In view of the problem of intelligent jamming decisionmaking in battlefield communication, an action elimination dueling double deep Q network intelligent jamming decision algorithm is designed. Based on the framework of double deep Q network, this algorithm utilizes a neural network with a dueling structure for determining the optimal jamming action in combination with the advantage function to judge the relative pros and cons of each jamming action. And then on the basis of the above mentioned, an invalid jamming action elimination mechanism is introduced to speed up the learning of the best jamming strategy. The method can learn a better jamming strategy in the face of an unknown communication antijamming strategy. The simulation results show that when the enemy changes communication strategy, the method can adaptively adjust the jamming strategy and have stronger robustness. Compared with the existing methods, this method can achieve a higher jamming success rate with greater jamming efficacy.