V2V Propagation in Mountainous Terrain: Part II - Modeling Results Conference Paper uri icon

abstract

  • This paper deals with the mathematical characterization and statistical analysis of a set of empirical Doppler spectra that were obtained from measurements of a vehicle-to-vehicle (V2V) communication channel in mountainous terrain near Provo, Utah. A reference statistical model of locally non-wide-sense stationary uncorrelated scattering (non-WSSUS) V2V channels is presented to lay the groundwork for the characterization of the measured Doppler spectra. A theoretical analysis of the reference model%27s spectral properties shows that the Doppler spectrum of non-WSSUS V2V channels is a frequency-dependent function. This theoretical observation explains the differences among Doppler spectra measured simultaneously at different carrier frequencies by transmitting a wideband multicarrier probe signal. The results presented in this paper indicate that for the measurements experiment conducted in Provo, the V2V propagation channel can be modeled by a locally non-WSSUS random process. © 2019 IEEE.
  • This paper deals with the mathematical characterization and statistical analysis of a set of empirical Doppler spectra that were obtained from measurements of a vehicle-to-vehicle (V2V) communication channel in mountainous terrain near Provo, Utah. A reference statistical model of locally non-wide-sense stationary uncorrelated scattering (non-WSSUS) V2V channels is presented to lay the groundwork for the characterization of the measured Doppler spectra. A theoretical analysis of the reference model's spectral properties shows that the Doppler spectrum of non-WSSUS V2V channels is a frequency-dependent function. This theoretical observation explains the differences among Doppler spectra measured simultaneously at different carrier frequencies by transmitting a wideband multicarrier probe signal. The results presented in this paper indicate that for the measurements experiment conducted in Provo, the V2V propagation channel can be modeled by a locally non-WSSUS random process. © 2019 IEEE.

publication date

  • 2019-01-01