Radar System Signal Processing Simulation with Multi-False Target Generation and Jamming

Radar system signal processing simulation enables the generation of multiple false targets and jamming scenarios, effectively replicating real-world radar signal processing conditions. This simulation approach assists researchers in comprehensively understanding and analyzing radar system performance while developing effective countermeasures against various jamming situations. Through simulation experiments, different target characteristics including intensity, velocity, and angular parameters can be modeled, along with diverse jamming types and intensity levels, yielding comprehensive radar system performance evaluation results. From an implementation perspective, the simulation typically involves MATLAB or Python code structures that: - Generate realistic radar echoes using signal processing algorithms like matched filtering and pulse compression - Create false targets through digital radio frequency memory (DRFM) techniques or deception jamming simulations - Implement jamming models including noise jamming, deceptive jamming, and cover pulse jamming - Utilize radar cross-section (RCS) modeling for varying target strengths - Incorporate Doppler processing for velocity simulation and beamforming for angular positioning Key functions in such simulations often include: - target_generator() for creating realistic radar targets with customizable parameters - jamming_simulator() for implementing various electronic countermeasure scenarios - signal_processor() handling pulse compression, CFAR detection, and tracking algorithms - performance_evaluator() assessing detection probability and false alarm rates under different conditions Therefore, radar system signal processing simulation serves as a vital tool that provides significant references and guidance for radar system design and optimization, particularly in developing robust anti-jamming strategies and performance validation frameworks.