The invention provides a target feature-assisted multi-source data correlation method, aiming to provide a correlation method with high utilization rate of measurement parameters and capable of improving the correlation accuracy of a radar and electronic support measures (ESM). The target feature-assisted multi-source data correlation method is realized through the following technical scheme thataccording to the correlation between heterogeneous features, a correlation classification rule of heterogeneous sensor data is determined, a mapping correlation model of a target motion feature space,a target recognition feature space and a target type space is established, a category identification frame is established, K neighbors being at a distance from target features are found according toa K-K-nearest neighbor-NN rule, and trust assignment is constructed based on the distance between a target and the neighbors of the target, an acceptance threshold value and a rejection threshold value; the features of the target at each sampling time are obtained, and then BK-NN training is carried out on the target features at each t time, local static evidences at corresponding times of the categories are obtained and are integrated to generate a static criterion; and the comprehensive results of dynamic classification of different features are calculated, and the correlation filtering results are obtained.