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Modulation format recognition and OSNR estimation combined method for density clustering

A modulation format and density clustering technology, applied in the field of modulation identification in coherent optical communication, can solve the problem of high complexity, and achieve the effect of reducing complexity and wide application

Active Publication Date: 2020-03-27
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0009] The purpose of the present invention is to propose a joint method of density clustering modulation format identification and OSNR estimation for the technical defects of high complexity existing in the existing joint method of modulation format identification and OSNR estimation

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  • Modulation format recognition and OSNR estimation combined method for density clustering
  • Modulation format recognition and OSNR estimation combined method for density clustering
  • Modulation format recognition and OSNR estimation combined method for density clustering

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Embodiment 1

[0048] This embodiment describes the specific implementation process of the joint method of density clustering modulation format identification and OSNR estimation of the present invention.

[0049] to attach figure 1 The schematic diagram is used to build a simulation system to generate signals of five commonly used modulation formats (PDM-QPSK, PDM-8PSK, PDM-16QAM, PDM-32QAM, PDM-64QAM) under different OSNR conditions, and generate multiple signals by changing the PRBS at the transmitter. The data of the mode is transmitted through links of different distances (PDM-QPSK signal transmission 4000km, PDM-8PSK signal transmission 2000km, PDM-16QAM signal transmission 1000km, 32QAM signal transmission 500km, PDM-64QAM signal transmission 500km). Follow steps 1 and 2 to generate digital communication signals to be processed.

[0050] For the digital communication signal to be processed generated in step 2, perform steps 3.1 and 3.2 to generate the time-domain constellation diagra...

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Abstract

The invention relates to a modulation format recognition and OSNR estimation combined method for density clustering, and belongs to the technical field of modulation recognition in coherent light communication. The method comprises the following steps: constructing a time domain constellation diagram by using two paths of signals of coherent received data, identifying data clustering clusters meeting a preset density threshold based on a density clustering method of DBSCAN, and dividing a judgment threshold to identify a modulation format of the received data by using the number of the clustering clusters as a factor of modulation format identification; and calculating the proportion of the data meeting the density threshold in the total data, and performing high-order polynomial fitting by utilizing the density information to realize OSNR estimation. Accurate identification and OSNR low-error estimation can be performed on QPSK, 8PSK, 16QAM, 32QAM and 64QAM without a large amount of training data. The method has the potential of low system complexity and real-time monitoring of signals, and has application prospects in bit error rate calculation and linear and nonlinear damage monitoring.

Description

technical field [0001] The invention relates to a joint method of density clustering modulation format identification and OSNR estimation, belonging to the technical field of modulation identification in coherent optical communication. Background technique [0002] Since the 21st century, with the rapid development of the information industry, people have a great demand for the immediacy and richness of information acquisition, and put forward higher demands for the global network. Ultra-high-speed optical fiber communication technology is the most important carrier of today's Internet, core network, metropolitan area network and access network, and the improvement of system capacity is imminent. For the traditional Wavelength Division Multiplexing (WDM), the spectrum can only be divided into fixed spectrum grids of 50GHz or 100GHz, which is poorly adaptable to signals of various rates, resulting in spectrum fragmentation and spectrum resources at the same time. Great waste...

Claims

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Application Information

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IPC IPC(8): H04L27/00H04B10/61
CPCH04B10/61H04B10/616H04L27/0012
Inventor 杨爱英赵昭郭芃卢继华
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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