摘要
In this study,based on the actual channel measurements of the high-speed railway(HSR) in a viaduct scenario at 2.35 GHz,a hybrid cluster delay line(CDL) channel modeling technology which combines a statistical model and a theoretical model is proposed.This novel channel-characterization approach is used to reveal the statistical properties for ‘‘random'' scattering and to provide a geometric mechanism for computing the timevariant paths for ‘‘periodically moving'' scattering.Using a modified clustering algorithm in the delay domain,the inter-cluster and intra-cluster characteristics against the distance between the transmitter and the receiver were extracted and analyzed.In addition,the measurement results were compared with some conclusions from other measurement studies,and the proposed channel model was validated by comparing the simulated results with the measurement data.The study results provide a useful technique for the evaluation and verification of wireless communications in the HSR environment.
In this study, based on the actual channel measurements of the high-speed railway （HSR） in a via- duct scenario at 2.35 GHz, a hybrid cluster delay line （CDL） channel modeling technology which combines a statistical model and a theoretical model is proposed. This novel channel-characterization approach is used to reveal the statistical properties for ＂random＂ scattering and to provide a geometric mechanism for computing the time- variant paths for ＂periodically moving＂ scattering. Using a modified clustering algorithm in the delay domain, the inter-cluster and intra-cluster characteristics against the distance between the transmitter and the receiver were extracted and analyzed. In addition, the measurement results were compared with some conclusions from other measurement studies, and the proposed channel model was validated by comparing the simulated results with the measurement data. The study results provide a useful technique for the evaluation and verification of wireless communications in the HSR environment.
基金
supported in part by the National Natural Science Foundation of China(61032002 and 61371070)
Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(2012D07)
