MATLAB Code Implementation for Phase Noise Simulation

The phase noise simulation program serves as a valuable tool for superimposing phase noise onto sine waves. By implementing this program using MATLAB's signal processing capabilities, users can model and investigate the effects of noise on their experiments or research studies. The core algorithm typically involves generating random phase fluctuations using MATLAB's randn function or more sophisticated noise models, then applying these perturbations to the carrier signal through complex exponential operations. Users can experiment with varying degrees of phase noise intensity by adjusting parameters like noise variance or spectral characteristics, systematically recording results from each simulation run. This approach facilitates better understanding of experimental outcomes and provides insights into handling different noise types in research applications, ultimately enhancing the accuracy, reliability, and utility of your scientific investigations. Key implementation aspects include proper sampling rate selection, frequency domain analysis using FFT, and phase modulation techniques to ensure realistic noise simulation.