Low-cost GNSS-R altimetry on a UAV for water-level measurements at arbitrary times and locations

Kaoru Ichikawa, Takuji Ebinuma, Masanori Konda, Kei Yufu

研究成果: ジャーナルへの寄稿記事

抄録

Together with direct Global Navigation Satellite System (GNSS) signals, the signals reflected at the water surface can be received by an unmanned aerial vehicle (UAV). From the range difference between two GNSS signal paths, the height of the UAV above the water level can be geometrically estimated using the weighted least squares method, called GNSS reflectometry (GNSS-R) altimetry. Experimental low-cost GNSS-R altimetry flights with a UAV were conducted at the coast of Lake Biwa, Japan. Although the height estimated by the GNSS-R altimeter included large short-term noises up to 8 m amplitude, it agreed well with the UAV altitude measured by the post-processed kinematic positioning. By selecting better weight functions in the least square method and using sufficient temporal averaging, the GNSS-R altimetry achieved accuracy in the order of 0.01 m if a sufficient number of GNSS satellites with high elevation angles were available. The dependency of the results on the weight functions is also discussed.

元の言語英語
記事番号998
ジャーナルSensors (Switzerland)
19
発行部数5
DOI
出版物ステータス出版済み - 3 1 2019

Fingerprint

satellite navigation systems
pilotless aircraft
altimetry
Level measurement
Water levels
Unmanned aerial vehicles (UAV)
Least-Squares Analysis
Navigation
Satellites
Weights and Measures
Costs and Cost Analysis
Water
Lakes
Biomechanical Phenomena
water
Noise
Costs
Japan
Signal systems
least squares method

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

これを引用

Low-cost GNSS-R altimetry on a UAV for water-level measurements at arbitrary times and locations. / Ichikawa, Kaoru; Ebinuma, Takuji; Konda, Masanori; Yufu, Kei.

:: Sensors (Switzerland), 巻 19, 番号 5, 998, 01.03.2019.

研究成果: ジャーナルへの寄稿記事

@article{5496772184b348898e4eddec6bf8a7ba,
title = "Low-cost GNSS-R altimetry on a UAV for water-level measurements at arbitrary times and locations",
abstract = "Together with direct Global Navigation Satellite System (GNSS) signals, the signals reflected at the water surface can be received by an unmanned aerial vehicle (UAV). From the range difference between two GNSS signal paths, the height of the UAV above the water level can be geometrically estimated using the weighted least squares method, called GNSS reflectometry (GNSS-R) altimetry. Experimental low-cost GNSS-R altimetry flights with a UAV were conducted at the coast of Lake Biwa, Japan. Although the height estimated by the GNSS-R altimeter included large short-term noises up to 8 m amplitude, it agreed well with the UAV altitude measured by the post-processed kinematic positioning. By selecting better weight functions in the least square method and using sufficient temporal averaging, the GNSS-R altimetry achieved accuracy in the order of 0.01 m if a sufficient number of GNSS satellites with high elevation angles were available. The dependency of the results on the weight functions is also discussed.",
author = "Kaoru Ichikawa and Takuji Ebinuma and Masanori Konda and Kei Yufu",
year = "2019",
month = "3",
day = "1",
doi = "10.3390/s19050998",
language = "English",
volume = "19",
journal = "Sensors",
issn = "1424-3210",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "5",

}

TY - JOUR

T1 - Low-cost GNSS-R altimetry on a UAV for water-level measurements at arbitrary times and locations

AU - Ichikawa, Kaoru

AU - Ebinuma, Takuji

AU - Konda, Masanori

AU - Yufu, Kei

PY - 2019/3/1

Y1 - 2019/3/1

N2 - Together with direct Global Navigation Satellite System (GNSS) signals, the signals reflected at the water surface can be received by an unmanned aerial vehicle (UAV). From the range difference between two GNSS signal paths, the height of the UAV above the water level can be geometrically estimated using the weighted least squares method, called GNSS reflectometry (GNSS-R) altimetry. Experimental low-cost GNSS-R altimetry flights with a UAV were conducted at the coast of Lake Biwa, Japan. Although the height estimated by the GNSS-R altimeter included large short-term noises up to 8 m amplitude, it agreed well with the UAV altitude measured by the post-processed kinematic positioning. By selecting better weight functions in the least square method and using sufficient temporal averaging, the GNSS-R altimetry achieved accuracy in the order of 0.01 m if a sufficient number of GNSS satellites with high elevation angles were available. The dependency of the results on the weight functions is also discussed.

AB - Together with direct Global Navigation Satellite System (GNSS) signals, the signals reflected at the water surface can be received by an unmanned aerial vehicle (UAV). From the range difference between two GNSS signal paths, the height of the UAV above the water level can be geometrically estimated using the weighted least squares method, called GNSS reflectometry (GNSS-R) altimetry. Experimental low-cost GNSS-R altimetry flights with a UAV were conducted at the coast of Lake Biwa, Japan. Although the height estimated by the GNSS-R altimeter included large short-term noises up to 8 m amplitude, it agreed well with the UAV altitude measured by the post-processed kinematic positioning. By selecting better weight functions in the least square method and using sufficient temporal averaging, the GNSS-R altimetry achieved accuracy in the order of 0.01 m if a sufficient number of GNSS satellites with high elevation angles were available. The dependency of the results on the weight functions is also discussed.

UR - http://www.scopus.com/inward/record.url?scp=85062435998&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062435998&partnerID=8YFLogxK

U2 - 10.3390/s19050998

DO - 10.3390/s19050998

M3 - Article

C2 - 30813630

AN - SCOPUS:85062435998

VL - 19

JO - Sensors

JF - Sensors

SN - 1424-3210

IS - 5

M1 - 998

ER -