MATLAB Simulation of Peak Detection Combined with CA-CFAR Detector

In this project, we aim to simulate a detector that combines peak detection with CA-CFAR using MATLAB. Peak detection is a widely used method in radar signal processing that identifies targets and suppresses clutter by detecting local maxima in signals. CA-CFAR integrates Cell Averaging (CA) and Constant False Alarm Rate (CFAR) techniques to further enhance detector performance. During the simulation process, we will implement key algorithms including: - Peak detection algorithm using MATLAB's findpeaks() function or custom threshold-based approaches - CA-CFAR implementation with guard cells and reference window configuration - Parameter tuning for window size, false alarm rate, and detection thresholds We will adjust various parameters such as window size and false alarm probability to study the detector's performance across different scenarios. The simulation will include performance evaluation metrics including: - Receiver Operating Characteristic (ROC) curve analysis - Probability of detection vs. Signal-to-Noise Ratio (SNR) comparisons - Computational efficiency assessment This project aims to provide deeper understanding of these detection methods and offer additional insights and inspiration for radar signal processing research. The MATLAB implementation will demonstrate practical code structures for implementing combined detection algorithms with configurable parameters and performance visualization capabilities.