Modulation Recognition Algorithm for OFDM and Single-Carrier Signals under Rayleigh Channel Conditions

The development of modulation recognition algorithms for OFDM and single-carrier signals under Rayleigh fading channel conditions represents a significant research challenge. Through original research and comprehensive analysis of both modulation schemes, I have developed an improved recognition algorithm that demonstrates superior performance in complex channel environments. The algorithm implementation involves advanced signal processing techniques including cyclostationary feature extraction and higher-order statistical analysis to distinguish between OFDM's multi-carrier characteristics and single-carrier modulation patterns. Key algorithmic components include adaptive threshold detection for signal classification and robust feature extraction methods that maintain accuracy despite channel impairments. Experimental results confirm that this algorithm significantly enhances recognition accuracy and stability while maintaining computational efficiency through optimized matrix operations and parallel processing implementation. These research findings contribute valuable insights to the advancement of modulation recognition techniques for next-generation wireless communication systems.