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, and comprises the following steps of: extracting complete frame data at a receiving end, performing downsampling and amplitude normalization on the complete frame data, and nonlinearly mapping the complete frame data into a Walterra series matrix by adopting a sliding window mode; calculating a weighted covariance matrix of the Woltzia series matrix by using the first weight vector, carrying out eigenvalue decomposition on the weighted covariance matrix, forming a principal component projection matrix by using a part of eigenvectors with the maximum eigenvalue, and multiplying the Woltzia series matrix by the principal component projection matrix to obtain a principal component matrix; performing weighted summation on each principal component in the principal component matrix by using the second weight vector to obtain an output signal subjected to nonlinear equalization; wherein the first weight vector is used for representing the weight of each Walterra kernel corresponding to the same sliding window, and the second weight vector is used for representing the weight of each principal component. According to the invention, the complexity can be reduced and the equalization performance deterioration can be avoided.

Description

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AI Technical Summary

Benefits of technology

This patented technology describes an improved technique called "Wavelength Division Multiplex (WDM),". It involves performing multiple rounds of training before starting up again without stopping work altogether. By analyzing the received signals from different sources at both ends, we get feedback about how well this system works properly even if there are many samples being processed simultaneover within one cycle. Additionally, our proposed solution allows us to evaluate the quality of equalizing overcomes issues such as reduced accuracy due to increased delays caused by waiting until all relevant measurements have been completed. Overall, these improvements improve the efficiency and reliability of the wired communications systems used throughout various industries like telecommunications and computer networks.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency and accuracy of long-term lightwave communications over shorter distances without increasing their overall size or requiring expensive equipment. Current methods involve directly modulating signals onto wires, but these techniques have limitations when applied to longer connections because it requires more energy than necessary. To address this issue, there was proposed a technique called Direct Modulated Laser Displacement Technology (DMLT). DMFT uses two types of cohering technologies: direct mode and indirect mode. These techniques aimed towards reducing delays associated with long-lastings while also enhancing transmission capabilities through efficient utilizing available resources like electrical domains.

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