Cluster Association for 3D Environment Based on 60 GHz Indoor Channel Measurements

Abstract

In this paper, we present a ray tracing (RT) assisted multipath cluster association method. This work is based on an indoor channel measurement at 60 GHz, where a light detection and ranging (LiDAR) sensor was co-located with channel sounder and time-synchronized point cloud was captured to describe environmental information. Based on the point cloud, a 3D environment is reconstructed and fed into RT simulation. Then multipath components (MPCs) estimated from the measured channel and that from the RT are clustered, respectively. A novel cluster association algorithm is then proposed to associate the clusters between the measurements and RT. The interaction objects in the 3D environment can be found through this association. From cluster association results, we can better understand the relationship between measured radio channel, environment, and channel characteristics in an automatic manner. As an example, the indoor multi-bounce scattering and composite channel parameters are investigated.