K-K-coherent-reception-based modulation format recognition method

Abstract

The invention provides a K-K-coherent-reception-based modulation format recognition method. The method comprises: S1, determining an output wavelength and a power of a local oscillator laser device; and S2, restoring a signal constellation point by using K-K coherent reception and a corresponding channel damage compensation algorithm and determining a corresponding modulation format. The K-K-coherent-reception-based modulation format recognition method can be applied to blind detection of a single polarization signal modulation format type in a new-generation optical elastic network. On the one hand, only one PD is needed to complete signal reception; and compared with the traditional modulation format recognition plan, the K-K-coherent-reception-based modulation format recognition methodenables the implementation cost and complexity to be reduced substantially; and on the other hand, the signal amplitude and phase are restored based on the K-K algorithm and the algorithm is implemented simply; and almost all modulation formats can be identified.

Description

technical field [0001] The invention relates to the technical field of optical communication network parameter monitoring, in particular to a signal modulation format identification method under a new generation of elastic optical network. Background technique [0002] Compared with the traditional optical network, the new generation of optical network has new characteristics of high speed, high spectral efficiency, flexible modulation format application, and dynamic reconfigurable network. For optical performance monitoring, regardless of the monitoring method and monitoring parameters In terms of categories, new requirements have been put forward. The modulation format is one of the new monitoring contents proposed in the new generation optical network. On the one hand, at the transmitting end, the optical network needs to select the type of modulation format of the transmitted signal according to the dynamic routing and channel quality (with OSNR as the evaluation index)...

AI Technical Summary

Problems solved by technology

There are currently several identification schemes in the world, including: (1) Constellation diagram analysis method based on k-means clustering algorithm, which can identify commonly used single Carrier modulation format, but a complete set of coherent receiving equipment is required. The implementation cost of this method is too high to deploy the monitoring module in the middle network node; (2) The method based on pre-trained artificial neural network analysis

This classification method can identify almost all single-carrier modulation formats, but the artificial neural network needs to be pre-trained, and the algorithm complexity is too high; (3) Principal component analysis based on asynchronous delay-tap graphs, which requires a lot of numerical calculations and storage; (4) A monitoring method based on Stokes space and machine learning technology. This method is not sensitive to factors such as polarization aliasing, carrier frequency offset, and phase offset. Similar to scheme (1), a complete set of The Stokes receiving equipment, the implementation cost is relatively high

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