radar signal processing
Radar Signal Processing and CFAR-Based Target Detection Using MATLAB - Image 2

Radar Signal Processing and CFAR-Based Target Detection Using MATLAB

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This MATLAB script processes raw radar data to extract range and Doppler information using FFT, followed by target detection using CA-CFAR and OS-CFAR algorithms. It visualizes the detected targets and their movement patterns.

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Description

Explore the world of radar signal processing with this comprehensive MATLAB script, designed for researchers and enthusiasts working with mmWave radar data. This package includes a well-structured MATLAB script that demonstrates key signal processing techniques, including range and Doppler FFT computations, along with advanced target detection using CFAR (Constant False Alarm Rate) algorithms.

The script processes raw radar data by extracting information from a selected receiver, applying 1D and 2D FFTs to obtain range and Doppler insights, and visualizing the results through intensity maps. To enhance target detection, it implements two powerful CFAR techniques—Cell-Averaging CFAR (CA-CFAR) and Order-Statistics CFAR (OS-CFAR)—to dynamically estimate noise levels and set adaptive detection thresholds.

The notebook contains the following key implementations:

  • Range FFT Analysis – Extracting range information from radar chirps using 1D FFT.
  • Doppler FFT Analysis – Performing a 2D FFT to analyze velocity information.
  • CA-CFAR Target Detection – Identifying potential targets based on local noise estimation.
  • OS-CFAR Target Detection – Improving detection in heterogeneous noise environments.
  • Target Tracking – Visualizing detected objects and their movement patterns.

Whether you’re a student, researcher, or industry professional, this script serves as a valuable tool for understanding radar signal processing and implementing robust target detection methods in real-world applications.

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