飞行器低空突防中的威胁航线优化技术研究

低空突防中的威胁回避技术是TF／TA^2系统的核心，直接关系到低空突防飞行器的任务生存能力。针对威胁回避的特殊要求，本文提出了一种基于地形可视性分析的威胁危险指标快速计算方法，解决了威胁的量化问题。针对在大范围任务区域内进行威胁航线优化存在计算复杂性和收敛性等问题，本文尝试采用遗传算法对威胁进行优化处理。该方法得到的威胁航线，严格经过出发点和目标点，且尽量远离威胁，有效提高了飞行器低空突防的任务生存率。

Study on Threat Route Optimization Technique in Low Altitude Penetration

The threat avoidance technique is the key to integrated TF/TA 2 system,and makes an essential role in increasing the aircraft's survival probability and total mission effectiveness in the flight mission.For the special requirement of threat avoidance,this paper presents a fast method based on terrain visibility index to calculate danger index of each terrain grid,which solve the quantity problem of threat information on the digital map grid.Allowing for these problems that route planning in a large scale mission area using dynamic programming usually requires excessive execution time and processor memory,and the gradient method usually obtains the local instead of global optimization due to the complexity of terrain surface,a genetic algorithm is adopted to do the threat route planning.Simulation results show that the optimal trajectory can minimize the threat danger in the threat environment and pass precisely the start and target point,can enhance effectively the aircraft's survival probability.