Optical power real-time monitoring system based on convex optimization

Abstract

The invention discloses an optical power real-time monitoring system based on convex optimization. The system is implemented according to the following steps of: firstly, inputting a monitored optical signal into an adjustable optical filter for filtering; carrying out optical power measurement to obtain an output optical power signal; and finally, restoring the power spectrum of the monitored optical signal from the output optical power signal after measurement, wherein the specific restoring process is as follows: converting a restoring problem into a convex optimization problem by utilizing a digital signal processing method, rapidly solving so as to realize the restoring process, and finally displaying the restored power spectrum of the optical signal on display equipment. The optical power real-time monitoring system based on convex optimization has the advantages of economy, accuracy and instantaneity, and can be used for monitoring the power of the optical signal in optical fiber communication.

Description

technical field [0001] The invention relates to the field of optical fiber communication, in particular to an optical power real-time monitoring system. Background technique [0002] At present, optical fiber communication has become one of the main means of information transmission. With the rapid development of broadband services, triple play and other applications, users have higher and higher requirements for communication service quality, which makes the capacity of optical fiber communication systems continue to expand, and the maintenance and management requirements for optical fiber lines are also continuously improved. In various monitoring and maintenance systems for optical fiber lines, optical power monitoring (optical power monitoring, OPM) is one of the most widely used functions. [0003] There are currently two methods for realizing optical power monitoring: the first method is to add some gratings to separate the optical signals of different wavelengths whe...

AI Technical Summary

Problems solved by technology

However, with the increase in the amount of communication data, the narrowing of the channel interval and the high-density characteristics of the spectrum of the wavelength division multiplexing channel, the accuracy of the results recovered by the least squares method is not high, while the sparse recovery requires a large amount of calculation and the recovery time is relatively slow. Long, can not meet the requirements of fast recovery

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