Non-stationarity Characterization for Vehicle-to-vehicle Channels Using Correlation Matrix Distance and Shadow Fading Correlation
Vehicle-to-Vehicle (V2V) radio channels have been considered as non-stationary due to the dynamic scatterers in V2V environments. To characterize its stationarity is of great importance as it determines the time-variant V2V channel statistics. Therefore, we analyze the non-stationarity of V2V radio channels using two metrics: the correlation matrix distance (CMD) and the shadow fading correlation. The analysis is based on the measurements conducted in a suburban area of Finland at 5.3 GHz. We use the Aalto channel sounder and a 30 × 4 MIMO system. The power delay profile (PDP), CMD, and shadowing are estimated from the measured channel impulse responses. The equivalent stationarity distance is found to be around 6 m, and it is observed that regions with large delay spreads correspond to smaller stationarity regions. The shadow fading auto-correlation coefficient is found to follow an exponential decay model and the decorrelation distance is considered as the shadowing-based equivalent stationarity distance. Based on the comparison of the equivalent stationarity distances estimated by the two metrics, it is found that the CMD metric is more sensitive to the changes of direction-of-arrival/departure, whereas the shadowing metric takes only into account the power variations over time. We also note that the estimation of shadowing metric is close to the results from CMD. This shows that the shadow correlation can also be used to characterize the non-stationarity of radio channels.
Ruisi He Olivier Renaudin Veli-Matti Kolmonen Katsuyuki Haneda Zhangdui Zhong Bo Ai Claude Oestges
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China Institute for Information and Communication Technologies, Electronics and Applied Mathematics Univer Philips Medical Systems, MR, Finland Department of Radio Science and Engineering, Aalto University, Aalto, Finland State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
国际会议
Progress in Electromagnetics Research Symposium 2014(2014年电磁学研究新进展学术研讨会)
广州
英文
2144-2148
2014-08-01（万方平台首次上网日期，不代表论文的发表时间）