Master of Communication Engineering | Radar Algorithm Developer My core research interests lie at the intersection of Signal Processing and Computer Vision / Deep Learning. I keep documenting theories, simulation codes and project practices in open-source repositories for continuous technical sharing.
- 🎓 Master graduate majoring in Communication Engineering, full-time radar algorithm developer focusing on RF signal processing and intelligent perception.
- 📡 Specialized in communication & radar modulation/demodulation, waveform generation, channel simulation, SDR software radio implementation.
- 🤖 Proficient in deep learning visual tasks: object detection, image classification, semantic segmentation, infrared-visible image fusion for UAV recognition scenarios.
- 🔗 Cross-domain thinking: Combine physical-layer RF signal knowledge with data-driven deep learning algorithms to complete industrial engineering deployment.
- 🌱 Ongoing learning: End-to-end algorithm productization, including model training, GPU acceleration, service deployment and full-stack application development.
- 🛸 Anti-UAV Intelligent Early Warning System YOLOv10 + GLM-4V dual-modal detection for infrared & visible images, with target trajectory tracking and natural language semantic description.
- 📻 SDR Signal Processing Simulation Library Complete GNU Radio projects covering polyphase filter, FFT, modulation & demodulation, paired with systematic theoretical notes.
- 📡 Radar Modem Link Implementation MATLAB/Python signal simulation + C++ high-performance engineering code, covering the full pipeline from waveform generation to receiver demodulation.
- 📚 Personal Technical Knowledge Base Centralized open repository storing all my study notes & runnable codes: C++/CUDA, signal processing, computer vision and deep learning.
GNU Radio, SDR++, RF Simulation, Remote Linux GPU Server Development
Full-stack development, lightweight model optimization, algorithm deployment pipeline
- 📖 Personal knowledge base repo: Constantly updated theory documents, debug records and executable demos for signal processing & deep learning.
- 🎥 Plan to release practical tutorials about SDR, RF simulation, CV and deep learning.
- 🔗 Technical blog & media links will be added later.
Email: lfr1251001196@gmail.com