Polarization demultiplexing signal processing blind equalization method and polarization demultiplexing device

Abstract

The invention discloses a polarization demultiplexing signal processing blind equalization method and a polarization demultiplexing device, which relate to the field of optical fiber communication systems, and the device comprises a main filter, a constellation diagram demapping module, a main controller and a tap control and singularity supervision module; the tap control and singularity supervision module is used for calculating a first error and a second error according to a control instruction of the main controller, controlling and calculating a weighting error, controlling and calculating a learning factor, calculating singularity measurement, monitoring and preventing singularity convergence, calculating tap coefficient historical increment, and controlling tap updating and reversing; and self-adaptive updating of the tap coefficient of the main filter is realized. The fast polarization demultiplexing device is suitable for various modulation formats, can be compatible with an algorithm processing flow of an existing commercial DSP chip, is fast in convergence and high in precision, achieves blind adaptive equalization without singularity, and perfectly matches an application scene with fast SOP change.

Description

technical field [0001] The invention relates to the field of optical fiber communication systems, in particular to a polarization demultiplexing signal processing blind equalization method and a polarization demultiplexing device. Background technique [0002] The rapid development of traffic-intensive applications such as mobile Internet, cloud computing, and high-definition video has accelerated the arrival of the 5G communication era, and has also put forward higher requirements for the stability and capacity of optical bearer networks. With its powerful digital signal processing and linear or even nonlinear damage recovery capabilities, digital coherent optical communication has become the mainstream choice in the optical transmission system industry, and the single-channel rate has been gradually upgraded from 100G to 400G or even 800G. In order to further improve spectrum utilization efficiency and expand the capacity of coherent optical transmission systems, high baud...

AI Technical Summary

Problems solved by technology

1) The algorithm converges slowly, and it is difficult to resist large SOP changes. It is limited in some optical cables that are sensitive to lightning strikes and vibrations, such as overhead optical cables (OPGW) and other coherent optical transmission systems.

2) The constant modulus algorithm or multi-mode algorithm itself tends to converge to the local minimum by mistake, and the singularity of the algorithm will eventually cause the equalizer to output two identical signals, and the business data will be lost

3) Although increasing the adaptive step size can speed up the convergence to a certain extent, the steady-state error will also increase accordingly, so it is difficult to balance the convergence speed and convergence accuracy at the same time

4) Algorithms such as DD-LMS, independent cost analysis (ICA), and Kalman filtering (Kalman filtering) can improve the equalization performance of high-order QAM or improve the convergence speed, but their complexity is high and they are difficult to be compatible with traditional 100G coherent System design of DSP chips, and may be sensitive to frequency offset and phase noise

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