The invention relates to a multi-source data fusion method for a low-speed small target detection system, and belongs to the technical field of radar information detection. The multi-source data fusion method includes six implementation steps, aiming at low, slow and small target track characteristics, calculates the single-source track quality data in real time, distributes a fusion weight in a self-adaptive manner according to the track quality data, is high in adaptability to complex and changing environment backgrounds, can utilize multi-radar cooperative detection to the maximum extent, can bring the advantages of multi-sensor networking detection into full play, can effectively improve the detection precision and the detection stability of low, slow and small target tracks, can savenetworking resources, and can improve the environment adaptability of the multi-source information fusion method. The multi-source data fusion method solves the problems that a weighted average fusionmethod is adopted in an existing multi-sensor multi-source information fusion method, and initially gives a weight coefficient, so that the method is difficult to adapt to the influence of environmental interference in low, slow and small target detection, and the fusion result precision is not high due to unreasonable setting of the weight coefficient, and networking resources are wasted.