Onsite Array Calibration for Joint Localization and Communication Systems

Research Project, 2025

This project aims to enhance localization and communication services through onsite calibration of network infrastructure, using model-based and machine learning methods. The calibration involves defining calibration parameters and employing a calibration agent in multipath scenarios. Key objectives include developing a low-dimensional representation of array calibration parameters to analyze their impact, designing an onsite calibration algorithm robust to multipath and practical constraints (e.g., unknown calibration agent location), and leveraging preliminary results to support future funding applications.