A Nonlinear Equalization Method Based on Weighted Principal Component Analysis

Abstract

The invention discloses a nonlinear equalization method based on weighted principal component analysis, which belongs to the field of optical fiber communication. The mode maps it nonlinearly into a Voltra series matrix; the first weight vector is used to calculate the weighted covariance matrix of the Voltra series matrix, and the weighted covariance matrix is ​​decomposed into eigenvalues, and the partial eigenvectors with the largest eigenvalues ​​are The principal component projection matrix is ​​formed, and the Waltra series matrix is ​​multiplied by the principal component projection matrix to obtain the principal component matrix; the second weight vector is used to weight and sum the principal components in the principal component matrix, and the nonlinear equilibrium is obtained. The output signal of ; the first weight vector is used to represent the weight of each Voltra kernel corresponding to the same sliding window, and the second weight vector is used to represent the weight of each principal component. The present invention can reduce complexity and avoid deterioration of equalization performance.

Description

technical field [0001] The invention belongs to the field of optical fiber communication, and more particularly, relates to a nonlinear equalization method based on weighted principal component analysis. Background technique [0002] In recent years, with the popularization of various intelligent terminals and the emergence of new services, network traffic has grown explosively, and in short-distance transmission links such as data centers and access networks, new services such as big data and online video have The resulting increase in network traffic is particularly evident, putting enormous pressure on the transmission capacity of short-distance communication systems. At the same time, due to the huge number of link users such as metropolitan area network and access network, they are particularly sensitive to cost. Therefore, exploring and researching high-performance and low-cost transmission technology is a top priority for short-distance optical communication. [0003...

AI Technical Summary

Problems solved by technology

[0004] However, as the transmission capacity increases, the number of Voltera second- and third-order expansion terms to use explodes, making the hardware implementation too complex to be deployed in current short-range receivers

Although artificially removing the cross multiplication term in the Voltera series and retaining only the power term (that is, the polynomial equalizer) can significantly reduce the complexity, the lack of channel impairment related input items will lead to serious degradation of the equalization performance and cannot be improved. The transmission capacity of the communication system

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