Graph-based stochastic model for high-speed railway cutting scenarios
(2015)
Journal Article
Zhou, T., Tao, C., Salous, S., Tan, Z., Liu, L., & Tian, L. (2015). Graph-based stochastic model for high-speed railway cutting scenarios. IET Microwaves, Antennas and Propagation, 9(15), 1691-1697. https://doi.org/10.1049/iet-map.2014.0827
This study proposes a stochastic channel model based on the propagation graph theory for high-speed railway (HSR) cutting scenarios. Single-input single-output wideband measurements are conducted under a cutting for acquiring realistic channel data.... Read More about Graph-based stochastic model for high-speed railway cutting scenarios.