De-multiplexing based on complex ICA for mode group diversity multiplexing system

In order to mitigate the crosstalk in mode group diversity multiplexing (MGDM) system, the fixed-point complex ICA algorithm (T-CMN) based on negative entropy maximization is proposed to implement de-multiplexing in a 2 ×\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\times $$\end{document} 2 MGDM system in which two QAM signals are transmitted. The performance of this algorithm is compared with the DD-LMS (Decision-directed Least Mean Square Algorithm). The results indicate that the T-CMN algorithm separates the signals successfully and achieves a better de-multiplexing performance than DD-LMS.