Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies

TL;DR

This paper introduces a probabilistic ray-tracing approach that combines environmental geometry and measurement statistics to improve user equipment positioning accuracy at mmWave frequencies.

Contribution

It presents a novel method integrating ray-tracing simulations with statistical measurement models for enhanced positioning accuracy.

Findings

Improved positioning accuracy using probabilistic ray-tracing.

Effective utilization of environmental and measurement data.

Potential for better localization in complex environments.

Abstract

We consider the following positioning problem where several base stations (BS) try to locate a user equipment (UE): The UE sends a positioning signal to several BS. Each BS performs Angle of Arrival (AoA) measurements on the received signal. These AoA measurements as well as a 3D model of the environment are then used to locate the UE. We propose a method to exploit not only the geometrical characteristics of the environment by a ray-tracing simulation, but also the statistical characteristics of the measurements to enhance the positioning accuracy.