%0 Journal Article
%A LU Zhao-ming
%A WANG Lu-han
%A WEN Xiang-ming
%A WU Mu-qing
%A CHU Xing-he
%T Multi-Path Assisted Cooperative Radio-Based Localization for Connected Vehicles
%D 2021
%R 10.13190/j.jbupt.2020-191
%J Journal of Beijing University of Posts and Telecommunications
%P 116-123
%V 44
%N 2
%X In order to solve the less-accuracy and insufficient-coverage problem of the traditional localization methods like global positioning system (GPS) and BeiDou navigation satellite system (BDS) in the areas where the signals are blocked, a multi-path assisted cooperative radio-based localization method is proposed for connected vehicles based on the fifth generation of mobile communications system and vehicle to everything. In detail, the localization information carried by multi-path components from the transmitter to the receiver in vehicle network is modeled into multi-path positioning segments, thus their relative position is calculated based on least squared algorithm. Then a belief propagation based algorithm is presented to calculate the position of each vehicle by fusing the relative positioning information and the partial covered GPS/BDS information. Simulations show that the algorithm can improve the localization accuracy over different vehicle densities and different GPS/BDS available probabilities, which further indicates that the algorithm can solve the GPS/BDS insufficient-coverage problem so as to provide high-accuracy localization for connected vehicles.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2020-191