Research on Multi-Sensor Task Planning Algorithms for Air Defense Operations

Multi-Sensor task planning is the key technology to improve the operational effectiveness of air defense. It is an important and difficult problem for air defense operations to synthetically utilize the complementary advantages of multiple sensors for cooperative detection and tracking. A multi-sensor task planning algorithm based on competitive co-evolution is proposed in this paper. Firstly, the model of air defense multisensor task planning is established; Secondly, based on the framework of competitive collaborative algorithm, a new coding method is designed, and strategies of crossover, mutation and conflict resolution are proposed; Finally, the rationality and efficiency of the model and algorithm are verified by simulation. The algorithm and model studied in this paper can provide technical support for future air defense operations.