Papers
2
Total Citations
13
H-Index
2
About
Jun Ouyang is a researcher specializing in magnetic sensing, localization, and instrumentation, with a focus on advancing technologies for detecting and tracking both ferromagnetic and nonmagnetic targets. His key contributions lie in developing calibration methods for magnetometer arrays and modeling eddy current effects for nonmagnetic metal localization. In his most-cited work (10 citations), Ouyang introduced a novel calibration technique for magnetometer array mismatch errors using two excitation coils and particle swarm optimization, significantly improving measurement accuracy for ferromagnetic target detection and magnetic anomaly suppression. This work has direct applications in geological prospecting, medical monitoring, and disaster rescue. His subsequent research (3 citations) extends magnetic localization to nonmagnetic or weakly magnetic metals by proposing a metal shell model for eddy current-based localization, broadening the scope of magnetic anomaly detection. Ouyang’s work is notable for its practical engineering focus, combining algorithmic optimization with physical modeling to enhance sensor array performance. His research impacts fields requiring high-precision, all-weather target detection, offering scalable solutions for both environmental and industrial monitoring.
Research Focus
Key Achievements
Top Papers
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