Zhengxun Song

Changchun University of Science and Technology

Papers

Total Citations

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About

Zhengxun Song is a researcher whose work lies at the intersection of robotic automation and antenna metrology, with a particular focus on improving the accuracy and efficiency of near-field antenna measurements. His most-cited paper, "Effect of Near-Field Scanning Speed on Far-Field Calculations" (2023), addresses a critical yet often overlooked variable in antenna testing: the speed at which robotic systems scan the near-field region. By systematically analyzing how scanning velocity influences the quality of far-field predictions, Song provides a foundational framework for optimizing robotic measurement protocols. This work is especially relevant as the use of robots for antenna characterization becomes increasingly common across telecommunications, defense, and aerospace industries. With 1 citation, his contribution is beginning to gain recognition among specialists seeking to refine automated testing procedures. Song’s research bridges practical engineering challenges with theoretical modeling, offering actionable insights for both laboratory and industrial settings. His focus on robotic precision in electromagnetic measurements positions him as an emerging voice in the advancement of modern antenna testing methodologies.