Large-scale city-oriented channel modeling simulation method based on propagation graph theory

Abstract

The invention relates to a large-scale city-oriented channel modeling simulation method based on a propagation graph theory, and the method specifically comprises the following steps: S1, obtaining a city map, building a scatterer of an environment structure according to the form of a set of scattering points, and forming a digital map; S2, acquiring a surface loss factor and a density factor of the scatterer, dividing the digital map into a plurality of sub-regions according to the density factor, and judging mutually visible scattering points; S3, adjusting the scatter density of the scatter points according to the surface loss factor and the density factor to obtain random numbers on a two-dimensional plane where the digital map is located, and randomly scattering the scatter points according to the random numbers and the scatter density; and S4, taking scatter points subjected to random point scattering by applying a one-dimensional random number method, simulating by a method of repeating simulation for multiple times and then averaging to obtain channel parameters with statistical characteristics, and establishing a channel model. Compared with the prior art, the invention has the advantages of improving the application range of channel modeling based on the transmission graph theory and the like.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a large-scale city-oriented channel modeling and simulation method based on propagation graph theory. Background technique [0002] The traditional channel modeling method based on propagation graph theory is a digital map through a given area information, including the position and moving speed of the transmitter and receiver, the position of typical scatterers in the area, electromagnetic characteristics, and time-varying characteristics. Thus, a propagation diagram is generated, and then channel impulse responses in the time domain, space domain, and frequency domain are obtained through stochastic process matrix operations, so that a deterministic model of the channel is obtained. The modeling object of traditional propagation graph theory is mainly a small-scale indoor environment, which has the characteristics of simple structure, small amount of data, and we...

AI Technical Summary

Problems solved by technology

The modeling object of traditional propagation graph theory is mainly a small-scale indoor environment, which has the characteristics of simple structure, small amount of data, and weak randomness, while the urban environment is often complex in structure, large in amount of data, and strong in randomness.

Therefore, the traditional propagation graph theory cannot be directly used when facing a large-scale urban environment, and corresponding improvements need to be made

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