This project focuses on simulation-based classification of moving targets (walking human, crawling soldier, drone, vehicle) using radar micro-Doppler signatures.
- Radar signal simulation and processing
- FFT and time-frequency analysis
- Feature extraction using spectrograms
- Target classification using machine learning
- Python
- MATLAB
- NumPy, SciPy, Matplotlib
- Machine Learning (CNN / RNN)
This project uses the CI4R-MULTI3 24 GHz Micro-Doppler Spectrogram Dataset.
Dataset source: https://github.com/ci4r/CI4R-MULTI3
Required folder: data/raw/24GHz/