Realizing Multi-Point Vehicular Positioning via Millimeter-wave Transmission

TL;DR

This paper introduces a millimeter-wave based multi-point vehicular positioning system that leverages multi-path reflections and a phase-difference-of-arrival algorithm to enable real-time, non-line-of-sight detection of surrounding vehicles.

Contribution

It presents a novel mmWave transmission method with multi-path reflection exploitation and a PDoA-based hyperbolic positioning algorithm for NLoS vehicle detection.

Findings

Enables fast, real-time detection of vehicles in NLoS conditions.

Achieves lower latency compared to traditional positioning methods.

Works effectively with transceiver separation in complex environments.

Abstract

Multi-point detection of the full-scale environment is an important issue in autonomous driving. The state-of-the-art positioning technologies (such as RADAR and LIDAR) are incapable of real-time detection without line-of-sight. To address this issue, this paper presents a novel multi-point vehicular positioning technology via \emph{millimeter-wave} (mmWave) transmission that exploits multi-path reflection from a \emph{target vehicle} (TV) to a \emph{sensing vehicle} (SV), which enables the SV to fast capture both the shape and location information of the TV in \emph{non-line-of-sight} (NLoS) under the assistance of multi-path reflections. A \emph{phase-difference-of-arrival} (PDoA) based hyperbolic positioning algorithm is designed to achieve the synchronization between the TV and SV. The \emph{stepped-frequency-continuous-wave} (SFCW) is utilized as signals for multi-point detection of the TVs. Transceiver separation enables our approach to work in NLoS conditions and achieve much lower latency compared with conventional positioning techniques.