Anti-Jamming UAV Relaying Based on Joint Geographic-Electromagnetic Domain Optimization

Abstract

The relay function of unmanned aerial vehicles (UAVs) is playing an increasingly important role in wireless communication systems, as UAVs often perform tasks at high altitudes and can avoid the impact of ground obstructions on the communication links between ground communication devices, thereby enhancing the reliability and communication capacity of the links. Meanwhile, UAVs have more degrees of freedom and can achieve optimal position deployment and robust anti-jamming performance through flexible adjustment of spatial position. However, the premise for UAVs to achieve the above advantages is accurate modeling and analysis of the wireless communication channel, as well as the deployment of reasonable joint geographic-electromagnetic domain optimization (JGEDO) algorithms to fully utilize their own degrees of freedom. Due to the increasing threat posed by the current electronic warfare environment to the normal communication of UAVs, this article focuses on environments with malicious jamming and geographic obstacles, and constructs a communication system composed of a base station (BS), a relay UAV, and several remote ground robots (RGRs). On the basis of considering multipath fading and estimation error of jammer position, the expected value of instantaneous average signal-to-interference-ratio (SIR) for the entire system is derived. Taking this indicator as the optimization objective, this article develops a joint optimization algorithm for the position of the UAV and the mainlobe width of UAV antenna beams. Numerical simulation verifies the effectiveness of this algorithm compared to traditional algorithms.

Keywords

• UAV relay
• SIR
• multipath fading
• mainlobe width