Constant False Alarm Rate Detection, CFAR

This document introduces a highly practical signal processing technique - Constant False Alarm Rate (CFAR) detection. This technique can be effectively implemented using MATLAB programming environment. CFAR detection operates by dynamically adjusting detection thresholds based on surrounding noise statistics, making it particularly valuable across various application domains including data processing, image recognition, and audio signal analysis. The MATLAB implementation typically utilizes sliding window algorithms where reference cells estimate noise power while guard cells prevent target energy contamination. Through CFAR processing, we can achieve more accurate analysis and handling of diverse data types while maintaining consistent false alarm probabilities. In practical applications, CFAR detection has been widely adopted in radar systems, sonar processing, and biomedical signal analysis, demonstrating proven effectiveness through its adaptive threshold calculation mechanism that compares cell-under-test statistics against trained noise distribution models.