With the continuous development of infrared interference means, its more and more important to establish a set of scientific, reasonable and concise infrared anti-interference evaluation index system. Aimed at the problems that redundant phenomenon is in existence in infrared antiinterference evaluation index system and there is lacking in rationality, firstly, the evaluation index system of infrared antijamming is constructed from the inherent performance index, antijamming performance index and missile tactical performance index, and then through the infrared anti-interference experiment simulation platform, set up corresponding disturbance variable is set up, huge amounts of data preprocessing are obtained. Next, the FPGrowth algorithm in data mining is used to mine and analyze the antiinterference experimental simulation data, and the association rules between disturbance variable and indexes are obtained. Finally, the index system is simplified through the strength of these association rules. As a result, the redundant items are removed for the index contracted and the core indexes are in existence.