A Novel Estimated Wideband Geometry-Based Vehicle-to-Vehicle Channel Model Using an AoD and AoA Estimation Algorithm

In this paper, we propose an estimated wideband geometry-based channel model for vehicle-to-vehicle (V2V) communication environments, which is based on an angle of departure (AoD) and angle of arrival (AoA) estimation algorithm, to determine the ellipse scattering region and to efficiently study the V2V channel characteristics for different propagation delays, i.e., per-tap channel statistics. In the first stage, we estimate the AoD and AoA for the first tap. In this case, the ellipse-scattering region for the first tap can be determined. Then, we estimate the ellipse channel models for other taps based on the estimated model parameters for the first tap. Furthermore, the spatial cross-correlation functions (CCFs) are derived and thoroughly investigated for different propagation delays. The excellent agreement is achieved between the proposed channel statistics and prior results and measurements.