Radar Detection and Tracking Project

This project implements a Constant False Alarm Rate (CFAR) detector specifically designed for target detection in Weibull-distributed backgrounds [1]. The Weibull distribution is characterized by two parameters: shape and scale. For detection testing, these parameters are estimated using Maximum Likelihood (ML) algorithm implementation. The project includes visual demonstrations, MATLAB/Python code examples, and comprehensive references for further study.