4.3 Article

Non-geometrical stochastic model for non-stationary wideband vehicular communication channels

期刊

IET COMMUNICATIONS
卷 14, 期 1, 页码 54-62

出版社

WILEY
DOI: 10.1049/iet-com.2019.0532

关键词

wireless channels; delays; statistical analysis; stochastic processes; correlation methods; mobile radio; nonstationary wideband vehicular communication channels; nongeometrical stochastic model for nonstationary; line-of-sight component; widely used uniformly distributed tap phase; different delays; existing NGSM; different taps; Doppler power spectral density; vehicular channels

资金

  1. Ministry National Key Research and Development Project [2017YFE0121400]
  2. Major Project from Beijing Municipal Science and Technology Commission [Z181100003218007]
  3. National Science and Technology Major Project [2018ZX03001031]
  4. open research fund of Key Laboratory of Wireless Sensor Network Communication [2017003]
  5. Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences
  6. National Natural Science Foundation of China [61622101, 61571020]

向作者/读者索取更多资源

In this study, the authors propose a new non-geometrical stochastic model (NGSM) for non-stationary wideband vehicular communication channels. To include the line-of-sight component, the proposed model first generates a non-uniformly distributed tap phase, which can be obtained from the widely used uniformly distributed tap phase. Moreover, the proposed model can practically experience variable types of Doppler spectra for different delays by modifying the autocorrelation function used in the existing NGSM. In consideration of the non-stationarity in the frequency domain of vehicular communication channels, the authors further consider that the amplitude and phase of different taps are correlated. To evaluate the performance of the proposed model, they derive some significant statistical properties in terms of the power delay profile, tap correlation coefficient matrix and Doppler power spectral density. It is demonstrated that in comparison with the existing NGSMs, the proposed model possesses the ability to better mimic characteristics of real vehicular channels. Finally, the excellent agreement is achieved between the simulation results and the corresponding measured data, confirming the accuracy of the proposed model.

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