Rice Channel Simulation with Probability Distribution Functions

This documentation presents my custom-developed Rice channel simulation program, which integrates probability distribution functions to obtain classical analytical results. The simulation architecture is designed to capture the fundamental characteristics and behaviors of Rice fading channels, effectively modeling real-world communication channel transmissions. The implementation utilizes MATLAB's signal processing capabilities to generate complex Gaussian random variables representing both direct and scattered signal components. Key functions include calculating the Rice K-factor, generating Rayleigh-distributed multipath components, and implementing the probability density function (PDF) for Ricean distribution. Through the integration of probability distribution functions, the program provides enhanced characterization and analysis of channel noise and interference patterns. This approach yields more accurate and reliable classical analytical results by properly modeling the statistical properties of the Rice channel. The simulation enables deeper investigation and understanding of Rice channel dynamics, offering valuable reference material for research and applications in wireless communication systems, particularly in scenarios involving dominant line-of-sight components combined with multipath fading.