Angular Characteristics Prediction of Radio Propagation Channel from Point Cloud Data by Aperture Field Integration Method

With the recent growth of computing resources, the construction of large-scale cyber-physical systems (CPS) becomes feasible, and they are expected to be an indispensable infrastructure for future product development. In the CPS, the physical information is gathered and utilized for the simulation in the virtual space. And finally, they will be utilized for various smart managements of the physical system. Because wireless communication is now an essential function in many systems, the simulation technique of the propagation channel becomes quite important. There are several types of research that utilize the point cloud data of the environment for the radio propagation simulation. However, the usage of the point cloud data is not so straightforward because it generally includes large noise, and points are not taken at constant spacing. It prevents from generating surface mesh data which is needed in the simulation. In this paper, we propose the channel prediction method by the aperture field integration method (AFIM) approach. In the proposed method, the spatial spectrum of the surface electric current is calculated, the scattering waves are represented by the superposition of several plane waves. The noise of point cloud data can be eliminated by filter.