A GNSS Anti-Jamming Method in Multi-UAV Cooperative System
Jianwei Zhou, Wenjie Wang, Chenhao Zhang · IEEE Transactions on Vehicular Technology · 2025
Unmanned aerial vehicles (UAVs) have been extensively utilized in both military and civilian domains due to their flexible flight capabilities and adaptability to complex terrains. However, in challenging environments such as forests, urban areas, and hostile settings with intentional jamming, Global Navigation Satellite System (GNSS) signals often suffer from severe attenuation, jamming, and multipath effects, leading to significant degradation or even failure of UAV positioning performance. In particular, we consider multijamming environments, in which multiple spatially dispersed jammers operate simultaneously, further complicating signal reception. To address these issues, this paper proposes a novel GNSS anti-jamming and hybrid positioning technique based on multi-UAV cooperation. The proposed method adopts a frequency-converting cooperative framework, integrating spatial anti-jamming techniques at the signal level with cooperative hybrid positioning algorithms at the data level. Specifically, a frequency-domain orthogonal subspace interference cancellation anti-jamming algorithm is developed, along with a least squares hybrid cooperative positioning method, to fully exploit the multi-node characteristics of the cooperative system, thereby improving spatial degrees of freedom and overall positioning performance. Simulation results demonstrate that the proposed method significantly enhances the reliability and accuracy of GNSS positioning in multi-jamming environments.