Modulation Format Identification Technology Based on a Searching Cluster Boundary Clustering Algorithm

In this study, a modulation format identification (MFI) scheme based on a searching cluster boundary (SCB) algorithm is designed for space optical communication. Particularly, we design a clustering algorithm based on local low-density samples as the boundaries of clusters and use the boundary to distinguish different clusters; this is unaffected by the distribution of samples in the clusters. The SCB algorithm was applied to MFI, and a verification experiment for space optical communication was performed. The experimental results show that the SCB algorithm achieves good results with clusters of different shapes and the designed MFI scheme can accurately identify modulation formats of different orders with few symbols.

Automated summary

In this study, a modulation format identification (MFI) scheme based on a searching cluster boundary (SCB) algorithm is proposed for space optical communication. The SCB algorithm uses a clustering algorithm based on local low-density samples as the boundaries of clusters to accurately identify different modulation formats. Experimental results show that the SCB algorithm achieves good results with clusters of different shapes, demonstrating the effectiveness of the designed MFI scheme in identifying modulation formats of different orders with few symbols.