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Geometry-Based Stochastic Modeling and Estimation of Vehicle to Vehicle Channels

Sajjad Beygi ; Erik G. Ström (Institutionen för signaler och system, Kommunikationssystem) ; Urbashi Mitra
2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, 4-9 May 2014 (1520-6149). p. 4289-4293. (2014)
[Konferensbidrag, refereegranskat]

In this paper, a geometry-based stochastic channel model (GSCM) for vehicle-to-vehicle (V2V) wireless communica- tion is developed. The channel model reveals that the channel representation in delay-Doppler domain can be divided into four regions. In each region, the V2V channel can be modeled using a hybrid sparse/diffuse (HSD) model. Prior art on hybrid channel estimation for linear time-invariant channels is extended to the time-varying case. Furthermore, the effects of pulse shape leakage are explicitly determined and compensated. Simulation results shows that exploiting the V2V channel properties in the delay-Doppler domain, yields significantly improved channel estimates over unstructured approaches (more than 10 dB gain in SNR).

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Denna post skapades 2014-03-21. Senast ändrad 2016-04-04.
CPL Pubid: 195379


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