Constant False Alarm Rate Detection, CFAR
Constant False Alarm Rate detection implementation with MATLAB code, featuring robust performance for signal processing applications
Common Radar Signal Processing Techniques
Essential radar signal processing programs including Constant False Alarm Rate (CFAR) detection, pulse compression, and Moving Target Indication (MTI) with algorithm implementations.
Ordered Statistics Constant False Alarm Rate Detection - OS-CFAR Detector
OS-CFAR Detector with Ordered Statistics: Includes simulations of OS-CFAR detection for noise-only signals without targets, and OS algorithm simulations for target-containing signals in Rayleigh clutter environments. Some programs focus on visualization by plotting signal waveforms and detection threshold comparisons during the OS-CFAR process, while others calculate detection probability and false alarm probability metrics through statistical analysis algorithms.
CFAR Detection for Chi-squared (Nakagami) Distribution
CFAR Detection Implementation for Chi-squared and Nakagami Distributions with Code Optimization Approaches
CFAR Fusion Detection Program Example
Example Implementation of CFAR Fusion Detection Algorithm with Code Integration
CFAR Simulation for Constant False Alarm Rate Detection with Clutter Edge Analysis
Simulation of Constant False Alarm Rate (CFAR) detection methods focusing on clutter edge scenarios and multi-target environments, including algorithm implementation approaches and performance optimization strategies.
Constant False Alarm Rate (CFAR) Detection for Chi-Square Distribution (Nakagami Distribution)
CFAR Detection Implementation for Chi-Square/Nakagami Distributed Signals with Lookup Table Optimization