Channel-equalization Using Joint Approximate Diagonalization of Eigen-matrices-independent Component Analysis in Polarization Division Multiplexed in Optical OFDM Systems
Feng Ping-xing① Wei Ping① Zhang Hong-bo②
①(School of Electronic Engineering,University of Electronic Science and Technology of China, Chengdu 611731, China) ②(School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
In this study, a complex-valued Joint Approximate Diagonalization of Eigen-matrices (JADE)- Independent Component Analysis (JADE-ICA) algorithm is proposed for the Polarization Division Multiplexed in Optical Orthogonal Frequency Division Multiplexing (PDM-OOFDM) systems. Generally, the Constant Modulus Algorithm (CMA) method is used to devise polarization signals in PDM-OOFDM systems. However, this method requires multiple filter coefficients update on CMA, needs more time to converge, and lead it to the polarization multiplexing singularity problem. In this paper, a method based on JADE-ICA algorithm is applied to the PDM-OOFDM systems. With this method, the signals can be separated at the sending and the receiving, which mixed with white Gaussian noise polarization components. Moreover, it improves the separation performance of the system with respect to the polarization signal, while avoiding the traditional CMA polarization multiplexing in the solution of the singularity. Simulations demonstrate the effectiveness of the proposed method to devise signals of polarization in PDM-OOFDM systems.
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