MATLAB Simulation Programs for Radar System Design

The article emphasizes that simulation serves as the fundamental basis for successful modern radar system design. Consequently, to facilitate superior radar system development, selecting a powerful simulation software platform is essential. In this regard, MATLAB stands out as an exceptional tool that enables comprehensive radar system simulation capabilities through its extensive function libraries and computational environment.

Below we present a collection of commonly used MATLAB programs covering multiple aspects of radar system simulation. Specifically, these implementations include: fundamental radar theory with mathematical modeling examples, radar detection algorithms incorporating CFAR (Constant False Alarm Rate) techniques, waveform generation functions for LFM (Linear Frequency Modulation) and phase-coded signals, ambiguity function visualization for resolution analysis, pulse compression routines using matched filtering approaches, surface and volume clutter modeling with statistical distributions, MTI filters design including delay-line cancellers, phased array beamforming and steering algorithms, target tracking implementations using Kalman filters, electronic countermeasures simulation for jamming scenarios, RCS calculation methods for various target models, high-resolution tactical SAR image formation algorithms, and digital signal processing techniques for radar applications. The provided MATLAB files incorporate practical simulation methodologies and design insights essential for effective radar system analysis and development.

In summary, this code collection aims to provide substantial assistance to engineers and researchers, enabling deeper understanding and more effective implementation of radar system simulation and design methodologies through practical MATLAB examples and computational approaches.