Signal Interference Simulation: Noise Frequency Modulation, Video Noise, and Noise Phase Modulation Interference

Noise frequency modulation interference and video noise are common issues in communication and electronic systems. These interfering signals can degrade device performance, cause communication disruptions, or reduce signal quality. Noise frequency modulation interference refers to frequency-modulated signals being affected by external noise, leading to signal distortion or transmission failure. In simulation implementations, this can be modeled using MATLAB's Communications Toolbox with functions like fmmod for modulation and awgn to add Gaussian noise, where interference analysis typically involves evaluating signal-to-noise ratio (SNR) degradation and spectral analysis. Video noise refers to interference caused by noise in the signal transmission path during video signal transmission, resulting in reduced video quality. This can be simulated using image processing techniques where noise models (e.g., salt-and-pepper, Gaussian) are applied to video frames using functions like imnoise in MATLAB, followed by quality metrics such as PSNR (Peak Signal-to-Noise Ratio) calculations. Noise phase modulation interference occurs when phase-modulated signals are disturbed by external noise, causing signal distortion or transmission failure. Simulation of phase modulation interference can be implemented using functions like pmmod for phase modulation combined with noise injection, where key analysis includes phase error measurements and constellation diagram visualization. To mitigate these interference problems, noise suppression measures are typically required, such as implementing digital filters (e.g., using filter or fdesign in MATLAB for low-pass or band-pass filtering) or enhancing signal strength through amplification techniques in simulation models.