Analysis of AM, FM and PM Signals Using Second-Order Cyclostationary Spectrum

This MATLAB-based implementation analyzes second-order cyclostationary spectra of Amplitude Modulation (AM), Frequency Modulation (FM), and Phase Modulation (PM) signals under different noise environments. The noise conditions include white Gaussian noise, colored noise, non-Gaussian noise, and sinusoidal interference. The algorithm employs spectral correlation density functions to detect cyclostationary features, which are particularly effective for identifying modulation characteristics in noisy conditions. Users can modify signal parameters such as modulation index, carrier frequency, and noise power spectral density through configurable variables in the code. Key functions include cyclostationary signal generation modules, noise generation algorithms, and spectral correlation calculators. By adjusting these parameters, researchers can analyze signal behavior across various noise scenarios, helping to better understand signal characteristics in different interference environments and enabling robust signal detection and classification capabilities.