MATLAB Implementation of Interrupted Sampling Repeater Jamming with Smart Noise

This paper introduces a MATLAB-implemented interrupted sampling repeater jamming technique utilizing smart noise. This technology enhances data transmission efficiency and security while maintaining communication reliability. The smart noise design employs sophisticated waveform generation algorithms to reduce signal interception probability, thereby improving data security. The implementation involves creating noise patterns that mimic legitimate signals while containing disruptive elements, typically achieved through custom MATLAB functions for waveform synthesis and modulation. The interrupted sampling technique utilizes strategic sampling intervals controlled by timer functions and sampling rate parameters to minimize energy consumption during data transmission, thus optimizing efficiency. This approach implements digital signal processing algorithms that selectively capture and retransmit signal segments while incorporating noise injection at calculated intervals. The paper provides detailed methodology covering key implementation components including signal generation functions, sampling control algorithms, and noise injection mechanisms. Performance evaluation metrics and application prospects for modern communication systems are thoroughly discussed, with emphasis on practical implementation considerations for real-world deployment.