DocumentCode
2948650
Title
A non-stationary MIMO vehicle-to-vehicle channel model based on the geometrical T-junction model
Author
Chelli, Ali ; Pätzold, Matthias
Author_Institution
Fac. of Eng. & Sci., Univ. of Agder, Grimstad, Norway
fYear
2009
fDate
13-15 Nov. 2009
Firstpage
1
Lastpage
5
Abstract
In this paper, we derive a non-stationary multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) channel model from the geometrical T-junction model. The propagation environment is assumed to be extremely non-isotropic. The proposed channel model takes into account double-bounce scattering from fixed scatterers. Due to the movement of the transmitter and the receiver, the angles of departure (AoD) and the angles of arrival (AoA) are time-variant, which makes our model non-stationary. In order to study the statistical properties of the proposed channel model, we make use of the Choi-Williams distribution. Analytical solutions are provided for the generalized local autocorrelation function (ACF), the time-frequency distribution, and the local space cross-correlation function (CCF). The proposed channel model is very useful for the design and analysis of future MIMO V2V communication systems.
Keywords
MIMO communication; direction-of-arrival estimation; mobile communication; wireless channels; Choi-Williams distribution; arrival angles; autocorrelation function; cross-correlation function; departure angles; double-bounce scattering; geometrical T-junction model; non-stationary MIMO vehicle-to-vehicle channel model; propagation environment; time-frequency distribution; Autocorrelation; Automotive engineering; Fading; MIMO; Road accidents; Scattering; Solid modeling; Stochastic processes; Time frequency analysis; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4856-2
Electronic_ISBN
978-1-4244-5668-0
Type
conf
DOI
10.1109/WCSP.2009.5371438
Filename
5371438
Link To Document