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Research Theme

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.

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

Key Technology
  • 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

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