Method for calculating linearity and conversion efficiency of all-optimal sampling based on polynomial fitting

Abstract

The invention provides a method for calculating the linearity and conversion efficiency of all-optical sampling based on polynomial fitting. In the method, a least square fitting polynomial function of a sampling transmission curve is utilized to represent an all-optical sampling system, and sampling harmonic distortion and the conversion efficiency are calculated through the mathematical substitution of the polynomial function and a double angle formula of a trigonometric function so as to realize the representation of the linearity and conversion efficiency of the all-optimal sampling. The method has the characteristics of simple calculation process, accurate result and easy hardware realization, and also has the advantages of providing means for quickly and accurately representing and evaluating all-optical sampling performance indexes and having vast application prospect in all-optical signal processing and the sampling measurement and quality monitoring of optical network signals.

Description

technical field [0001] The invention belongs to the field of all-optical signal processing, and in particular relates to a calculation method for linearity and conversion efficiency of an all-optical sampling system. Background technique [0002] All-optical sampling is an all-optical signal conversion technology, which utilizes the modulation effect of the sampled analog signal light on the sampled pulse light to obtain the intensity-modulated sampled light output, and realizes the real-time acquisition and measurement of analog light information. Such as figure 1 As shown, a sampling pulse with a high repetition rate and equal amplitude is input to port 1 of the all-optical sampling system, and the sampled analog signal light is input to port 2, and a sampling pulse output whose intensity varies with the analog signal light can be obtained at port 3. All-optical sampling technology can be used in high-speed signal conversion and processing systems, and it has a good appli...

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Problems solved by technology

[0004] The method of fitting the transmission curve with a straight line is the linearity of the transmission curve itself, not the linearity of the real sensing system or sampling system, so the straight line fitting method has limitations and deficiencies; the Fourier transform method uses Fourier convolution Comparing and analyzing the spectrum of the input signal and the output signal, since the output sampling pulse contains two kinds of spectrum components of the pulse itself and the amplitude envelope, it is necessary to remove the spectrum of the pulse itself in order to obtain the spectrum comparison between the input analog signal and the output pulse envelope. The analytical results of the method are accurate, but the measurement or calculation process is very cumbersome, and the instrument cost is high

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