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Research Groups

About the Laboratory & Research Area

Major Research Groups
1) Communication Channel & System
- Channel measurements, predictions, system performance analysis
- MIMO, Wideband, UWB, PLC
- Ray-Tracing, FDTD simulations
2) Network
- Load balancing, Interference management, Scheduling, Localization
- Relay network, Femto-cell network System level simulations
3) Vehicular Radar
- FMCW radar, DoA estimation, Interference mitigation

Research Interests & Projects

Recent Projects
1) Samsung Electronics - Development of communication-radar compatibility technology in next-generation communication systems (2020 - 2025)
2) Hyundai NGV - Development of high-mobility channel modeling technology for UWB communication robustness (2024)
3) LG Electronics - Feasibility Study of 8 GHz UWB Communications in LOS/NLOS Environments (2022)
4) Samsung Electronics - Development of enhanced D-MIMO technology for 5th-generation communication systems (2020 - 2021)
5) Hyundai NGV- Development of high-mobility channel modeling technology for UWB communication robustness (2020 - 2021)
6) Samsung Electronics - Development of an in-vehicle human detection algorithm based on UWB radar (2023 - 2024)
7) MOTIE(govern.) - Development of 4D imaging radar sensor module technology for autonomous driving (2021 - 2024)
8) LG Innotek - Development of a performance verification system (emulator) for antenna development for digital 4D image radar (2022 - 2023)
9) Samsung Electronics - Development of a human signal detection algorithm based on UWB radar (2022 - 2023)
10) Samsung Electro-Mechanics - Comparative study of NLOS sensor candidates (2021 - 2022)
11) MOTIE(govern.) - Development of 77/79GHz Dual Band Radar (2017 - 2020)
12) Hojeon - Development of radar-based target detection and location tracking technology in manufacturing plant environments (2020 - 2021)
13) Hyundai NGV - Development of positioning technology to improve UWB-based smart key positioning performance (2019 - 2020)
14) NRF(govern.) - Research on next-generation interference-resistant radar systems: Deep learning-based data augmentation source technology and adaptive target tracking technology (2019 - 2023)
15) Samsung Electronics - Development of 5G physical layer security technique based on deep learning (2018 - 2020)

Journals & Patents

Recent Publications
[1] Jaehoon Jung, Jihye Kim, Seong-Cheol Kim, and Sohee Lim, "Eye-Gase Tracking Based on Hed Orientation Estimation Using FMCW Radar Sensor," IEEE Transactions on Instrumentation & Measurement, vol. 73, Art no. 8508510, October 2024.
[2] Jaehoon Jung, Sohee Lim, Jihye Kim, and Seong-Cheol Kim, "Non-Line-of-Sight Vital Sign Detection Using Multipath Propagation of UWB Radar," IEEE Antennas and Wireless Propagation Letters, vol. 23, no. 7, pp. 2219-2223, July 2024.
[3] Jeong-Hoon Park, Young-Jun Yoon, Wanjei Cho, Doyoung Ham, and Seong-Cheol Kim, "Intercarrier Interference Mitigation for Communication Compatible OFDM Radar", IEEE Transactions on Vehicular Technology, vol. 73, no. 4, pp. 5930-5934, April 2024.
[4] Jeong-Hoon Park, Seongwook Lee, Gunhwi Moon, and Seong-Cheol Kim, “Spatial-Wideband Effect Compensation for High-Resolution Imaging in MIMO FMCW Radar," IEEE Transactions on Instrumentation & Measurement, vol. 73, Art no. 8003312, March 2024.
[5] Sohee Lim, Jaehoon Jung, Eunji Lee, Jeongsik Choi, and Seong-Cheol Kim, "In-Vehicle Passenger Occupancy Detection Using 60 GHz FMCW Radar Sensor," IEEE Internet of Things Journal, vol. 11, no. 4, pp. 7002-7012, February 2024.
[6] Eunji Lee, Kyoung-Min Park, Byeong-ho Lee, Seong-Cheol Kim, and Jeongsik Choi, "CNN-Based Real-Time Walking Direction Estimation for Pedestrian Navigation Scenarios", IEEE Sensors Journal, vol. 24, no. 1, pp. 1042-1050, January 2024.