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Calibration in RIS-aided Integrated Sensing, Localization and Communication Systems
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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.
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Cited by 2 Pith papers
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RIS Beam Calibration for ISAC Systems: Modeling and Performance Analysis
A combined-impacts RIS beam model, calibrated against measured patterns, reproduces beam patterns with error 0.94 compared to 4.15 and 8.75 for simpler models, and gives sub-meter simulated localization errors.
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Cross-layer Integrated Sensing and Communication: A Joint Industrial and Academic Perspective
6G ISAC can be designed and evaluated across layers, from hardware and waveforms to sensing APIs, using a KPI/KVI framework demonstrated in indoor, urban, and rural settings.
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