Radar System Modeling and Simulation

In radar system modeling and simulation, MATLAB enables comprehensive simulation of various radar types including pulse compression radar, Doppler radar, phased array radar, SAR radar, and ISAR radar. Each radar type possesses distinct characteristics and application scenarios. For instance, pulse compression radar (implemented using matched filtering techniques like Barker codes or linear FM chirps) is commonly used for range and velocity measurement, while Doppler radar (utilizing FFT-based frequency analysis) is suitable for target speed measurement and tracking. Phased array radar (modeled through array factor calculations and beamforming algorithms) can achieve high-precision target localization and imaging. SAR (Synthetic Aperture Radar) and ISAR (Inverse Synthetic Aperture Radar) systems employ sophisticated signal processing techniques like range-Doppler algorithms and backprojection to achieve high-resolution ground target imaging through synthetic aperture technology. Therefore, using MATLAB for radar system modeling and simulation helps researchers better understand the principles and applications of different radar types, facilitating the design of radar systems that meet specific requirements through practical code implementation and parameter optimization.