Research
Advanced Radar Techniques
Communication System Design and Digital Signal Processing Lab
Prof. Ta-Sung Lee

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  • MIMO radar signal processing
    • Implementation MIMO PN coded radar on ZCU111
  • Radar Object Recognition
    • Introduce the YOLO ML model to recognize object in automotive radar system
  • Radar Communications (RadCom)
    • Orthogonal frequency-division modulation (OFDM) radar based RadCom system
    • Frequency-modulated continuous wave (FMCW) radar-based RadCom system 
  • Radar Channel Emulation System
    • Development of the channel that simulates actual electronic warfare scenarios
    • Design hardware accelerator of channel emulator with ZCU216

▶ T. Y. Huang, M. C. Lee, C. H. Yang, and T. S. Lee, "YOLO-ORE: A deep learning-aided object recognition approach for radar systems," in IEEE Transactions on Vehicular Technology, vol. 72, no. 5, pp. 5715-5731, May 2023. (Link)
▶ M. X. Gu, M. C. Lee, Y. S. Liu, and T. S. Lee, "Design and analysis of frequency hopping-aided FMCW-based integrated radar and communication systems," in IEEE Transactions on Communications, vol. 70, no. 12, pp. 8416-8432, Dec. 2022. (Link)
▶ H. W. Hsu, M. C. Lee, M. X. Gu, Y. C. Lin, and T. S. Lee, "Analysis and design for pilot power allocation and placement in OFDM based integrated radar and communication in automobile systems," in IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 1519-1535, Feb. 2022. (Link)