Regression models of ultra wideband ground reflection path loss based on peak power loss

被引：1

作者：

Supanakoon, Pichaya ^{[1
,3
]}

Pokang, Apiradee ^{[1
]}

Promwong, Sathaporn ^{[1
,3
]}

Noppanakeepong, Suthichai ^{[2
,3
]}

Takada, Jun-Ichi ^{[4
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabung, Dept Informat Engn, Fac Engn, Bangkok 10520, Thailand

[2] King Mongkuts Inst Technol Ladkrabung, Fac Engn, Dept Telecommun Engn, Bangkok 10520, Thailand

[3] King Mongkuts Inst Technol Ladkrabung, Res Ctr Commun & Informat Technol, Bangkok 10520, Thailand

[4] Tokyo Inst Technol, Grad Sch Sci & Engn, Tokyo 152, Japan

来源：

2007 ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS | 2007年

关键词：

D O I：

10.1109/APCC.2007.4433493

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, the regression models of ultra wideband (UWB) ground reflection path loss are proposed. The UWB ground reflection path loss is defined as the ratio between the maximum amplitude of the transmitted and received signal waveforms. The polarizations of transmitted signal and ground characteristics are considered. The double and triple linear regression models are derived from the closed form expression of ground reflection path loss based on peak power loss. The regression models are shown and compared with the closed form expression. From the results, the double and triple linear regression models are appropriate for conductor and dielectric grounds, respectively. Therefore, these proposed regression models are the one choice for modeling the UWB ground reflection path loss.

引用

页码：15 / +

页数：2

共 50 条

[41] UWB Path Loss Models for Ingestible Devices
Perez-Simbor, Sofia
Andreu, Carlos
Garcia-Pardo, Concepcion
Frasson, Matteo
Cardona, Narcis
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2019, 67 (08) : 5025 - 5034
[42] Asymptotics for Regression Models Under Loss of Identifiability
Rynkiewicz, Joseph
SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, 2016, 78 (02): : 155 - 179
[43] Asymptotics for Regression Models Under Loss of Identifiability
Rynkiewicz J.
Sankhya A, 2016, 78 (2): : 155 - 179
[44] Path loss models with distance-dependent weighted fitting and estimation of censored path loss data
Karttunen, Aki
Gustafson, Carl
Molisch, Andreas F.
Wang, Rui
Hur, Sooyoung
Zhang, Jianzhong
Park, Jeongho
IET MICROWAVES ANTENNAS & PROPAGATION, 2016, 10 (14) : 1467 - 1474
[45] Path Loss and Power Delay Profile Channel Models for Wireless Body Area Networks
Takizawa, Kenichi
Aoyagi, Takahiro
Li, Huan-Bang
Takada, Jun-ichi
Kobayashi, Takehiko
Kohno, Ryuji
2009 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM AND USNC/URSI NATIONAL RADIO SCIENCE MEETING, VOLS 1-6, 2009, : 2659 - +
[46] Path Loss Based Wireless Capsule Endoscope Localization Using Machine Learning Regression
Hany, Umma
Hye, Nafe Muhtasim
Akter, Lutfa
IEEE ACCESS, 2023, 11 : 124643 - 124659
[47] Ground reflection with turbulence induced coherence loss in flyover auralization
Arntzen, M.
Simons, D. G.
INTERNATIONAL JOURNAL OF AEROACOUSTICS, 2014, 13 (5-6) : 449 - 462
[48] COMPARISON OF GTD PROPAGATION MODEL WIDEBAND PATH LOSS SIMULATION WITH MEASUREMENTS
LUEBBERS, RJ
FOOSE, WA
REYNER, G
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1989, 37 (04) : 499 - 505
[49] Narrowband and wideband EMW path loss in underwater wireless sensor network
Zali, Hanisah Mohd
Mahmood, Mohd Khairil Adzhar
Pasya, Idnin
Hirose, Miyuki
Ramli, Nurulazlina
SENSOR REVIEW, 2022, 42 (01) : 125 - 132
[50] Path loss measurements with low antennas for segmented wideband communications at VHF
Pugh, Jeffrey A.
Bultitude, Robert J. C.
Vigneron, Philip J.
MILCOM 2006, VOLS 1-7, 2006, : 2033 - +

← 1 2 3 4 5 →