多无人机协同干扰组网雷达的优化研究

Research on Optimization of Multi-UAV Cooperative Jamming Netted Radar

组网雷达系统具有较强的抗干扰能力,如何通过协同控制多无人机的飞行航迹,对敌方的组网雷达系统造成假目标欺骗,是当今对抗界关注的问题之一。本文以最优化理论为基础,研究了在实现固定假目标航迹干扰任务的前提下,多无人机对组网雷达协同干扰的调度策略问题。通过建立空间几何线性规划、多旅行商规划等模型,并利用蚁群算法和聚类法对模型进行求解,对无人机调度策略做出优化。最后通过应用实例:在多架无人机面对5个雷达生成20个虚假航迹点的条件下,求解无人机最小数量,确定其调度策略,验证了该模型的可行性和应用性。相比产生多条无规律的虚假航迹,通过无人机编队协作产生一条确定的假目标航迹,能够对敌方产生更有效的欺骗干扰,从而达到保护系统免于被敌方组网雷达检测的目的。

The netted radar system has strong anti-interference ability. How to control the flight path ofunmannedaerial vehicles(UAVs) to deceive the hostile netted radar system is one of the problems concerned byelectronic countermeasure(ECM). Based on the optimization theory, the scheduling strategies of UAVswere studied to collaboratively interfere the netted radar, under the premise of accomplishing theinterference task and generating the given false target. Through the establishment of spatial geometric linear programming, multi-traveler salesman programming(TSP) model, and the application of ant colony algorithm(ACO) and the method of clustering, the UAV scheduling strategy was optimized. Finally, an application example illustrateed the feasibility and applicability of the model. Compared with generating many irregular false target with flight path signature, a precise track generated by UAVs’ cooperation can spoof the enemy more effectively, thus the purpose of protecting the information from being detected can be better achieved by the hostile netted radar.