• 多重輸出多重輸入雷達訊號處理
  • 於硬體ZCU111上實踐偽雜訊編碼多重輸出多重輸入雷達
• 雷達物件辨識
  • 改良機器學習YOLO網路於車載雷達物件辨識系統
• 雷達通訊整合/感知通訊融合技術
  • 基於正交分頻多工的雷達通訊整合/感知通訊融合技術
  • 基於頻率調變連續波雷達的雷達通訊整合/感知通訊融合技術 
• 雷達目標模擬系統
  • 開發模擬實際電子戰場景的模擬系統
  • 使用ZCU216設計雷達目標模擬的硬體加速器

▶ 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)