About the Laboratory & Research Area
Our laboratory focuses on signal processing technologies for RF-based sensing and communications. In 6G networks, integrated sensing and communication (ISAC), where communication networks also perform sensing functions, is emerging as a key technology. In autonomous driving and defense applications, radar systems are becoming increasingly important for real-time detection and recognition of targets under adverse weather and complex environments. Accordingly, our research encompasses 1) waveform design, AI- and quantum computing-based intelligent signal processing, and resource optimization for next-generation ISAC systems; and 2) radar signal processing, including imaging radar, synthetic aperture radar (SAR), sensor fusion, and simultaneous localization and mapping (SLAM).
Research Interests & Projects
1. Korea Planning & Evaluation Institute of Industrial Technology (KEIT) - Development of a CMOS-based Dual-band Sub-THz MIMO Imaging Radar SoC with Integrated Real-time Cognitive Computing Accelerators (2026 - 2030)
2. National Research Foundation of Korea (NRF) - Research on Futuristic Passive Sensing Technologies Exploiting Ambient Communication Signals (2025 - 2030)
3. National Research Foundation of Korea (NRF) - Next-Generation Intelligent Sensing and Communication Lab (2024 - 2027)
4. Institute for Information & Communications Technology Planning & Evaluation (IITP) - Development of PMCW-based MIMO Digital Radar SoC for Next-Generation Autonomous Driving (2024 - 2028)
5. National Research Foundation of Korea (NRF) - Quantum Computing-based Resource Allocation and Digital Twin Development for Joint Radar-Communication Systems (2025 - 2026)
2. National Research Foundation of Korea (NRF) - Research on Futuristic Passive Sensing Technologies Exploiting Ambient Communication Signals (2025 - 2030)
3. National Research Foundation of Korea (NRF) - Next-Generation Intelligent Sensing and Communication Lab (2024 - 2027)
4. Institute for Information & Communications Technology Planning & Evaluation (IITP) - Development of PMCW-based MIMO Digital Radar SoC for Next-Generation Autonomous Driving (2024 - 2028)
5. National Research Foundation of Korea (NRF) - Quantum Computing-based Resource Allocation and Digital Twin Development for Joint Radar-Communication Systems (2025 - 2026)
Journals & Patents
1. Hwanhee Park, Chan-Bin Ko, Jeong-Hoon Park, Chanul Park, Raeseung Park, Hae-Seung Lim, Jae-Eun Lee, and Seongwook Lee, “Solving Doppler ambiguity using folded array in uniform phase DDM method,” IEEE Transactions on Instrumentation and Measurement, vol. 74, February 2025.
2. Hojung Lee, Song-Yi Kwon, and Seongwook Lee, “Restoration of automotive radar signals under mutual interference by digital in-painting,” IEEE Transactions on Instrumentation and Measurement, vol. 73, July 2024.
3. Yonghee Lee, Junho Kim, Siwon Kim, Hyeonmin Lee, and Seongwook Lee, “Estimation of moving direction and size of vehicle in high-resolution automotive radar system,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 7, July 2024.
4. Chanul Park, Seungheon Kwak, Hojung Lee, and Seongwook Lee, “Bidirectional LSTM-based overhead target classification for automotive radar systems,” IEEE Transactions on Instrumentation and Measurement, vol. 73, January 2024.
5. Seungheon Kwak, Chanul Park, and Seongwook Lee, “DNN-based legibility improvement for air-writing in millimeter-waveband radar system,” IEEE Transactions on Instrumentation and Measurement, vol. 72, October 2023.
2. Hojung Lee, Song-Yi Kwon, and Seongwook Lee, “Restoration of automotive radar signals under mutual interference by digital in-painting,” IEEE Transactions on Instrumentation and Measurement, vol. 73, July 2024.
3. Yonghee Lee, Junho Kim, Siwon Kim, Hyeonmin Lee, and Seongwook Lee, “Estimation of moving direction and size of vehicle in high-resolution automotive radar system,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 7, July 2024.
4. Chanul Park, Seungheon Kwak, Hojung Lee, and Seongwook Lee, “Bidirectional LSTM-based overhead target classification for automotive radar systems,” IEEE Transactions on Instrumentation and Measurement, vol. 73, January 2024.
5. Seungheon Kwak, Chanul Park, and Seongwook Lee, “DNN-based legibility improvement for air-writing in millimeter-waveband radar system,” IEEE Transactions on Instrumentation and Measurement, vol. 72, October 2023.
