Abstract: Target-tracking association of sonar is a comprehensive processing technique, which can achieve more accurate state and attribute estimation and more complete real-time situation and threat assessment than the single information source through smartly combining the multi-source information of targets. In this paper, the multiple sensors based fuzzy correlation algorithm is proposed on the similarity of different observations of the same target. The method is used to process uncertain information for finding the difference between illegible targets, and the correlation value of the target orientations within the correlation time is calculated by blurring the target orientation data based on the fuzzy set definition of observation data and the fuzzy membership function. The validity of the above algorithm is verified by simulation analysis, and good experimental results are obtained.