为提高民航安全水平、空域容量、运行效率和服务能力,提出基于自适应遗传算法的基站选址优化方法.总结广播式自动相关监视(ADS-B)基站组网的意义、原则和评价指标.仿真ADS-B天线辐射特性,计算基站安全间隔.建立基站选址优化的数学模型,给出自适应遗传算法的求解步骤,采用实数编码和最优保存策略,实现ADS-B基站优化布站.实验结果表明,该方法优于基本遗传算法,能有效地指导寻优,提高组网优化效率,为后期基站的组网提供参考.

To improve the level of civil aviation security,the airspace capacity,operation efficiency and service ability,we put forward an optimal method for base station embattling based on Adaptive Genetic Algorithm(AGA).The significance,principles and evaluation index of Automatic Dependent Surveillance-Broadcast (ADS-B) base station networking are summarized.The ADS-B antenna radiation characteristics are studied through simulation,and the safety interval between base stations is calculated out.Then a mathematical optimization model for selecting base station site is built up and the solution procedures and steps of AGA are given.By using real-number coding and optimal preservation strategy,the optimal embattling of ADS-B base station is achieved.Experimental results show that the method,which is better than the basic GA,can effectively guide the optimization,improve the efficiency of network optimization and provide a reference for the later period of the base station networking.