# A Complete Solution for Ultra-Wideband Based Real-Time Positioning

## TL;DR

This paper presents a complete UWB-based real-time positioning system that uses machine learning to improve efficiency and accuracy.

## Contribution

A novel hybrid machine learning approach reduces computational power while maintaining high positioning accuracy in UWB systems.

## Key findings

- The system achieves high-frequency refresh rates with reduced computational load.
- The hybrid ML solution improves positioning accuracy in real-time applications.
- The system design is validated through implementation and comparison with existing solutions.

## Abstract

Real-time positioning is a technological field with a multitude of applications, which expand across many scopes: from positioning within a large area to localization within smaller spaces; from locating people to locating equipment; from large-scale industrial or military applications to commercially available solutions. There are at least as many implementations of real-time positioning as there are applications and challenges. Within the domain of Radio Frequency (RF) systems, positioning has been approached from multiple angles. Some of the more common solutions involve using Time of Flight (ToF) and time difference of arrival (TDoA) technologies. Within TDoA-based systems, one common limitation stems from the computational power necessary to run the multi-lateration algorithms at a high enough speed to provide high-frequency refresh rates on the tag positions. The system presented in this study implements a complete hardware and software TDoA-based real-time positioning system, using wireless Ultra-Wideband (UWB) technology. This system demonstrates improvements in the state of the art by addressing the above limitations through the use of a hybrid Machine Learning solution combined with algorithmic fine tuning in order to reduce computational power while achieving the desired positioning accuracy. This study presents the design, implementation, verification and validation of the aforementioned system, as well as an overview of similar solutions.