Multi-missile interception for multi-targets: Dynamic situation assessment, target allocation and cooperative interception in groups

Target allocation is a crucial point in the cooperative interception process. In this paper, a new algorithm of dynamic situation assessment, target allocation and cooperative interception in groups is proposed for multi-target interception with multiple missiles. An effective situation assessment function is proposed, according to which the targets of each intercepting missile are assigned to maximize their efficiency. The new situation assessment function evaluates the flight status and cooperation of missiles, which considers not only the relative position and velocity mentioned in traditional functions, but also relative normal velocity, normal acceleration, maneuverability and cooperation between multiple missiles. During the interception process, the flight status could be evaluated dynamically, thus the allocation of the missiles could be real-time adjusted. To optimize target allocation, a method based on genetic algorithm is applied, which uses the dynamic situation assessment function based proportional navigation guidance law, and we also use proportional navigation guidance law to realize the interception to maneuvering targets with multiple missiles. Simulations for target allocation and target interception validate the effectiveness of the algorithm. Potential adjustments and improvements are proposed according to the simulation results.