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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Main Authors: Kazunori Uchida, Masafumi Takematsu, Jun-Hyuck Lee, Junichi Honda
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.3233/MIS-130185
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spelling 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
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AT masafumitakematsu parameterestimationforpropagationalongrandomroughsurfacebyusinglineofsightdata
AT junhyucklee parameterestimationforpropagationalongrandomroughsurfacebyusinglineofsightdata
AT junichihonda parameterestimationforpropagationalongrandomroughsurfacebyusinglineofsightdata
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