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About

Zhigang Hu is a researcher whose work spans two distinct but technically rigorous domains: GNSS (Global Navigation Satellite System) antenna calibration and human-computer interaction through biosignal processing. His most impactful contributions lie in the precise characterization of GNSS receiver antenna phase center correction (PCC) models, a critical area for achieving millimeter-level positioning accuracy. His 2022 study on PCC model consistency — his most cited work with 14 citations — introduced a novel evaluation method revealing that discrepancies between models from different institutes can reach several millimeters, significantly exceeding nominal calibration tolerances. Building on this, Hu has advanced absolute field calibration methodologies at Wuhan University, leveraging six-axis robotic systems to conduct multi-session experiments for GPS and BDS-3 signals, contributing to the iGMAS infrastructure supporting China's BeiDou navigation system. More recently, Hu has expanded into gesture recognition, developing a two-stream residual network that fuses surface EMG and accelerometer signals to improve human-computer interaction systems beyond traditional machine learning limitations. With a growing citation record across these fields, Hu represents an emerging voice in both precision geodesy and applied signal intelligence research.