A wavelength pulse width encoding and decoding method and optical encoder

Abstract

The invention discloses a wavelength pulse width encoding and decoding method and an optical encoder. The method uses wavelength and pulse width two-dimensional information to identify each user, and realizes parallel encoding in the pulse width and wavelength dimensions. The optical encoder consists of a 1×2 optical splitter, a fiber Bragg grating, and is connected through an optical fiber delay line to form an asymmetric reflection ring; parameters such as the splitting ratio of the optical splitter and the central reflection wavelength of the grating are flexible and adjustable , the maximum length of the fiber delay line is determined by the initial pulse width of the probe pulse. The method of the invention can realize arbitrary modulation of the pulse width in the optical domain, and the field programmable gate array is used at the receiving end to perform real-time pulse width measurement to complete the decoding, which can effectively release the network identification algorithm, and can ensure system performance Optical link monitoring for passive optical networks supporting large user capacity.

Description

technical field [0001] The invention belongs to the technical field of optical fiber communication, and relates to a wavelength pulse width encoding and decoding method and an optical encoder. Background technique [0002] With the large-scale advancement of "light into copper back", passive optical network is widely used in optical access network as a new and effective technology. But at the same time, with the continuous increase of the number of optical fibers in the access network, the structure becomes more and more complex, which makes it more and more important to monitor and maintain each branch link. The traditional detection and maintenance method mainly uses optical time domain reflectometer, which is suitable for point-to-point network structure, but cannot meet the monitoring requirements of point-to-multipoint access mode adopted by passive optical network system. [0003] In order to solve the problem of monitoring optical fiber links in passive optical netwo...

AI Technical Summary

Problems solved by technology

This method uses maximum likelihood estimation as the network identification algorithm, and the algorithm process is complex and difficult to implement.

[0004] The above monitoring methods have various problems in the fault monitoring of passive optical networks, especially in large user capacity networks, all kinds of problems make these technologies difficult in practical application

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