Geometry-Based Stochastic Modeling and Estimation of Vehicle to Vehicle Channels
Paper in proceedings, 2014

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).


Sajjad Beygi

University of Southern California

Erik Ström

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Urbashi Mitra

University of Southern California

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

15206149 (ISSN)

4289-4293 6854411

Areas of Advance

Information and Communication Technology


Driving Forces

Sustainable development

Subject Categories


Communication Systems

Signal Processing





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