ADS-B Ground Station Site Selection Analysis Based on Intelligent Algorithm

摘要

In order to improve the safety level, airspace capacity, operation efficiency and service ability of civil aviation, particle swarm optimization (PSO), genetic algorithm (GA) and hybrid genetic particle swarm optimization are simulated and applied in ADS-B ground station selection. The algorithm flow, advantages and disadvantages of PSO and GA are analyzed. In order to make up for the limitations of the above algorithms, the hybrid genetic particle swarm optimization algorithm is proposed for ADS-B site selection. Through virtual site selection, GA, PSO and hybrid genetic particle swarm optimization algorithm are respectively used for simulation. Comparing with the results of site selection, it is verified that genetic particle swarm optimization algorithm is more suitable for the site selection of ground station.