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An Anti-Interference Scheme for UAV Data Links in Air-Ground Integrated Vehicular Networks
Yixin He1, Daosen Zhai2, Ruonan Zhang3
1Department of Communication Engineering, Northwestern Polytechnical University, Xi'an 710072, China. jhlhhyx@mail.nwpu.edu.cn.
Sensors (Basel, Switzerland)
|November 6, 2019
Summary
This study introduces Mary-MCM, an anti-interference scheme for Unmanned Aerial Vehicle (UAV) data links in Air-Ground Integrated Vehicular Networks (AGIVNs). The novel method enhances communication quality by mitigating complex electromagnetic interference (EMI).
Area of Science:
- Electrical Engineering
- Computer Science
- Communications Engineering
Background:
- Vehicular ad-hoc networks (VANETs) are crucial for intelligent transportation systems (ITS).
- Air-ground integrated vehicular networks (AGIVNs) using unmanned aerial vehicles (UAVs) offer superior coverage and flexibility over traditional VANETs.
- Electromagnetic interference (EMI) significantly degrades the performance of UAV sensors in AGIVNs.
Purpose of the Study:
- To design an efficient anti-interference scheme for UAV data links within AGIVNs.
- To address the challenge of severe communication degradation caused by complex EMI in AGIVNs.
Main Methods:
- Proposed an anti-interference scheme named Mary-MCM for UAV data links in AGIVNs.
- Employed multi-ary (M-ary) spread spectrum to disperse interference power and enhance the signal spectrum.
- Integrated multi-carrier modulation (MCM) and multiple-input multiple-output (MIMO) technologies for improved spectrum utilization and system performance.
Main Results:
- The Mary-MCM scheme effectively disperses interference power, enhancing the anti-interference capability of AGIVNs.
- MCM and MIMO technologies contribute to improved spectrum utilization while maintaining system performance.
- Simulation results confirm excellent anti-interference performance of Mary-MCM under various EMI combinations.
Conclusions:
- Mary-MCM provides a robust solution for mitigating EMI in UAV data links within AGIVNs.
- The proposed scheme significantly improves communication quality and reliability in challenging electromagnetic environments.
- This research contributes to the advancement of intelligent transportation systems through enhanced UAV communication.
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