Patent ID: 11949464
Assignee: SHENZHEN RESEARCH INSTITUTE OF THE HONG KONG POLYTECHNIC UNIVERSITY
Field: Telecommunications (Electrical engineering)
Classification: CPC H | IPC H

Claim 0:
1. A dual-polarization-joint noise processing method, wherein comprising:
calculating an X noise correlation coefficient on an X polarization state of linear polarization in a horizontal direction and a Y noise correlation coefficient on a Y polarization state of linear polarization in a vertical direction respectively, the X noise correlation coefficient is configured to characterize a correlation between a training eigenvalue noise of a training discrete spectral eigenvalue and an X training discrete spectral coefficient noise of an X training discrete spectral coefficient on the X polarization state; the Y noise correlation coefficient is configured to characterize a correlation between the training eigenvalue noise and a Y training discrete spectral coefficient noise of a Y training discrete spectral coefficient on the Y polarization state; the training discrete spectral eigenvalue and the training discrete spectral coefficient are two properties of a training nonlinear frequency division multiplexing signal in a nonlinear frequency domain; the X polarization state and the Y polarization state are two polarization states of the training nonlinear frequency division multiplexing signal in a time domain;
obtaining an X non-training discrete spectral coefficient noise from an X non-training discrete spectral coefficient of the X polarization state and a Y non-training discrete spectral coefficient noise from a Y non-training discrete spectral coefficient of the Y polarization state based on a non-training eigenvalue noise of a non-training discrete spectral eigenvalue, the X noise correlation coefficient, and the Y noise correlation coefficient; the non-training discrete spectral eigenvalue, the X non-training discrete spectral coefficient, and the Y non-training discrete spectral coefficient are three properties of a non-training nonlinear frequency division multiplexing signal in the nonlinear frequency domain;
obtaining an X non-training discrete spectral coefficient after a noise compensation and a Y non-training discrete spectral coefficient after the noise compensation according to the X non-training discrete spectral coefficient noise, the Y non-training discrete spectral coefficient noise, the X non-training discrete spectral coefficient, and the Y non-training discrete spectral coefficient; the noise compensation is configured to characterize denoising information.