3-D Tomographic Reconstruction of Rain Field Using Microwave Signals From LEO Satellites: Principle and Simulation Results

Xi Shen, Defeng David Huang, Boming Song, Claire Vincent, Roberto Togneri

Research output: Contribution to journalArticle

Abstract

In this paper, we propose a novel approach for 3-D rain field reconstruction using satellite signals. It uses the estimated signal-to-noise ratio (SNR) at the ground receivers for low-earth orbit (LEO) satellites and, thus, indirectly estimates the path-integrated rain attenuation of the microwave communication links. A least-squares algorithm is employed to perform the 3-D tomographic reconstruction of the rain field. The proposed system model consists of an LEO satellite with a realistic overpass trajectory and multiple ground receivers with SNR estimators. Two synthetic rain events near the Great Barrier Reef in Australia are used to test the reconstruction outcome. Simulation results suggest that the reconstructed rain field has close agreement with the synthetic rain field.

Original languageEnglish
Pages (from-to)5434-5446
Number of pages13
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume57
Issue number8
DOIs
Publication statusPublished - Aug 2019

Cite this

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title = "3-D Tomographic Reconstruction of Rain Field Using Microwave Signals From LEO Satellites: Principle and Simulation Results",
abstract = "In this paper, we propose a novel approach for 3-D rain field reconstruction using satellite signals. It uses the estimated signal-to-noise ratio (SNR) at the ground receivers for low-earth orbit (LEO) satellites and, thus, indirectly estimates the path-integrated rain attenuation of the microwave communication links. A least-squares algorithm is employed to perform the 3-D tomographic reconstruction of the rain field. The proposed system model consists of an LEO satellite with a realistic overpass trajectory and multiple ground receivers with SNR estimators. Two synthetic rain events near the Great Barrier Reef in Australia are used to test the reconstruction outcome. Simulation results suggest that the reconstructed rain field has close agreement with the synthetic rain field.",
keywords = "3-D tomography, low-earth orbit (LEO), rain field, reconstruction, signal-to-noise ratio (SNR) estimation, COMMUNICATION, ATTENUATION, NETWORKS, NOISE, LINKS",
author = "Xi Shen and Huang, {Defeng David} and Boming Song and Claire Vincent and Roberto Togneri",
year = "2019",
month = "8",
doi = "10.1109/TGRS.2019.2899391",
language = "English",
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journal = "IEEE Transactions on Geoscience and Remote Sensing",
issn = "0196-2892",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
number = "8",

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TY - JOUR

T1 - 3-D Tomographic Reconstruction of Rain Field Using Microwave Signals From LEO Satellites

T2 - Principle and Simulation Results

AU - Shen, Xi

AU - Huang, Defeng David

AU - Song, Boming

AU - Vincent, Claire

AU - Togneri, Roberto

PY - 2019/8

Y1 - 2019/8

N2 - In this paper, we propose a novel approach for 3-D rain field reconstruction using satellite signals. It uses the estimated signal-to-noise ratio (SNR) at the ground receivers for low-earth orbit (LEO) satellites and, thus, indirectly estimates the path-integrated rain attenuation of the microwave communication links. A least-squares algorithm is employed to perform the 3-D tomographic reconstruction of the rain field. The proposed system model consists of an LEO satellite with a realistic overpass trajectory and multiple ground receivers with SNR estimators. Two synthetic rain events near the Great Barrier Reef in Australia are used to test the reconstruction outcome. Simulation results suggest that the reconstructed rain field has close agreement with the synthetic rain field.

AB - In this paper, we propose a novel approach for 3-D rain field reconstruction using satellite signals. It uses the estimated signal-to-noise ratio (SNR) at the ground receivers for low-earth orbit (LEO) satellites and, thus, indirectly estimates the path-integrated rain attenuation of the microwave communication links. A least-squares algorithm is employed to perform the 3-D tomographic reconstruction of the rain field. The proposed system model consists of an LEO satellite with a realistic overpass trajectory and multiple ground receivers with SNR estimators. Two synthetic rain events near the Great Barrier Reef in Australia are used to test the reconstruction outcome. Simulation results suggest that the reconstructed rain field has close agreement with the synthetic rain field.

KW - 3-D tomography

KW - low-earth orbit (LEO)

KW - rain field

KW - reconstruction

KW - signal-to-noise ratio (SNR) estimation

KW - COMMUNICATION

KW - ATTENUATION

KW - NETWORKS

KW - NOISE

KW - LINKS

U2 - 10.1109/TGRS.2019.2899391

DO - 10.1109/TGRS.2019.2899391

M3 - Article

VL - 57

SP - 5434

EP - 5446

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

SN - 0196-2892

IS - 8

ER -