Parameter Estimation for Propagation along Random Rough Surface by Using Line of Sight Data
This paper is concerned with a numerical procedure to estimate two parameters, amplitude modification factor α and propagation order of distance β, for electromagnetic (EM) propagation in complicated natural environments such as random rough surface (RRS). These two parameters are key parameters whe...
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Online Access: | http://dx.doi.org/10.3233/MIS-130185 |
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doaj-6a6bbfa0286348959b4c841f6a7081582021-07-02T08:44:01ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2014-01-0110330731910.3233/MIS-130185Parameter Estimation for Propagation along Random Rough Surface by Using Line of Sight DataKazunori Uchida0Masafumi Takematsu1Jun-Hyuck Lee2Junichi Honda3Department of Information and Communication Engineering, Fukuoka Institute of Technology, Higashi-Ku, Fukuoka, JapanGraduate School of Engineering, Fukuoka Institute of Technology, Higashi-Ku, Fukuoka, JapanGraduate School of Engineering, Fukuoka Institute of Technology, Higashi-Ku, Fukuoka, JapanSurveillance and Communications Department, Electronic Navigation Research Institute, Tokyo, JapanThis paper is concerned with a numerical procedure to estimate two parameters, amplitude modification factor α and propagation order of distance β, for electromagnetic (EM) propagation in complicated natural environments such as random rough surface (RRS). These two parameters are key parameters when we simulate field distributions along various types of RRS based on 1-ray model. We assume that the former parameter α can be evaluated by the visual planar angles of illuminated lines in case of 1D RRS and by the visual solid angles of illuminated planes in case of 2D RRS. We also assume that the latter parameter β can be estimated not only by base station (BS) antenna height, similar to Okumura-Hata model simulating EM propagation in urban and suburban areas, but also by mobile station (MS) antenna height. In order to demonstrate validity of the proposed parameter estimation, we compare the numerical field distributions obtained by the 1-ray model using estimated two parameters with those computed by discrete ray tracing method (DRTM) which is an effective EM field solver. It is shown that both numerical results are in good agreement.http://dx.doi.org/10.3233/MIS-130185 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kazunori Uchida Masafumi Takematsu Jun-Hyuck Lee Junichi Honda |
spellingShingle |
Kazunori Uchida Masafumi Takematsu Jun-Hyuck Lee Junichi Honda Parameter Estimation for Propagation along Random Rough Surface by Using Line of Sight Data Mobile Information Systems |
author_facet |
Kazunori Uchida Masafumi Takematsu Jun-Hyuck Lee Junichi Honda |
author_sort |
Kazunori Uchida |
title |
Parameter Estimation for Propagation along Random Rough Surface by Using Line of Sight Data |
title_short |
Parameter Estimation for Propagation along Random Rough Surface by Using Line of Sight Data |
title_full |
Parameter Estimation for Propagation along Random Rough Surface by Using Line of Sight Data |
title_fullStr |
Parameter Estimation for Propagation along Random Rough Surface by Using Line of Sight Data |
title_full_unstemmed |
Parameter Estimation for Propagation along Random Rough Surface by Using Line of Sight Data |
title_sort |
parameter estimation for propagation along random rough surface by using line of sight data |
publisher |
Hindawi Limited |
series |
Mobile Information Systems |
issn |
1574-017X 1875-905X |
publishDate |
2014-01-01 |
description |
This paper is concerned with a numerical procedure to estimate two parameters, amplitude modification factor α and propagation order of distance β, for electromagnetic (EM) propagation in complicated natural environments such as random rough surface (RRS). These two parameters are key parameters when we simulate field distributions along various types of RRS based on 1-ray model. We assume that the former parameter α can be evaluated by the visual planar angles of illuminated lines in case of 1D RRS and by the visual solid angles of illuminated planes in case of 2D RRS. We also assume that the latter parameter β can be estimated not only by base station (BS) antenna height, similar to Okumura-Hata model simulating EM propagation in urban and suburban areas, but also by mobile station (MS) antenna height. In order to demonstrate validity of the proposed parameter estimation, we compare the numerical field distributions obtained by the 1-ray model using estimated two parameters with those computed by discrete ray tracing method (DRTM) which is an effective EM field solver. It is shown that both numerical results are in good agreement. |
url |
http://dx.doi.org/10.3233/MIS-130185 |
work_keys_str_mv |
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1721334280160804864 |