Autoregressive Modeling Approach for Non-Stationary Vehicular Channel Simulation

被引：1

作者：

Yusuf, Marwan ^{[1
]}

Tanghe, Emmeric ^{[1
]}

Challita, Frederic ^{[2
]}

Laly, Pierre ^{[2
]}

Martens, Luc ^{[1
]}

Gaillot, Davy P. ^{[2
]}

Lienard, Martine ^{[2
]}

Joseph, Wout ^{[1
]}

机构：

[1] Univ Ghent, Dept Informat Technol, IMEC, B-9052 Ghent, Belgium

[2] Univ Lille, Elect Dept IEMN, TELICE Grp, F-59655 Villeneuve Dascq, France

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2022年 / 71卷 / 02期

关键词：

Computational modeling; Time-frequency analysis; Doppler effect; Delays; Correlation; Technological innovation; Mathematical models; Vehicular communication; channel modeling; autoregressive; non-stationary; WIDE-BAND; VEHICLE; 5G;

D O I：

10.1109/TVT.2021.3132859

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A framework is proposed for long-term vehicular channel simulation based on the vector time-frequency autoregressive (VTFAR) model for a sparse parametric description of nonstationary multivariate random processes. Based on vehicle-to-infrastructure tunnel measurements, we estimate the VTFAR model parameters and validate the model by comparing the parametric and non-parametric spectra of the measured channel in terms of the delay spread and stationarity time. In addition, the VTFAR model stability is investigated and an approximation for the correlated scattering channel is proposed. The experimental validation shows a good agreement with RMSE of only 0.01 for the delay spread and 0.4 for the stationarity time. This approach provides an efficient alternative for non-stationary channel simulation that is measurement-based and computationally inexpensive.

引用

页码：1124 / 1131

页数：8

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