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Found 7 papers, 0 papers with code
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach
Most of the 5G positioning literature relies on constant motion models to bridge such 5G outages, which do not capture the true dynamics of the vehicle.
Joint Communication and Sensing for 6G -- A Cross-Layer Perspective
As 6G emerges, cellular systems are envisioned to integrate sensing with communication capabilities, leading to multi-faceted communication and sensing (JCAS).
Demonstrating the Merits of Integrating Multipath Signals into 5G LoS-Based Positioning Systems for Navigation in Challenging Environments
Constrained environments, such as indoor and urban settings, present a significant challenge for accurate moving object positioning due to the diminished line-of-sight (LoS)communication with the wireless anchor used for positioning.
Enabling High-Precision 5G mmWave-Based Positioning for Autonomous Vehicles in Dense Urban Environments
To address this challenge, we exploit 5G multipath and LoS signals to improve positioning performance in dense urban environments.
Integrated 5G mmWave Positioning in Deep Urban Environments: Advantages and Challenges
Inspired by INS-GNSS integration literature, all methods defaulted to a tightly-coupled (TC) integration scheme, which hinders the potential of such an integration.
5G Multi-BS Positioning: A Decentralized Fusion Scheme
Such measurements have a non-linear relationship with the positioning states of the filter, giving rise to linearization errors.
A Step Closer Towards 5G mmWave-based Multipath Positioning in Dense Urban Environments
Yet, many multipath-based methods in the literature share a common assumption, which entails that multipath signals are caused by single-bounce reflections only, which is not usually the case.
