Hybrid 5G Positioning Systems with Applications to Mobile Robot Technology

Abstract

A new concept of 5G/INS integration of artificial intelligence-based systems is proposed, namely the Recurrent Neural Networkbased Fuzzy Inference System (RNNFIS). The 5G system with fuzzy logic was used as a reference during its availability. Data from the 5G system and the inertial navigation system (INS) are used to build a structured knowledge base consisting of the behavior of the INS system in some special scenarios of robotic technology. Using the same data, the proposed fuzzy system is trained to obtain corrected navigation data. In the absence of 5G system information, the system will only utilize data from the INS system and blur correction algorithms to perform its tasks.