volume 31 Issue 3
May  2022
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WU Guangyu and GU Jiangchun, “Remote Interference Source Localization: A Multi-UAV-Based Cooperative Framework,” Chinese Journal of Electronics, vol. 31, no. 3, pp. 442-455, 2022, doi: 10.1049/cje.2021.00.310
Citation: WU Guangyu and GU Jiangchun, “Remote Interference Source Localization: A Multi-UAV-Based Cooperative Framework,” Chinese Journal of Electronics, vol. 31, no. 3, pp. 442-455, 2022, doi: 10.1049/cje.2021.00.310

Remote Interference Source Localization: A Multi-UAV-Based Cooperative Framework

doi: 10.1049/cje.2021.00.310
Funds:  This work was supported by the National Key Scientific Instrument and Equipment Development Project (61827801).
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  • Author Bio:

    is currently pursuing the M.S. degree with the Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China. He received the B.S. degree with the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include machine learning, mobile computing, and the Internet of things. (Email: gywu@mail.ustc.edu.cn)

    (corresponding author) received the B.S. degree in electronic and information engineering from Xidian University, Xi’an, China, in 2018, and the M.S. degree in information and communication engineering from the College of Communications Engineering, Army Engineering University of PLA, Nanjing, China, in 2020, where he is currently pursuing the Ph.D. degree. His research interests include UAV communications, convex optimization techniques, and reinforcement learning. (Email: gujiangchungjc@sina.com)

  • Received Date: 2021-08-29
  • Accepted Date: 2022-02-10
  • Available Online: 2022-03-05
  • Publish Date: 2022-05-05
  • Interference source localization with high accuracy and time efficiency is of crucial importance for protecting spectrum resources. Due to the flexibility of unmanned aerial vehicles (UAVs), exploiting UAVs to locate the interference source has attracted intensive research interests. The off-the-shelf UAV-based interference source localization schemes locate the interference sources by employing the UAV to keep searching until it arrives at the target. This obviously degrades time efficiency of localization. To balance the accuracy and the efficiency of searching and localization, this paper proposes a multi-UAV-based cooperative framework alone with its detailed scheme, where search and remote localization are iteratively performed with a swarm of UAVs. For searching, a low-complexity Q-learning algorithm is proposed to decide the direction of flight in every time interval for each UAV. In the following remote localization phase, a fast Fourier transformation based location prediction algorithm is proposed to estimate the location of the interference source by fusing the searching result of different UAVs in different time intervals. Numerical results reveal that in the proposed scheme outperforms the state-of-the-art schemes, in terms of the accuracy, the robustness and time efficiency of localization.
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