@inproceedings{de95a197e74649988669d1dea4cb1d96,
title = "Multi-UAV Cooperation for Anti-jamming Communication",
abstract = "To address the damage of suppression jamming on communication between UAVs and ground stations, We propose an anti-jamming method based on the artificial potential field(APF) method with multi-UAVs cooperation to improve the quality of communication. In this paper, first of all, we use the received signal strength (RSSI) and the signal-to-intensity ratio (SINR) to jointly construct the communication potential field on the cluster flight trajectory and the local communication potential field at the cluster location, under the assumption of stable communication signals within the cluster. Next, we estimate the direction of the unknown interference source relative to the cluster's location according to the communication potential field. and finally, we establish the repulsive field of the jamming source as well as the attractive field of the target point. Then we use the artificial potential field algorithm to plan a trajectory with high communication quality for the cluster. The simulation shows that the method can reduce the communication loss between UAV and ground station under the communication interference environment.",
keywords = "apf, cluster robust control, rssi, sinr, suppression jamming",
author = "Haoming Wei and Shizhong Li and Zhijun Liu and Zhengjie Wang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Unmanned Systems, ICUS 2022 ; Conference date: 28-10-2022 Through 30-10-2022",
year = "2022",
doi = "10.1109/ICUS55513.2022.9987103",
language = "English",
series = "Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1035--1040",
editor = "Rong Song",
booktitle = "Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022",
address = "United States",
}