Statistics channel computing method based on asymmetric spatial structure and non-uniform scatterers

Abstract

The invention discloses a computing method for comprehensively improving spatial statistics channels for an asymmetric spatial structure evenly provided with non-uniform scatterers, wherein mobile communication environments such as macro cells and micro cells can be estimated accurately, flexibly and conveniently, and estimation accuracy of channel parameters such as the reaching angle and reaching time of electromagnetic signals and the channel capacity performance in an MIMO system can be improved effectively. The statistics channel computing method based on the asymmetric spatial structure and the non-uniform scatterers is achieved based on an asymmetric spatial statistics channel model, wherein the asymmetric spatial statistics channel model comprises a mobile station and a base station, a directional antenna is arranged in the base station, and all the scatterers are distributed in a fan-shaped scattering area covered by the antenna of the base station in a non-uniform mode and meet the Gaussian distribution mode or exponential distribution mode. The statistics channel computing method comprises the steps of computing a distribution density function expression of polar coordinates of the scatterers, computing a probability density function of the reaching angle and the reaching time, and computing the channel capacity.

Description

technical field [0001] The invention belongs to the technical field of multi-antenna MIMO channel modeling, and in particular relates to a statistical channel calculation method based on an asymmetrical space structure and distributed with non-uniform scatterers. Background technique [0002] Mobile communication is a technology that uses wireless channels for information transmission. The wireless channel is easily affected by various noises, interference and other channel factors, and the system is subject to great uncertainty due to the user's movement and channel dynamics, which seriously affects the communication efficiency and quality. Therefore, the wireless channel must become a A reliable high-speed communication medium has severe challenges, and the research on wireless channels has been concerned and valued by researchers for many years. Establishing a wireless channel model that accurately describes channel multipath effects is also an important basis for analyz...

AI Technical Summary

Problems solved by technology

However, in the actual environment, due to the design and use of directional antennas in the system, the signal coverage area is asymmetrical, especially in various indoor environments, such as open factories, offices, metalworking workshops and corridors. Irregular shapes and factors with very different dielectric properties may cause the channel environment to present a non-uniform distribution of scatterers and asymmetry of the distribution environment

However, for the mobile communication environment with an asymmetric spatial structure with non-uniform scatterers, there is still a lack of clear physical concepts and statistical channel simulation models in real space at home and abroad.

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