执行飞行作战任务前对飞行航路进行合理规划十分重要, 而环境/威胁建模是航路规划需要解决的首要问题。根据飞行过程中可能遇到的各种威胁源的特点, 建立了山体障碍、恶劣气候及导弹、高炮固定阵地等各种静态威胁源的威胁概率函数模型, 并进一步构建了机动导弹、高炮等动态威胁源的威胁概率函数模型; 针对粒子群算法全局搜索能力强、收敛性好的特点, 将粒子群算法运用到航路规划中, 并进行了仿真实验, 仿真结果证明了模型及算法的有效性。

The reasonable route planning is very important for a fighter aircraft before it executes a combat task, and modeling of environment/threat is critical for the route planning. Based on the features of various threats that may be met during the flight, the models of threat probability function were built up for such threats as mountain, bad weather, immobile threats of missile and artillery bases．Then the models of threat probability function for such dynamic threats as mobile missile/artillery were also constructed．Particle swarm optimization was used in the route planning considering that it has fine global search and good convergence capability. Simulation was carried out, and the result proved the effectiveness of the models and the algorithm.