Radar System Modeling and Simulation

This article discusses radar system modeling and simulation. After receiving radar signals, various waveforms are generated throughout the signal processing chain. These waveforms include: the original echo waveform, IF waveform after intermediate frequency amplification, I/Q waveforms following coherent detection (typically implemented using Hilbert transforms or quadrature mixing), compressed pulse waveform after pulse compression processing (often using matched filtering algorithms), MTI waveform after moving target indication cancellation (implemented through delay-line cancellers), coherent integration waveform (achieved via pulse-Doppler processing), magnitude waveform after envelope detection (calculated as sqrt(I² + Q²)), and CFAR waveform after constant false alarm rate processing (using cell-averaging or ordered-statistics algorithms). These waveforms are crucial in radar system modeling and simulation as they enable validation of model accuracy and performance metrics. Therefore, studying these waveforms and their characteristics is essential for understanding radar system operation and signal processing implementations.