OFDM Channel Estimation Using Cyclostationary Spectrum Analysis

This program performs OFDM channel estimation by analyzing the cyclostationary characteristics of OFDM signals using cyclic spectrum analysis. The implementation involves three key computational stages: first, conducting cyclostationarity detection on the received OFDM signal to identify periodic statistical properties; second, employing cyclic spectrum analysis methods to extract spectral correlation features from the signal; and finally, utilizing these cyclic spectral characteristics to estimate the OFDM channel parameters. The core algorithm employs FFT-based spectral correlation calculations and cyclic frequency detection to capture the inherent periodicity in OFDM signals arising from cyclic prefix insertion. Through this methodology, we can more accurately characterize OFDM channel properties, providing valuable reference data for subsequent communication system design and optimization. The implementation includes functions for cyclic autocorrelation computation, spectral correlation density estimation, and channel response extraction based on cyclic frequency components.