Conference
Statistical modeling of the railway electromagnetic environment for jamming detection
| العنوان: | Statistical modeling of the railway electromagnetic environment for jamming detection |
|---|---|
| المؤلفون: | Mili, Souheir, Deniau, Virginie, Sodoyer, David, Heddebaut, Marc |
| المساهمون: | Laboratoire Électronique Ondes et Signaux pour les Transports (IFSTTAR/COSYS/LEOST), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Lille Nord de France, RP20C12051, EC/FP7/285136/EU/SECurity of Railways against Electromagnetic aTtacks/SECRET |
| المصدر: | 1st URSI Atlantic Radio Science Conference (URSI ATRASC) https://hal.science/hal-01263502 1st URSI Atlantic Radio Science Conference (URSI ATRASC), May 2015, Gran Canaria, Spain. 1p |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | ELECTROMAGNETIC ATTACK, JAMMER, BROUILLEUR, TRANSPORT FERROVIAIRE, DETECTION, PERTURBATION ELECTROMAGNETIQUE, RESILIENCE, SECURITE, TRANSMISSION DES DONNEES, GSM-R, RISQUE TERRORISTE, [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism |
| جغرافية الموضوع: | Gran Canaria, Spain |
| الوصف: | 1st URSI Atlantic Radio Science Conference (URSI ATRASC), Gran Canaria, ESPAGNE, 18-/05/2015 - 22/05/2015 ; These last years, GSM-R (global system for mobile communication - railway) was developed and widely implemented in Europe as a unique standard to exchange voice communication, signaling information and control data between trains and ground control centers. To effectively carry out this mission, it is vital to ensure the resilience of the GSM-R radio link against electromagnetic interferences coming from unintentional but also intentional sources. Considering this requirement, the European project 'SECRET', SECurity of Railways against Electromagnetic aTtacks implements perturbation detection methods. One of the developed methods exploits a statistical modeling based on the electromagnetic (EM) spectrum evolution. It uses a supervised detection method to identify EM perturbations based on the knowledge of the EM environments and using the probabilistic density function (p.d.f). The goal is to use these methods to set up, on demand, adjusted countermeasures ensuring a better resilience of the railway system against external EM perturbations. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| الاتاحة: | https://hal.science/hal-01263502 |
| رقم الانضمام: | edsbas.ED511954 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |