The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문은 사막, 지형, 해수면 등 임의의 거친 표면에 송신기와 수신기가 임의로 분포되어 있는 경우의 무선 통신 거리 추정에 관한 것입니다. 먼저, 최근 저자들이 제안한 DRTM(Discrete Ray Tracing Method)을 사용하여 거친 표면을 따라 전자기파 전파를 시뮬레이션합니다. 둘째, 최소제곱법과 결합된 공액 기울기법(CGM)을 통해 세 가지 매개변수를 결정합니다. 마지막으로 송신기의 입력전력과 수신기의 최소 검출 가능한 전기강도를 지정하였을 때 최대 통신거리를 추정할 수 있는 분석식을 도출하였다. 무작위 거친 표면은 가우스, pn차 거듭제곱 법칙 또는 지수 분포로 가정됩니다.
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부
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
부
@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},}
부
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 -