Range Equation, Chirp Signals, Radar Waveforms, Moving Target Indication, Pulse Compression

MATLAB serves as a powerful computational platform for handling complex radar signal processing tasks including range equation calculations, chirp signal synthesis, radar waveform design, moving target indication (MTI) filtering, pulse compression implementation, coded waveform optimization, pseudorandom sequence generation, synthetic aperture radar (SAR) image formation, and radar cross section (RCS) analysis. The environment provides comprehensive toolboxes and built-in functions such as phased.Chirp for linear FM waveform generation, pulsecomp for matched filtering operations, and rcsplot for visualizing radar cross section patterns. Through MATLAB's extensive signal processing capabilities, users can efficiently simulate, analyze, and optimize these radar systems using algorithms like Fast Fourier Transform (FFT) for pulse compression, finite impulse response (FIR) filters for MTI clutter rejection, and correlation techniques for coded waveform processing. The platform enables rapid prototyping and validation of radar system parameters through interactive visualization tools and batch processing capabilities, making it indispensable for research, engineering development, and academic studies in radar technology and electromagnetic wave propagation applications.