Radar Signal Processing with MATLAB

In radar signal processing, MATLAB serves as a widely adopted tool with comprehensive capabilities for signal processing, data visualization, and algorithm development. For signal processing applications, MATLAB enables functionalities such as filtering (using functions like filter() or designfilt() for FIR/IIR implementations), target detection (through CFAR algorithms with phased.CFARDetector), and tracking systems (utilizing tracking filters like KalmanFilter or trackers such as trackerGNN). In algorithm development, MATLAB provides extensive toolboxes including Image Processing Toolbox for SAR imagery analysis, Neural Network Toolbox for pattern recognition, and Machine Learning Toolbox for classification tasks, allowing developers to rapidly prototype algorithms through script-based workflows and Simulink integrations. Key functions like phased.RadarTarget, phased.ULA, and signal processing functions (fft, stft) facilitate realistic radar system simulations. Overall, MATLAB represents a powerful computational environment extensively employed in radar signal processing domains for both research and industrial applications.