Dynamic Channel Modeling for Static Mobile Terminals in Indoor NLOS Environments

Spatial correlation of receive antennas of indoor static mobile terminal

“…We analysed the probability density function, autocorrelation function and power spectrum of the received signal as indicated by the proposed model and clarified that the analysis results were good agreement with the measurement results [2]- [5]. Thus the proposed model has been confirmed to be valid.…”

“…We assume that the number of paths is N path and that the path levels absorbed by the k th moving person are η k (x 0 ) and η k (x 0 +Δd), respectively. Received levels E(x 0 ) and E(x 0 +Δd) at Ant#1 and Ant#2 can be written as follows [2].…”

“…In order to accurately evaluate these communication characteristics, a new channel model is necessary for static MTs indoors [1]. In response to this need, we proposed a simple physical channel model for static MTs indoors [2]. This proposed model represented moving people as a disk with diameter of Δw.…”

“…Fig. 1 shows the basic concept of the proposed model [2]. It consists of two environments as shown in Fig.…”

Data analysis and modeling method for indoor human body-shadowing MIMO channels

“…Fujii et al [9][10] measured the received signal level variation characteristics in the indoor environment in which the rays arrived from almost all direction. In the case that pedestrians exist in the room, the signal level distribution corresponded to Nakagami-Rice distribution.…”