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Hierarchical classifier constructing problems for radio-photon sensor systems based on addressable fiber Bragg structures

Abstract

Hierarchical classifier constructing problems for radio-photon sensor systems based on addressable fiber Bragg structures

Sakhabutdinov A.Z.

Incoming article date: 23.08.2018

Radio-photon sensor systems represent a wide range of measurement information systems that use today's standardized parallel and sequential type optical analog chains with filtering, which allows to functionally display information received in the optical range in the radio frequency. One of the main, most widely used elements in the RPSS, which solves the problems of forming, filtering and measuring the conversion of optical radiation, including for the stage of further generation of radio-frequency carriers, is the fiber Bragg grating. The cumulative analysis made it possible to propose for the design of RFSSS a new class of sensors - address fiber Bragg structures (AFBS) constructed on the basis of FBG with two symmetrical discrete phase shifts or two identical FBGs potentially having improved metrological and technical and economic characteristics, as well as enhanced functionality compared with existing, widely used resonance sensors, based on the effects of Bragg and Fabry-Perot in fiber optics. AFBS, by its designation, should become a multifunctional element of the RPSS that act as sensors, formers of two-frequency optical radiation, the basis for generating in each of them a unique difference radio frequency carrying measurement information, which is also the address for their multiplexing. This made it possible to propose a new, separate class of the RPSS, which was named "Radiophotonic sensor systems on adressed fiber Bragg structures", the hierarchical classifier for the creation of which was the main subject of this article.

Keywords: radio-photon sensor system, addressed fiber Bragg structure, integrated fiber-optic sensor, interrogation, multiplexing, hierarchical classifier of construction problems, system approach