I’m developing a proof-of-concept that relies on Frequency Modulated Continuous Wave (FMCW) signals and need an experienced signal-processing engineer to turn my raw mixer outputs into actionable information. The scope covers the full digital chain—calibration, windowing, FFTs, range-Doppler generation, and target extraction techniques such as CFAR or similar adaptive thresholding. Code may be written in MATLAB or Python; please keep it modular so I can swap parameters and integrate rapidly with my existing acquisition software. To keep expectations clear, here’s what I would like handed over: • Well-commented source code that processes sample FMCW data from raw time-domain files through to range-Doppler (and, if practical within schedule, angle) outputs. • A concise README or Jupyter notebook explaining each processing stage and how to adjust sweep parameters, sampling rates, and window types. • A short test report—plots or tables summarising performance on the supplied dataset—so I can verify results match your code. Clean, maintainable code and reproducible results are more important to me than extensive documentation; clarity and accuracy trump everything. I’m happy to discuss finer points such as platform, libraries, or possible extensions (e.g., multi-frame tracking) once we connect.