2020/08/19 by Meysam Goodarzi, Nebojša Maletić, Goodarzi, Meysam +5
Computer Science · Engineering · #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Network Time Synchronization Technologies #Signal Processing (eess.SP) #Wireless Networks and Protocols #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2008.08481
openalex publication_date 2020/08/19 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
In this work, we study the joint synchronization and localization (sync&loc)\nof Mobile Nodes (MNs) in ultra dense networks. In particular, we deploy an\nasymmetric timestamp exchange mechanism between MNs and Access Nodes (ANs),\nthat, traditionally, provides us with information about the MNs' clock offset\nand skew. However, information about the distance between an AN and a MN is\nalso intrinsic to the propagation delay experienced by exchanged time-stamps.\nIn addition, we utilize Angle of Arrival (AoA) estimation to determine the\nincoming direction of time-stamp exchange packets, which gives further\ninformation about the MNs' location. Finally, we employ Bayesian Recursive\nFiltering (BRF) to combine the aforementioned pieces of information and jointly\nestimate the position and clock parameters of MNs. The simulation results\nindicate that the Root Mean Square Errors (RMSEs) of position and clock offset\nestimation are kept below 1 meter and 1 ns, respectively.\n