Poster: NLoS Positioning through Multipath Selection and AoA-based Localization

This paper proposes a Wireless Positioning (WP) approach for Vehicle-of-Interest (VoI) localization in Non-Line-of-Sight (NLoS) conditions. While traditional sensors like cameras, radars, and GNSS have limitations in environments with rich multipath, WP can complement these systems by leveraging Vehicle-to-Everything (V2X) communication infrastructure. Our method combines ray tracing, geometric constraints, and a virtual station-based approach to estimate the position of the VoI. The proposed approach aims to reduce the complexity of NLoS positioning by effectively handling multipath trajectories and leveraging AoA for accurate Tx localization. The methodology is still under validation, and its performance will be further assessed through simulations.