Constant False Alarm Rate Processing Methods in Radar Signal Detection

In statistical signal processing, this archive package presents commonly used Constant False Alarm Rate (CFAR) processing methods, particularly applied in radar signal detection. The implementation includes original programs and results for both slow-threshold and fast-threshold detection techniques. These threshold-based methods employ sophisticated algorithms like Cell-Averaging CFAR (CA-CFAR) and Ordered-Statistics CFAR (OS-CFAR) to analyze signal strength and frequency characteristics. Through these implementations, which typically involve reference window processing and adaptive threshold calculation functions, we can better understand signal features and apply them in radar signal detection systems. This enables more accurate signal detection while effectively reducing false alarms through proper guard cell management and clutter estimation. The underlying detection logic and threshold adaptation algorithms can also be extended to other domains such as image processing and audio processing, where they improve processing efficiency and accuracy through similar statistical characterization approaches.