MATLAB Code Implementation of CFAR (Constant False Alarm Rate) Algorithm

This implementation provides CFAR (Constant False Alarm Rate) code, a filtering method commonly used in radar systems also known as mean-value filtering. The program includes the main execution script along with dedicated CFAR functions, complemented by noise and signal visualization plots for comprehensive comparative analysis. Key technical features implemented include: - Data preprocessing routines for preparing input radar signals, including normalization and noise floor estimation - Detailed CFAR algorithm implementation with sliding window mechanism and adaptive threshold calculation - Performance evaluation modules testing various noise environments and signal-to-noise ratio conditions - Interactive graphical interface enabling real-time parameter adjustment (guard cells, training cells, threshold factor) and immediate result visualization The code structure employs MATLAB's matrix operations for efficient sliding window processing, utilizing functions like movmean for reference window averaging and threshold comparison operations. The implementation supports both CA-CFAR (Cell-Averaging CFAR) and OS-CFAR (Ordered-Statistics CFAR) variants through configurable parameters. The expanded functionality provides comprehensive radar signal processing capabilities with enhanced flexibility for different operational scenarios.