Radar Digital Signal Processing Using MATLAB

This tutorial focuses on designing classical radar digital signal processing systems using MATLAB. The system processes radar target echoes, detects targets from noise, and extracts target range, velocity, and angle information. The tutorial is organized into five comprehensive sections: Section One: Radar LFM Signal Analysis. This section provides an in-depth study of fundamental radar signal characteristics and LFM signal construction methods. You will learn to analyze different types of LFM signals using MATLAB, including code implementation for signal parameter optimization to achieve better performance. Key MATLAB functions include chirp generation and frequency modulation analysis. Section Two: Pulse Compression Processing. This section covers the fundamental principles of pulse compression signals and their MATLAB implementation. You will learn to select appropriate filters and modulate pulse compression signals using MATLAB's signal processing toolbox, focusing on matched filter design and convolution operations for improved processing results. Section Three: Coherent Integration Processing. This section teaches how to enhance radar system performance through coherent integration methods. We explore the basic principles of coherent integration and demonstrate MATLAB implementation using phased array system toolbox functions, including Doppler processing and phase compensation techniques. Section Four: Constant False Alarm Rate (CFAR) Processing. This section introduces conventional CFAR processing principles and their MATLAB implementation. You will learn to select appropriate CFAR algorithms and adjust parameters using statistical processing functions, including cell-averaging CFAR implementations and threshold optimization for better detection performance. Section Five: Target Information Extraction Processing. This section covers methods for extracting target information from radar echo signals. We explore extraction techniques for target range, velocity, and angle parameters, demonstrating MATLAB implementation using range-Doppler processing and angle estimation algorithms. The focus includes algorithm selection and parameter optimization for optimal performance using MATLAB's radar processing functions.