Paper Abstract and Keywords |
Presentation |
2016-01-14 14:45
[Invited Lecture]
Statistical Model Utilizing Ray-Tracing for Indoor Radio Propagation Prediction Takahiro Hashimoto, Yasuhiro Nishioka, Yoshio Inasawa, Hiroaki Miyashita (Mitsubishi Electric Corp.) AP2015-174 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In order to improve accuracy of the statistical models in indoor propagation characteristics, we propose an estimation method of propagation loss. In this method, we classify receiving points into multiple groups utilizing the number of reflections and diffractions calculated by ray-tracing, and then apply independent statistical model to the each group. First, we make proposed statistical models from measurements of propagation loss in an office. We examine number of classification and order for receiving points, and show that extraction and classification using order of the 1 time reflection, 2 times reflections, 1 time diffraction is appropriate. Second, we verify the proposed method in 3 offices different from the office of creating the statistical models by comparing proposed method with conventional models (one slope, dual slope, multi-wall, partitioned). The mean estimation error of NLOS (3.7 dB) has more accuracy than the conventional methods. Therefore the proposed method is effective to indoor propagation loss estimation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
indoor propagation / office floor / propagation loss / statistical model / ray-tracing / space classification / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 390, AP2015-174, pp. 37-42, Jan. 2016. |
Paper # |
AP2015-174 |
Date of Issue |
2016-01-07 (AP) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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AP2015-174 |
Conference Information |
Committee |
AP |
Conference Date |
2016-01-14 - 2016-01-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Takushoku University, Hachiouji Campus |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Antenna and Propagation |
Paper Information |
Registration To |
AP |
Conference Code |
2016-01-AP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Statistical Model Utilizing Ray-Tracing for Indoor Radio Propagation Prediction |
Sub Title (in English) |
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Keyword(1) |
indoor propagation |
Keyword(2) |
office floor |
Keyword(3) |
propagation loss |
Keyword(4) |
statistical model |
Keyword(5) |
ray-tracing |
Keyword(6) |
space classification |
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1st Author's Name |
Takahiro Hashimoto |
1st Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric Corp.) |
2nd Author's Name |
Yasuhiro Nishioka |
2nd Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric Corp.) |
3rd Author's Name |
Yoshio Inasawa |
3rd Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric Corp.) |
4th Author's Name |
Hiroaki Miyashita |
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Mitsubishi Electric Corporation (Mitsubishi Electric Corp.) |
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Speaker |
Author-1 |
Date Time |
2016-01-14 14:45:00 |
Presentation Time |
25 minutes |
Registration for |
AP |
Paper # |
AP2015-174 |
Volume (vol) |
vol.115 |
Number (no) |
no.390 |
Page |
pp.37-42 |
#Pages |
6 |
Date of Issue |
2016-01-07 (AP) |
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