In this paper, the correlation matrix distance (CMD) metric is employed to characterize the non-stationarity of the Vehicle-to-Vehicle (V2V) channel under three different driving states, namely following, overtaking and meeting. The analysis is based on measurements carried out at 5.9 GHz using a single-input multiple-output (SIMO) system. Firstly, the spatial structure of V2V channel under three different driving states is analyzed through power angle spectrum (PAS). Subsequently, based on the analysis results of CMD, we further calculate the quasi-stationary distance for the three different driving states. The analysis results indicate that the quasi-stationary distance can effectively reflect the spatial structural changes in the V2V channel. Moreover, the statistical characteristics of the quasi-stationary distance for the three driving states are also characterized. The analysis reveals that among the three driving states, the V2V channel in the following driving state exhibits the highest stationarity, followed by overtaking driving states. Compared to the meeting state, the V2V channel in overtaking exhibits greater stationarity.
Characterization of Quasi-Stationarity Regions for V2V Channels in Various Driving States
2024-06-24
1693866 byte
Conference paper
Electronic Resource
English
Optical solitons Quasi-stationarity versus Lie transform
British Library Online Contents | 2003
|Stability and stationarity in target kinematic modeling
IEEE | 2012
|