Stokes space coherent light modulation format recognition method based on DENCLUE clustering

Abstract

The invention provides a modulation format recognition method, which adopts high-order cumulant of signals in a Stokes space and clustering center points clustered based on a DENCLUE algorithm as characteristic parameters for recognizing modulation format signals; a simple decision tree classifier is adopted; the method has low computational complexity and is insensitive to optical fiber channel damage such as polarization rotation, carrier frequency deviation, carrier phase noise and the like; recognition with relatively high accuracy can be realized under the condition of low signal-to-noiseratio; the modulation format recognition method is high in fusion degree with an existing commercial optical fiber communication system and is easy to upgrade from an existing system.

Description

technical field [0001] The present invention relates to the research field of coherent optical communication systems, and more particularly relates to a Stokes spatial coherent optical modulation format identification method based on DENCLUE clustering. Background technique [0002] In recent years, cognitive optical networks with high flexibility and adaptability have attracted more and more attention from the optical communication community, and are generally considered to be one of the main choices for next-generation optical fiber communication networks. Since the cognitive optical network can adaptively select the modulation format at the transmitting end according to the specific network environment and user needs, this requires the cognitive optical receiver at the receiving end to have the function of identifying the modulation format. Although the research on modulation format recognition has been widely carried out in the field of wireless communication, in the opt...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a Stokes spatially coherent optical modulation format recognition method based on DENCLUE clustering for the defects of the prior art. It is not sensitive to fiber channel damage such as noise, and can achieve a high accuracy rate of identification in the case of a low optical signal-to-noise ratio, and has a high degree of integration with existing commercial optical fiber communication system digital signal processing algorithms, and is easy to upgrade from existing systems

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