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
지상국과 UAV(무인 항공기) 사이의 무선 링크에서는 건물과 같은 장애물로 인해 무선 신호가 약화될 수 있습니다. 3차원 영역의 다양한 수신 지점에서 RSS 집합을 나타내는 3차원 RSS(Received Signal Strength) 맵(3D-RSS 맵)은 신뢰할 수 있는 지상 신호 설계에 사용할 수 있는 유망한 지리적 데이터베이스입니다. - 공기 무선 링크. 3D-RSS 지도를 구성하려면 특히 넓은 3D 영역의 경우 더 높은 계산 복잡성이 필요합니다. 3차원 영역의 RSS 값을 부분적으로 관찰하여 3D-RSS 맵을 순차적으로 추정하기 위해 그래프 라플라시안 기반 순차 평활 추정기를 제안한다. 제안된 추정기에서는 XNUMX차원 영역을 복셀로 분할하고, UAV는 미리 정해진 경로를 따라 복셀에서 RSS 값을 관찰한다. 무방향 그래프에서 복셀을 꼭짓점으로 간주하여 최근 관측값을 얻은 꼭짓점과 그 이웃 꼭짓점을 이용하여 측정 그래프를 동적으로 구성하고, 그래프 라플라시안 정규화 최소제곱 추정을 수행하여 XNUMXD-RSS 맵을 순차적으로 추정한다.
Takahiro MATSUDA
Tokyo Metropolitan University
Fumie ONO
National Institute of Information and Communication
Shinsuke HARA
Osaka City University
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Takahiro MATSUDA, Fumie ONO, Shinsuke HARA, "Graph Laplacian-Based Sequential Smooth Estimator for Three-Dimensional RSS Map" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 7, pp. 738-748, July 2021, doi: 10.1587/transcom.2020CQP0003.
Abstract: In wireless links between ground stations and UAVs (Unmanned Aerial Vehicles), wireless signals may be attenuated by obstructions such as buildings. A three-dimensional RSS (Received Signal Strength) map (3D-RSS map), which represents a set of RSSs at various reception points in a three-dimensional area, is a promising geographical database that can be used to design reliable ground-to-air wireless links. The construction of a 3D-RSS map requires higher computational complexity, especially for a large 3D area. In order to sequentially estimate a 3D-RSS map from partial observations of RSS values in the 3D area, we propose a graph Laplacian-based sequential smooth estimator. In the proposed estimator, the 3D area is divided into voxels, and a UAV observes the RSS values at the voxels along a predetermined path. By considering the voxels as vertices in an undirected graph, a measurement graph is dynamically constructed using vertices from which recent observations were obtained and their neighboring vertices, and the 3D-RSS map is sequentially estimated by performing graph Laplacian regularized least square estimation.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020CQP0003/_p
부
@ARTICLE{e104-b_7_738,
author={Takahiro MATSUDA, Fumie ONO, Shinsuke HARA, },
journal={IEICE TRANSACTIONS on Communications},
title={Graph Laplacian-Based Sequential Smooth Estimator for Three-Dimensional RSS Map},
year={2021},
volume={E104-B},
number={7},
pages={738-748},
abstract={In wireless links between ground stations and UAVs (Unmanned Aerial Vehicles), wireless signals may be attenuated by obstructions such as buildings. A three-dimensional RSS (Received Signal Strength) map (3D-RSS map), which represents a set of RSSs at various reception points in a three-dimensional area, is a promising geographical database that can be used to design reliable ground-to-air wireless links. The construction of a 3D-RSS map requires higher computational complexity, especially for a large 3D area. In order to sequentially estimate a 3D-RSS map from partial observations of RSS values in the 3D area, we propose a graph Laplacian-based sequential smooth estimator. In the proposed estimator, the 3D area is divided into voxels, and a UAV observes the RSS values at the voxels along a predetermined path. By considering the voxels as vertices in an undirected graph, a measurement graph is dynamically constructed using vertices from which recent observations were obtained and their neighboring vertices, and the 3D-RSS map is sequentially estimated by performing graph Laplacian regularized least square estimation.},
keywords={},
doi={10.1587/transcom.2020CQP0003},
ISSN={1745-1345},
month={July},}
부
TY - JOUR
TI - Graph Laplacian-Based Sequential Smooth Estimator for Three-Dimensional RSS Map
T2 - IEICE TRANSACTIONS on Communications
SP - 738
EP - 748
AU - Takahiro MATSUDA
AU - Fumie ONO
AU - Shinsuke HARA
PY - 2021
DO - 10.1587/transcom.2020CQP0003
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2021
AB - In wireless links between ground stations and UAVs (Unmanned Aerial Vehicles), wireless signals may be attenuated by obstructions such as buildings. A three-dimensional RSS (Received Signal Strength) map (3D-RSS map), which represents a set of RSSs at various reception points in a three-dimensional area, is a promising geographical database that can be used to design reliable ground-to-air wireless links. The construction of a 3D-RSS map requires higher computational complexity, especially for a large 3D area. In order to sequentially estimate a 3D-RSS map from partial observations of RSS values in the 3D area, we propose a graph Laplacian-based sequential smooth estimator. In the proposed estimator, the 3D area is divided into voxels, and a UAV observes the RSS values at the voxels along a predetermined path. By considering the voxels as vertices in an undirected graph, a measurement graph is dynamically constructed using vertices from which recent observations were obtained and their neighboring vertices, and the 3D-RSS map is sequentially estimated by performing graph Laplacian regularized least square estimation.
ER -