An Intelligent Range Gate Pull-off (RGPO) Jamming Method

摘要

In this paper, considering a range gate pull-off (RGPO) jamming for self-defense jamming, an optimal multiframe RGPO jamming strategy is investigated with unknown environment model. The optimal RGPO jamming strategy problem is solved by proposing a multi-frame RGPO jamming strategy optimization method based on black-box optimization technique. Firstly, we construct a multi-frame optimization model of RGPO jamming strategy by choosing the success rate of pull-off as the objective function. Then, to improve the jamming performance, a particle swarm optimization(PSO) algorithm based on Monte Carlo prediction fitness function(MC-PSO) is proposed. Finally, numerical simulation results are provided to verify the validity of the proposed method.