Joint Localization and Environment Sensing by Harnessing NLOS Components in RIS-aided mmWave Communication Systems

Abstract

This study explores the use of non-line-of-sight (NLOS) components in millimeter-wave (mmWave) communication systems for joint localization and environment sensing. The radar cross section (RCS) of a reconfigurable intelligent surface (RIS) is calculated to develop a general path gain model for RISs and traditional scatterers. The results show that RISs have a greater potential to assist in localization due to their ability to maintain high RCSs and create strong NLOS links. A one-stage linear weighted least squares estimator is proposed to simultaneously determine user equipment (UE) locations, velocities, and scatterer (or RIS) locations using line-of-sight (LOS) and NLOS paths. The estimator supports environment sensing and UE localization even using only NLOS paths. A second-stage estimator is also introduced to improve environment sensing accuracy by considering the nonlinear relationship between UE and scatterer locations. Simulation results demonstrate the effectiveness of the proposed estimators in rich scattering environments and the benefits of using NLOS paths for improving UE location accuracy and assisting in environment sensing. The effects of RIS number, size, and deployment on localization performance are also analyzed.

arXiv comment32 pages, 12 figures, accepted by IEEE Transactions on Wireless Communications

References in corpus (8)

• An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
• Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
• Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
• Position and Orientation Estimation through Millimeter Wave MIMO in 5G Systems
• Path Loss Modeling and Measurements for Reconfigurable Intelligent Surfaces in the Millimeter-Wave Frequency Band
• Beyond 5G Wireless Localization with Reconfigurable Intelligent Surfaces
• A Survey on Fundamental Limits of Integrated Sensing and Communication
• Transforming Fading Channel from Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication

Cited by in corpus (1)

• Performance Analysis of Integrated Sensing and Communication Networks with Blockage Effects