Abstract: A robust sequential nonparametric method is proposed
for adaptation to background noise parameters for real-time. The
distribution of background noise was modelled like to Huber
contamination mixture. The method is designed to operate as an
adaptation-unit, which is included inside a detection subsystem of an
integrated multichannel monitoring system. The proposed method
guarantees the given size of a nonasymptotic confidence set for noise
parameters. Properties of the suggested method are rigorously
proved. The proposed algorithm has been successfully tested in real
conditions of a functioning C-OTDR monitoring system, which was
designed to monitor railways.
Abstract: This paper presents development results of usage of
C-OTDR monitoring systems for rail traffic management. The COTDR
method is based on vibrosensitive properties of optical fibers.
Analysis of Rayleigh backscattering radiation parameters changes
which take place due to microscopic seismoacoustic impacts on the
optical fiber allows to determine seismoacoustic emission source
positions and to identify their types. This approach proved successful
for rail traffic management (moving block system, weigh- in-motion
system etc.).