Research on D2D Co-localization Algorithm Based on Clustering Filtering

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

作者机构：School of AutomationBeijing University of Posts and TelecommunicationsBeijing 100876China School of Electronic EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2020年第17卷第8期

页      面：121-132页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0839[工学-网络空间安全] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081202[工学-计算机软件与理论] 

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

主　　题：co-location D2D clustering DBSACN 

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.