RIS-Aided Localization and Sensing

TL;DR

This paper reviews RIS technology for high-precision localization and sensing, highlighting theoretical principles, practical algorithms, and experimental validation to overcome challenges in complex environments.

Contribution

It provides a comprehensive overview of RIS-aided localization and sensing, combining fundamental theory, algorithmic strategies, and recent experimental results.

Findings

RIS enhances signal diversity and virtual LoS links.

Algorithmic methods improve localization accuracy.

Experimental results validate RIS effectiveness.

Abstract

High-precision localization and environmental sensing are essential for a new wave of applications, ranging from industrial automation and autonomous systems to augmented reality and remote healthcare. Conventional wireless methods, however, often face limitations in accuracy, reliability, and coverage, especially in complex non-line-of-sight (NLoS) environments. Reconfigurable Intelligent Surfaces (RISs) have emerged as a key enabling technology, offering dynamic control over the radio propagation environment to overcome these challenges. This chapter provides a comprehensive overview of RIS-aided localization and sensing, bridging fundamental theory with practical implementation. The core principles of the RIS technology are first described detailing how programmable metasurfaces can intelligently combat blockages, enhance signal diversity, and create virtual line-of-sight (LoS) links. The chapter then reviews a range of application scenarios where RISs can offer significant improvements. A significant portion of the chapter is dedicated to algorithmic methodologies, covering beam sweeping protocols, codebook-based techniques, and advanced optimization and machine learning strategies for both localization and sensing. To validate the theoretical concepts in real-world conditions, recent experimental results using an RIS prototype are detailed, showcasing the technology's efficacy and illustrating key performance trade-offs.