Non-stationary V2V MIMO channel modeling method based on geometry

Abstract

The invention relates to a non-stationary V2V MIMO channel modeling method based on geometry. The method comprises the following steps in sequence: establishing a V2V double-loop scattering model; establishing a channel impulse response between the V2V MIMO channel transmitting antenna 1 and the V2V MIMO channel receiving antenna k according to the V2V double-loop scattering model; and according to the geometrical relationship among the mobile transmitting end, the mobile receiving end and the scatterer, time-varying channel parameters of the arrival angle, the departure angle, the Doppler phase shift and the propagation distance of the electric wave are derived. The non-WSS channel model established in the invention is the extension of a stationary double-loop model, and can simulate thenon-stationarity of a V2V channel in a time delay domain and a space domain; parameters such as a scatterer concentration factor, an angle mean value, a vehicle moving speed and an antenna array direction angle comprehensively act on channel statistical characteristics and non-stationary characteristics; the V2V non-stationary channel modeling method is enriched, and the statistical property and non-stationary research of the channel has a practical application value for V2V communication system design and evaluation.

Description

technical field [0001] The invention relates to the technical field of V2V non-stationary channel modeling, in particular to a geometry-based non-stationary V2V MIMO channel modeling method. Background technique [0002] A V2V channel model that effectively describes the characteristics of the communication environment and signal transmission characteristics is crucial for the optimization and evaluation of the wireless communication system of the Internet of Vehicles. However, there are serious differences between the traditional Fixed-to-Mobile (F2M) cellular wireless channel model and the V2V channel model in application scenarios: one is that the vehicles at both ends of the V2V communication system are in motion, and the other is that The antenna height of the mobile transmitter in the V2V communication system is much lower than that of the F2M system. Therefore, the traditional F2M cellular model cannot be directly used to analyze the channel transmission characterist...

AI Technical Summary

Problems solved by technology

The above model assumes that the scatterers are distributed with a von Mises probability density function, so that the Angle of Arrival (AOA) and the Angle of Departure (AOD) are time-invariant. However, in the

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