Estimation of Radio Communication Distance along Random Rough Surface
Summary :
This paper is concerned with the estimation of radio communication distance when both the transmitter and receiver are arbitrarily distributed on a random rough surface such as desert, terrain, sea surface and so on. First, we simulate electromagnetic wave propagation along the rough surface by using the discrete ray tracing method (DRTM) proposed by authors recently. Second, we determine three parameters by conjugate gradient method (CGM) combined with the method of least-squares. Finally, we derive an analytical expression which can estimate the maximum communication distance when the input power of a transmitter and the minimum detectable electric intensity of a receiver are specified. Random rough surfaces are assumed to be Gaussian, pn-th order power law or exponential distributions.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E93-C No.1 pp.39-45
- Publication Date
- 2010/01/01
- Publicized
- Online ISSN
- 1745-1353
- DOI
- 10.1587/transele.E93.C.39
- Type of Manuscript
- Special Section PAPER (Special Section on Recent Progress in Electromagnetic Theory and Its Application)
- Category
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Junichi HONDA, Kazunori UCHIDA, Kwang-Yeol YOON, "Estimation of Radio Communication Distance along Random Rough Surface" in IEICE TRANSACTIONS on Electronics,
vol. E93-C, no. 1, pp. 39-45, January 2010, doi: 10.1587/transele.E93.C.39.
Abstract: This paper is concerned with the estimation of radio communication distance when both the transmitter and receiver are arbitrarily distributed on a random rough surface such as desert, terrain, sea surface and so on. First, we simulate electromagnetic wave propagation along the rough surface by using the discrete ray tracing method (DRTM) proposed by authors recently. Second, we determine three parameters by conjugate gradient method (CGM) combined with the method of least-squares. Finally, we derive an analytical expression which can estimate the maximum communication distance when the input power of a transmitter and the minimum detectable electric intensity of a receiver are specified. Random rough surfaces are assumed to be Gaussian, pn-th order power law or exponential distributions.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E93.C.39/_p
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@ARTICLE{e93-c_1_39,
author={Junichi HONDA, Kazunori UCHIDA, Kwang-Yeol YOON, },
journal={IEICE TRANSACTIONS on Electronics},
title={Estimation of Radio Communication Distance along Random Rough Surface},
year={2010},
volume={E93-C},
number={1},
pages={39-45},
abstract={This paper is concerned with the estimation of radio communication distance when both the transmitter and receiver are arbitrarily distributed on a random rough surface such as desert, terrain, sea surface and so on. First, we simulate electromagnetic wave propagation along the rough surface by using the discrete ray tracing method (DRTM) proposed by authors recently. Second, we determine three parameters by conjugate gradient method (CGM) combined with the method of least-squares. Finally, we derive an analytical expression which can estimate the maximum communication distance when the input power of a transmitter and the minimum detectable electric intensity of a receiver are specified. Random rough surfaces are assumed to be Gaussian, pn-th order power law or exponential distributions.},
keywords={},
doi={10.1587/transele.E93.C.39},
ISSN={1745-1353},
month={January},}
Copy
TY - JOUR
TI - Estimation of Radio Communication Distance along Random Rough Surface
T2 - IEICE TRANSACTIONS on Electronics
SP - 39
EP - 45
AU - Junichi HONDA
AU - Kazunori UCHIDA
AU - Kwang-Yeol YOON
PY - 2010
DO - 10.1587/transele.E93.C.39
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E93-C
IS - 1
JA - IEICE TRANSACTIONS on Electronics
Y1 - January 2010
AB - This paper is concerned with the estimation of radio communication distance when both the transmitter and receiver are arbitrarily distributed on a random rough surface such as desert, terrain, sea surface and so on. First, we simulate electromagnetic wave propagation along the rough surface by using the discrete ray tracing method (DRTM) proposed by authors recently. Second, we determine three parameters by conjugate gradient method (CGM) combined with the method of least-squares. Finally, we derive an analytical expression which can estimate the maximum communication distance when the input power of a transmitter and the minimum detectable electric intensity of a receiver are specified. Random rough surfaces are assumed to be Gaussian, pn-th order power law or exponential distributions.
ER -
English
