A RadarSimPy demo simulating a C-band SAR flyover of a parking lot: six real vehicle meshes ray-traced with mixed materials, chained multi-segment flights, and sliding-window Back-Projection imaging — showing how physically accurate ray tracing naturally produces real-world SAR artifacts like layover.
This notebook demonstrates a complete, end-to-end strip-map Synthetic Aperture Radar (SAR) simulation using RadarSimPy. Starting from first principles, it walks through waveform design, radar hardware modelling, raw-data generation, and image formation — producing a focused SAR image of three point targets via the Back-Projection Algorithm (BPA).
This example introduces constant false alarm rate (CFAR) detection and shows how to use RadarSimPy to perform Cell-Averaging CFAR (CA-CFAR) detection and Ordered Statistics CFAR (OS-CFAR) detection.
