scholarly journals Algorithm of FBG Spectrum Distortion Correction for Optical Spectra Analyzers with CCD Elements

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2817
Author(s):  
Vladimir Anfinogentov ◽  
Kamil Karimov ◽  
Artem Kuznetsov ◽  
Oleg G. Morozov ◽  
Ilnur Nureev ◽  
...  

Nonlinear spectrum distortions are caused by the peculiarities of the operation of charge-coupled device elements (CCD), in which the signal exposition time (Time of INTegration–TINT) is one of the significant parameters. A change of TINT on a CCD leads to a nonlinear distortion of the resulting spectrum. A nonlinear distortion of the spectrum, in turn, leads to errors in determining the central wavelength of fiber Bragg gratings (FBGs) and spectrally sensitive sensors, which, in general, negatively affects the accuracy of the measuring systems. This paper proposes an algorithm for correcting the nonlinear distortions of the spectrum obtained on a spectrum analyzer using CCD as a receiver. It is shown that preliminary calibration of the optical spectrum analyzer with subsequent mathematical processing of the signal makes it possible to make corrections in the resulting spectrum, thereby leveling the errors caused by measurements at different TINT.

Author(s):  
Vladimir Anfinogentov ◽  
Kamil Karimov ◽  
Artem Kuznetsov ◽  
Ilnur Nureev ◽  
Airat Sakhabutdinov ◽  
...  

Abstract: Nonlinear spectrum distortions are caused by the peculiarities of the operation of charge-coupled device elements (CCD), in which the signal exposition time (TINT) is one of the significant parameters. A change of TINT on a CCD leads to a nonlinear distortion of the resulting spectrum. Nonlinear distortion of the spectrum, in its turn, leads to errors in determining the central wavelength of Fiber Bragg Gratings (FBG) and spectrally sensitive sensors, which, in general, negatively affects the accuracy of measuring systems. The paper proposes an algorithm for correcting nonlinear distortions of the spectrum obtained on a spectrum analyzer using CCD as a receiver. It is shown that preliminary calibration of the optical spectrum analyzer with subsequent mathematical processing of the signal makes it possible to make corrections in the resulting spectrum, thereby leveling the errors caused by measurements at different TINT.


2021 ◽  
Author(s):  
Hong Dang ◽  
Linqi Chen ◽  
Huanhuan Liu ◽  
Jinna Chen ◽  
Luoyuan Liao ◽  
...  

Instruments ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 16 ◽  
Author(s):  
Ram Narayanan ◽  
Kyle Gallagher ◽  
Gregory Mazzaro ◽  
Anthony Martone ◽  
Kelly Sherbondy

Radio frequency (RF) circuit elements that are traditionally considered to be linear frequently exhibit nonlinear properties that affect the intended operation of many other RF systems. Devices such as RF connectors, antennas, attenuators, resistors, and dissimilar metal junctions generate nonlinear distortion that degrades primary RF system performance. The communications industry is greatly affected by these unintended and unexpected nonlinear distortions. The high transmit power and tight channel spacing of the communication channel makes communications very susceptible to nonlinear distortion. To minimize nonlinear distortion in RF systems, specialized circuits are required to measure the low level nonlinear distortions created from traditionally linear devices, i.e., connectors, cables, antennas, etc. Measuring the low-level nonlinear distortion is a difficult problem. The measurement system requires the use of high power probe signals and the capability to measure very weak nonlinear distortions. Measuring the weak nonlinear distortion becomes increasingly difficult in the presence of higher power probe signals, as the high power probe signal generates distortion products in the measurement system. This paper describes a circuit design architecture that achieves 175 dB of dynamic range which can be used to measure low level harmonic distortion from various passive RF circuit elements.


2017 ◽  
Vol 25 (15) ◽  
pp. 17600 ◽  
Author(s):  
A. Yu. Tkachenko ◽  
I. A. Lobach ◽  
S. I. Kablukov

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