Calibration in RIS-aided Integrated Sensing, Localization and Communication Systems

TL;DR

This paper reviews calibration techniques for RIS in integrated sensing, localization, and communication systems, emphasizing their importance for accurate operation in 6G networks.

Contribution

It provides a comprehensive overview of RIS calibration methods, their challenges, and impacts on ISAC system performance.

Findings

Calibration improves localization accuracy in RIS-assisted systems

Different calibration methods have varying complexity and effectiveness

Proper calibration is essential for reliable sensing and communication in 6G

Abstract

Reconfigurable intelligent surfaces (RISs) are key enablers for integrated sensing and communication (ISAC) systems in the 6G communication era. With the capability of dynamically shaping the channel, RISs can enhance communication coverage. Additionally, RISs can serve as additional anchors with high angular resolution to improve localization and sensing services in extreme scenarios. However, knowledge of anchors' states such as position, orientation, and hardware impairments are crucial for localization and sensing applications, requiring dedicated calibration, including geometry and hardware calibration. This paper provides an overview of various types of RIS calibration, their impacts, and the challenges they pose in ISAC systems.