KEYWORDS: Receivers, Antennas, Monte Carlo methods, Systems modeling, Radio propagation, Signal detection, Wave propagation interference, Wave propagation, Navigation systems, Spectral density
With the rapid advancement of 5G technology, the coexistence of radio altimeters and 5G systems has become increasingly significant. This study aims to investigate the impact of different flight altitudes and horizontal isolation distances on system performance in urban and rural areas, by simulating the aggregate interference of ground base stations. The simulation results reveal that there exists a compatibility issue between the 5G system and radio altimeters in the 4400-4500MHz band only if the aircraft altitude is 50m or less and the horizontal separation distance is less than 10m in urban environments and less than 6m in rural environments. Nevertheless, the levels of interference can be disregarded as they do not pose a significant threat in practical applications. These results provide valuable practical insights for the implementation of 5G technology in the aviation industry.
To address the problem that the number of UAVs is increasing dramatically and the collision risk is increasing dramatically, autonomous collision avoidance and collision avoidance path optimization for conflict risk among multiple UAVs by using genetic algorithms. Under the performance constraints of UAVs, genetic algorithm can realize autonomous collision avoidance of multiple UAVs by using adaptive crossover probability and adaptive mutation probability, and an adaptation function based on the shortest collision avoidance path length and the lowest collision risk. The results of the three-UAVs collision avoidance simulation show that the genetic algorithm can prevent the occurrence of chain collisions while solving the current flight conflict problem and guarantee the safety of UAV flight.
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