@article{(Open Science Index):https://publications.waset.org/pdf/10002095, title = {Robust Adaptation to Background Noise in Multichannel C-OTDR Monitoring Systems}, author = {Andrey V. Timofeev and Viktor M. Denisov}, country = {}, institution = {}, 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.}, journal = {International Journal of Computer and Information Engineering}, volume = {9}, number = {9}, year = {2015}, pages = {2076 - 2080}, ee = {https://publications.waset.org/pdf/10002095}, url = {https://publications.waset.org/vol/105}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 105, 2015}, }