On-Going Projects
“Development of High-Capacity Sensing Data Transmission Sensor Module and Centralized Integrated Cognitive Software,” Ministry of Trade, Industry and Energy (MOTIE) (2024.07~), Co-investigator
As the automotive industry shifts toward software-defined vehicles (SDVs), access to raw sensor data acquired from vehicles has increased, enabling research on raw-data-level sensor fusion with a zonal architecture. In this project, I have focused in particular on the nonlinear signal processing modules of radar sensors, linking them to raw-data-driven sensor fusion approaches. This work contributes not only to improved perception performance through fusion, but also to enhancing the performance of radar-only systems.
"Advancing Next-Generation Communication–Radar Coexistence Using AI Technology," Samsung Electro-Mechanics (2025.09~), Co-investigator
Previous Projects
“Development of 4D imaging radar sensor module for autonomous driving," Ministry of Trade, Industry and Energy (MOTIE) (2021.04~2025.12), Co-investigator
The imaging radar is capable of estimating range, velocity, azimuth and elevation angles to acquire image-like point clouds of surrounding objects. Our research included MIMO radar antenna array design, MIMO multiplexing scheme, AI-based high-resolution DoA estimation, vehicle direction estimation, and angle estimation in massive MIMO radar systems. I also carried out the end-to-end pipeline from RF measurements to application-level implementation, including the integration of AI-based perception software.
“Comparative Study of Candidate Sensors for NLOS Candidates,” Samsung Electro-Mechanics (2021.10 ~ 2022. 04), Co-investigator
The goal of this work was to detect pedestrians located in non-line-of-sight (NLOS) environments by exploiting electromagnetic propagation phenomena such as scattering, reflection, and diffraction. To this end, we conducted measurements using radar systems with different frequency bands and waveforms, and performed a feasibility study on target detectability in both front-reflection and side-reflection scenarios. In addition, we carried out VNA-based measurements to characterize reflection and diffraction properties of different wall materials, and used these results to design the link budget, which allowed us to design comprehensive RF system covering both propagation characteristics and system-level considerations.
“Joint Communication-Radar Systems for Next-Generation Communication Systems.” Samsung Electronics, DS part (2020.09~2025. 08), Co-investigator
In this project, I have primarily focused on sensing techniques using OFDM-based communication waveforms, including methods to overcome limited range resolution caused by insufficient bandwidth, ICI mitigation in high-mobility environments, low-complexity target detection in OTFS systems based on delay-Doppler channels, sensing-aided tracking, and beam management in V2V scenarios. Currently, I’m focusing on AI-based signal processing for ISAC systems.
“RF Measurement Data Acquisition through a Performance Verification System for Antenna Development in Digital 4D Imaging Radar.” LG Innotek (2022.11~2023.08), Co-investigator
In this project, we conducted both a theoretical study and RF measurement-based performance validation for PMCW radar systems, which are gaining significant attention as next-generation imaging radar technology. Our work included performance analysis for different code sequences, detector design, frame structure design, and MIMO array design for two-dimensional angle estimation. In addition, we developed a vehicle-mounted testbed capable of simultaneously collecting data from radar, camera, LiDAR, and GPS sensors, enabling synchronized experimental data acquisition. Based on this work, I’m continuing technical collaboration with the partner organization and contributing to their ongoing imaging radar development efforts.
“Indoor shadow-zone analysis using ray-tracing Simulator," Samsung Electronics, DA part (2024.11~2025.10), Co-investigator
In this project, we modeled the complex RF propagation characteristics of indoor environments and performed ray-tracing simulations to analyze transmission and reflection properties depending on material types based on electromagnetic principles. We also conducted RF measurements using a signal generator and a spectrum analyzer, and compared the measured signals with the ray-tracing results to refine the data-model gap. In addition, we analyzed shadow zones in different residential configurations using ray-tracing simulator to identify shadow-zone to better ensure reliable communication among IoT devices.