Modulation Recognition of Signal Based on Statistical Principal Component Feature Parameters

The instantaneous feature parameters of received signal are extracted using digital signal processing, the eliminating correlation and dimensionality reduction for these feature parameters are realized using the principal component analysis approach. The classification and recognition of modulation of signal are designed by template matching of statistical pattern recognition. The simulation results show the approach proposed in this paper is efficient.