Radar Jamming Strategy Allocation Algorithm based on Improved Chaos Genetic Algorithm

Aiming at the problem of how effectively interfere with multiple radars and improve the utilization efficiency of the jammers, this paper studies the evaluation criteria for the selection of jamming effect evaluation index. According to the evaluation criteria, the radar detection probability is selected as the index function to evaluate the jamming effect. The improved chaos genetic algorithm is applied to the allocation of interference strategy. This method solves the problems of traversing to find the optimal allocation of interference strategy, unable to adapt to the allocation of many-to-many interference and the large calculation compared with the allocation of one-to-many strategy. The simulation results show that this method not only improves the convergence, but also the convergence speed and the utilization efficiency of the jammer.