
For FullText PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.

Statistical Model Using GeometricalOptical Space Classification: Expansion of Applicable Frequencies to the 5 GHz Band
Takahiro HASHIMOTO Takayuki NAKANISHI Yoshio INASAWA Yasuhiro NISHIOKA Hiroaki MIYASHITA
Publication
IEICE TRANSACTIONS on Electronics
Vol.E101C
No.2
pp.135138 Publication Date: 2018/02/01
Online ISSN: 17451353
DOI: 10.1587/transele.E101.C.135
Type of Manuscript: BRIEF PAPER Category: Electromagnetic Theory Keyword: indoor propagation, office floor, propagation loss, statistical model, raytracing, space classification,
Full Text: PDF(430.3KB) >>Buy this Article
Summary:
The method for estimating propagation loss that classifies receiving points into multiple groups by focusing on the number of reflections and diffractions, and applies a separate statistical model to each group was extended from only 2.4 GHz band to both 2.4 GHz and 5 GHz band. The extended statistical model was created from received power measurements. First, an appropriate grouping method was investigated based on the fitting error of statistical model. Nonlineofsight (NLOS) receiving points were grouped in order of points that a wave reflected one time reaches, points that a wave reflected two times reaches, and points that a wave diffracted one time reaches. Next, the effectiveness of the proposed method was verified by comparison with conventional statistical models (oneslope, dualslope, multiwall, partitioned) on three office floors that differ from the environment used to create the statistical model. The average NLOS estimation error for the three evaluation environments was 4.9 dB, demonstrating that the proposed method has accuracy equal to or better than that of conventional methods.

