公开(公告)号：US09906963B2

公开(公告)日：2018-02-27

申请号：US15605788

申请日：2017-05-25

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Jianhua Zhang ,  Yujie Yang ,  Lei Tian ,  Ping Zhang

IPC: H04W40/00 ,  H04W16/22 ,  H04L12/24

CPC classification number: H04W16/22 ,  H04L41/142 ,  H04L41/16

Abstract: The present disclosure provides a big-data-mining-based wireless channel modeling method comprising: obtaining image information of a measurement environment and a channel impulse response data sample under a preset condition; obtaining at least one multipath wave and a channel parameter of each of the multipath wave according to the channel impulse response data sample using a channel parameter estimation algorithm; and clustering the at least one multipath wave according to the channel parameter of each of the multipath wave using a clustering algorithm to obtain at least one cluster; obtaining at least one scattering object in the measurement environment according to the image information of the measurement environment; matching each of the cluster with each of the scattering object to obtain a cluster kernel which is a cluster matching with the scattering object; establishing, a base wireless channel model under the preset condition according to all of the cluster kernel.