Research
Research Topics
Machine Learning Using Radar Signals
Machine-learning based Radar Signal Processing Chain (Detection, Clustering, Classification)
Remote Heart rate Estimation with Lightweight Network (Best Paper Award in 2023 KIEES Summer Conference)
Liveliness Detection, Face Recognition, Gesture Recognition, and other radar recognition problems
Sponsored by Ministry of SMEs and Startups
NLOS Target Detection for Automotive Radar
NLOS Pedestrian Detection, Classification for Automotive Radar
Sensor Synchronization, Direction of Arrival, Ego-velocity Estimation, Velocity Ambiguity Resolve Techniques
Sponsored by Samsung Electro-Mechanics
Distributed Radar System
Distributed Radar System for low RCS targets, NLOS targets
Wireless Synchronization Techniques, Classification of Multipath Signal, Spectrum Sharing between Radars
Machine Learning based Spectrum Monitoring
Monitoring illegal, unlicensed wireless signals with time-frequency, I/Q data
Wireless Anomaly Detection, Signal Classification Machine Learning Techniques
Sponsored by IITP
Microwave-Energy System
Wideband Impedance Measurement and Prediction.
Diagnosis and Optimization for microwave-energy related process, frequency, waveforms.
Sensor Fusion Techniques for I-V sensor, Video Sequence, Temperature, Pressure sensors.
Sponsored by IITP
Radar Design and Calibration Techniques
Waveform Design, Multiplexing Techniques for large scale MIMO radar
Calibration, Optimization of MIMO Radar System
Sponsored by HANWHA Systems, Anechoic Chamber from C&G Microwave
Reference
Kim, H., Kim, J., Kim, J., Choi, J., Hong, S., Kim, N., & Kim, B. (2023). Calibration of Wideband LFM Radars Based on Sliding Window Algorithm. Electronics, 12(17), 3564.
Kim, J., Kim, B., Choi, S., Cho, H., Kim, W., Eo, M., & Tanji, K. (2020, October). 79-GHz Four-RFIC Cascading Radar System for Autonomous Driving. In 2020 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1-5). IEEE.
Analysis of Target Micro-Doppler Signature
Radar Target Classification, Movement Recognition using micro-Doppler Signature
Reference : Kim, B. K., Kang, H. S., & Park, S. O. (2016). Drone classification using convolutional neural networks with merged Doppler images. IEEE Geoscience and Remote Sensing Letters, 14(1), 38-42.
Antenna Design for MIMO Radar
Antenna Element Design & Array Optimization for High Angle Resolution
mmWave Multi-layer Antenna Module Design
Reference : Nikishov, A. Y., Kim, B. K., Evtyushkin, G. A., & Kim, J. S. (2020). U.S. Patent Application No. 16/682,223.