Indoor mMTC group targets localization in 5G networks based on parallel chaotic stochastic resonance processing of distance estimation between terminals

Abstract

In this research, a high-precision positioning method for 5G group communication terminals based on the mMTC scenario is proposed. Group positioning extends the original positioning for a single terminal to positioning for multiple terminals simultaneously, utilizing the interaction information between terminals to optimize the positioning results by using the parallel chaotic stochastic resonance processing technique. On the basis of traditional single target positioning algorithms, the mMTC communication mode is effectively used to increase the positioning information between terminals and improve the average positioning accuracy of each communication terminal in the 5G cluster.