In order to improve the intelligent level of electronic countermeasures, in view of the current situation of modern radars with flexible and changeable transmission signals, this paper starts with the intelligent optimization of jamming waveforms under one-to-one conditions, and adds optimization modules on the basis of traditional jamming equipment. The particle swarm algorithm is introduced to establish an intelligent optimization model of jamming waveforms. Using the proposed model, simulation experiments are carried out to optimize the jamming effect of frequency-phase mixed modulation jamming under the condition of cover jamming. The results of the Monte Carlo simulation experiment show that when the radar uses chirp signals with different parameters, the model can achieve a certain optimization effect, so that the dense false targets generated by the jamming signal are distributed more evenly.