MATLAB Implementation of CFAR Algorithm for Target Detection
MATLAB-based CFAR program implementation for effective separation of target signals from background clutter in radar systems
Explore MATLAB source code curated for "CFAR" with clean implementations, documentation, and examples.
MATLAB-based CFAR program implementation for effective separation of target signals from background clutter in radar systems
CFAR implementation code featuring radar signal processing with mean-value filtering approach, including main program, CFAR functions, noise/signal plots for comparative analysis, and parameter tuning capabilities
Implementation and analysis of Constant False Alarm Rate (CFAR) detection techniques for target identification in Synthetic Aperture Radar imagery
Constant False Alarm Rate detection implementation with MATLAB code, featuring robust performance for signal processing applications
This program provides a complete simulation framework for general Pulse Doppler (PD) radar systems, implementing key processing stages including pulse compression, Moving Target Detection (MTD), and Constant False Alarm Rate (CFAR) detection.
Calculation of classical CFAR binary detection threshold for radar detection under additive white Gaussian noise criterion with specified false alarm probability, including implementation considerations for signal processing algorithms.
MATLAB simulation of a detector combining peak detection and CA-CFAR (Cell Averaging Constant False Alarm Rate) techniques for signal processing applications
CFAR Detection Implementation for Chi-squared and Nakagami Distributions with Code Optimization Approaches
Example Implementation of CFAR Fusion Detection Algorithm with Code Integration