North Korea has threatened South Korea through the use of unmanned micro-flight vehicles that cannot be detected by existing radar.
In America and Japan, unmanned vehicles were caught in national office . Currently, due to the rapid development of UAVs, anyone can purchase UAVs, which can be armed with small bombs or chemical weapons, making these drones extremely dangerous. Accordingly, a technique to detect UAVs, which have small RCS and slow velocity, is acutely required. Existing radar detection systems are unsuitable for Korea’s mountainous terrain, so a detection system for such terrains is urgently needed.

• FMCW radar system
• Passive radar system
• Real-time UAV trace algorithm and visualization
• Optic networks
• Enemy UAV characteristic analysis

• UAV detection by applying ambiguity function
• Synchronization for FMCW radar system
• Multi-measurement modeling extended by super-resolution model for radar model
• Real-time tracing technology realized by Time of Arrival (TOA), Frequency of Arrival (FOA), and Extended Kalman filter (EKF)
• Realization of an IFoF-based wavelength division multiplex passive optic network
• Visualization engine development of UAV tracing
• Target shape extraction with active contour method and multi-radar network
• Real-time embedded system for UAV radar detection
• Optimization of radar network for passive UAV detection system