Nowadays, most positioning sys-tems carry out locational calculation based on the accurate location information of some de-vices in the network. However there is a devi-ation in the locational information of the part of the device, we need to reduce it in order to obtain higher positioning accuracy. In this paper, we proposed a new centralized D2D (Device-to-Device) co-location algorithm. This algorithm uses DBSACN (Density-Based Spatial Clustering of Applications with Noise) clustering to reduce the deviation of device location information. Numerical results show that the positioning accuracy of the centralized D2D co-localization algorithm is improved by 62.7％ compared with the SPAWN algorithm, which positioning performance superior to the traditional co-localization algorithm.