Anti-interference of Wireless Communication Signals Based on Integrated Sensing and Communication

Authors

  • Tailong Li

DOI:

https://doi.org/10.54097/x65mh024

Keywords:

Wireless communication, UAV,Anti-interference.

Abstract

Wireless communication for UAVs is becoming increasingly important with its development. However, because wireless communication relies too much on the openness of wireless channels and environments, there is a problem of low anti-interference. Therefore, this article aims to analyze previous research on using integrated sensing and communication methods to eliminate self-interference and to improve the anti-interference ability of UAV wireless communications. Combining integrated sensing and communication technology and combining it with orthogonal frequency division multiplexing technology can suppress self-interference signals, thereby improving the UAV signal quality and the UAV's anti-interference capability. The research results show that after obtaining the three-dimensional radar simulation, it is concluded that when the distance between the perceived targets is large, the influence of self-interference signals can be effectively eliminated; however, when the distance between the perceived targets is small, only part of the self-interference signals can be eliminated. Applying Integrated Sensing and Communication to wireless communication between drones in the air can effectively alleviate the limitations of Integrated Sensing and Communication on the ground; combining Integrated Sensing and Communication with orthogonal frequency division multiplexing can be more effective in eliminating inter-symbol interference and inter-carrier interference.

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References

Boyang Li, Yang Liu, Nuotian Wan, etc. UAV electromagnetic interference sensing and anti-interference transmission method based on reinforcement learning [J]. Telecommunications technology,2023,63(12):1855-1861.DOI:10.20079/j.issn.1001-893x.230401001.

Rui Jin, Hai Jin, Songnan Mo. Research on large dual-rotor UAV based on fuzzy PID [J/OL]. Electronic Technology:1-8[2024-02-21].https://doi.org/10.16180/j.cnki.issn1007-7820.2024.08.008.

Changhua Yao, Gang Wu, Jiaqiang Li, etc. Multi-UAV communication collaborative anti-interference decision-making method for heterogeneous transmission requirements [J/OL]. Telecommunications Technology:1-14[2024-03-13].https://doi.org/10.20079/j.issn.1001-893x.231029001.

Boyang Li, Yang Liu, Nuotian Wan, etc. UAV electromagnetic interference sensing and anti-interference transmission method based on reinforcement learning [J]. Telecommunications Technology,2023,63(12):1855-1861.DOI:10.20079/j.issn.1001-893x.230401001.

Zhijuan Wu, Yan Lin, Yijin Zhang, et al. Multi-domain energy-saving and anti-interference communication for UAV clusters based on multi-agent collaboration [J]. Science in China: Information Science,2023,53(12):2511-2526.

Chen L, Pan J, Zhang J, Cheng J, Xu L, Ye N. FDSS-Based DFT-s-OFDM for 6G Wireless Sensing. Sensors (Basel). 2023 Jan 29;23(3):1495. doi: 10.3390/s23031495. PMID: 36772534; PMCID: PMC9920488.

Geng Zhao, Rui Wu, Yingjie Ma. OFDM-based wireless communication electromagnetic noise suppression method [J/OL]. Computer Science:1-10[2024-02-21].http://kns.cnki.net/kcms/detail/50.1075.TP.20221020.0959.018.html.

Lianyi Li, Xianbin Yu, Lu Zhang. Joint performance optimization of terahertz communication sensing integrated system based on multi-carrier modulation[J/OL]. Radio communication technology:1-8[2024-02-21].http://kns.cnki.net/kcms/detail/13.1099.TN.20231226.1345.004.html.

Qibin Ye, Hongyu Xiao, Chen Tian, et al. Self-interference elimination technology for integrated communication and sensing systems for UAVs [J/OL]. Journal of Southwest Jiaotong University:1-8[2024-02-21].http://kns.cnki.net/kcms/detail/51.1277.U.20240117.1749.004.html.

Moxuan Han, Taixia Shi, Sunan Zhang, et al. Low-complexity digital-assisted nonlinear self-interference optical domain simulation elimination [J/OL]. Journal of Optics:1-16[2024-02-21]. http://kns.cnki.net/kcms/detail/31.1252.O4.20231114.1402.074.html.

Fan Lu, Zhanchun Fan, Chao Ma, et al. Suppression method for simultaneous same-frequency full-duplex digital domain self-interference based on Bi-LSTM [J/OL]. Chinese Science: Information Science:1-12[2024-02-21]. http://kns.cnki.net/kcms/detail/11.5846.TP.20231013.1641.004.html.

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Published

30-06-2024

How to Cite

Li, T. (2024). Anti-interference of Wireless Communication Signals Based on Integrated Sensing and Communication. Highlights in Science, Engineering and Technology, 105, 18-23. https://doi.org/10.54097/x65mh024