Indoor Positioning Using Distributed MIMO: Processing Architecture and FPGA Implementation

Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel, practical realization of such systems is still lacking. We propose a highly accurate, low latency indoor distributed positioning multi-FPGA solution which leverages the particularities of a machine learning algorithm to obtain resource efficient hardware accelerators. We make use of the common infrastructure of the physical layer within a wireless network to explore the reusability and scalability of our design.