MATLAB Doppler Radar Signal Simulation and Processing

Application Background The application background covers fundamental processes in pulse Doppler radar signal generation and processing. These processes include signal simulation (using Gaussian white noise modeling) and signal processing techniques such as MTI processing and constant false alarm rate methods. Technical Implementation • s3.m forms the core MATLAB script for pulse Doppler radar signal processing workflow. The implementation involves phase-coherent simulation of Doppler radar signals and MTI filtering algorithms to suppress clutter and enhance moving target detection. • OS-CFAR.m serves as a called function that implements Ordered Statistics Constant False Alarm Rate processing, typically containing threshold calculation logic based on ordered statistical analysis of surrounding cells. • Pf.m performs computational operations for ordered constant false alarm rate processing, calculating false alarm probability (Pf) given input parameters: 2L (total data length), m (selected detection cell index), and T (quality factor). This calculation is referenced in academic papers for systematic quality factor selection in radar detection systems.