Winners of the Best Paper Award at the 2026 Winter Conference of the Korean Society for Electromagnetic Waves / Students Bae Yun-soo (Department of Electrical Engineering, Class of 2020) and Park So-hyun (Class of 2023)
- 26.03.19 / 홍유민
Undergraduate students from the Department of Electrical Engineering at Kookmin University’s College of Creative Engineering demonstrated their outstanding research capabilities at Korea’s most prestigious academic conference in the field of electromagnetic waves.
At the <2026 Winter Conference of the Korean Society for Electromagnetic Waves>, held at the Jeju International Convention Center (ICC) from February 25 to 27, Bae Yun-su (20) and Park So-hyun (23), students in the Department of Electrical Engineering at Kookmin University, received the “Best Paper Award” under the guidance of Professor Jang Byung-Jun.
This award is particularly significant because it was achieved in the “General Outstanding Paper Session,” where undergraduates competed against graduate students and active researchers, rather than in a competition exclusively for undergraduates.
The paper that earned them this honor is titled “Adaptive Distributed Radar Spectrum Sensing using Multiple SDRs and GPU Processing.”
While demand for real-time monitoring of radar signals has surged recently in the fields of unmanned aerial vehicle detection and national defense, existing high-performance equipment has been criticized for chronic issues such as high costs and bottlenecks caused by massive data processing. To address these issues, the research team proposed innovative designs including a lightweight CA-CFAR algorithm, GPU-accelerated signal processing, and spectrum stitching. The research team verified the system’s effectiveness by successfully detecting CW (Continuous Wave) signals in the 100 MHz band using self-built hardware and five SDRs. In particular, the implemented algorithm recorded an extremely low processing latency of approximately 32.7 microseconds, confirming its suitability for real-time signal detection applications. Professor Jang Byung-Jun, the supervising professor, shared his thoughts, saying, “I believe the project was highly evaluated because the undergraduate students designed the hardware themselves and integrated advanced signal processing techniques, such as GPU acceleration, to implement a fully functional system.”
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This content is translated from Korean to English using the AI translation service DeepL and may contain translation errors such as jargon/pronouns. If you find any, please send your feedback to kookminpr@kookmin.ac.kr so we can correct them.
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Winners of the Best Paper Award at the 2026 Winter Conference of the Korean Society for Electromagnetic Waves / Students Bae Yun-soo (Department of Electrical Engineering, Class of 2020) and Park So-hyun (Class of 2023) |
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Undergraduate students from the Department of Electrical Engineering at Kookmin University’s College of Creative Engineering demonstrated their outstanding research capabilities at Korea’s most prestigious academic conference in the field of electromagnetic waves. At the <2026 Winter Conference of the Korean Society for Electromagnetic Waves>, held at the Jeju International Convention Center (ICC) from February 25 to 27, Bae Yun-su (20) and Park So-hyun (23), students in the Department of Electrical Engineering at Kookmin University, received the “Best Paper Award” under the guidance of Professor Jang Byung-Jun. This award is particularly significant because it was achieved in the “General Outstanding Paper Session,” where undergraduates competed against graduate students and active researchers, rather than in a competition exclusively for undergraduates. The paper that earned them this honor is titled “Adaptive Distributed Radar Spectrum Sensing using Multiple SDRs and GPU Processing.” While demand for real-time monitoring of radar signals has surged recently in the fields of unmanned aerial vehicle detection and national defense, existing high-performance equipment has been criticized for chronic issues such as high costs and bottlenecks caused by massive data processing. To address these issues, the research team proposed innovative designs including a lightweight CA-CFAR algorithm, GPU-accelerated signal processing, and spectrum stitching. The research team verified the system’s effectiveness by successfully detecting CW (Continuous Wave) signals in the 100 MHz band using self-built hardware and five SDRs. In particular, the implemented algorithm recorded an extremely low processing latency of approximately 32.7 microseconds, confirming its suitability for real-time signal detection applications. Professor Jang Byung-Jun, the supervising professor, shared his thoughts, saying, “I believe the project was highly evaluated because the undergraduate students designed the hardware themselves and integrated advanced signal processing techniques, such as GPU acceleration, to implement a fully functional system.”
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