Research on D2D Co-localization Algorithm Based on Clustering Filtering  

作　　者：Jiawen Zhang Fuxing Yang Zhongliang Deng Xiao Fu Jiazhi Han 

机构地区：[1]School of Automation,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《China Communications》2020年第8期121-132,共12页中国通信（英文版）

基　　金：financially supported by the National Key Research&Development Program under Grant No.2018YFC0809702。

摘　　要：Nowadays, most positioning systems carry out locational calculation based on the accurate location information of some devices in the network. However there is a deviation 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.

关 键 词：CO-LOCATION D2D CLUSTERING DBSACN 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]