Abstract:

In order to address the problems existing in dynamic jamming resource allocation, based on the jamming mechanism and tactical principles of miniature air-launched decoy (MALD), a dynamic allocation method of jamming resources for MALD to counter the netted radar system, which is more relevant to the battlefield and has better timeliness, is proposed. Firstly, a threat assessment method based on the ICRITIC variable weights theory is used to determine the dynamic threat matrix of the netted radars. Then, combined with the MALD’s active decoy jamming mode and based on the matching degree, the relevant indexes affecting the jamming effect are analyzed, and the jamming effectiveness matrix is constructed. Finally, the objective model of resource optimization is established based on the optimal jamming efficiency, and the improved particle swarm optimization algorithm is adopted to solve the resource optimization problem. The simulation results show that the proposed optimization method can achieve jamming resource allocation in a more rational way and better conforms to the actural operational situation of MALD. Compared with the traditional methods, the computational efficiency and the accuracy of the optimal solution have more remarkable advantages.

Key words: miniature air-launched decoy, dynamic allocation, variable weights theory, threat assessment, jamming effectiveness assessment, improved particle swarm optimization algorithm