A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites

Felix Shen; David Huang; Claire Vincent; Wenxiao Wang; Roberto Togneri

doi:10.1109/ICASSP40776.2020.9054284

A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites

Felix Shen, David Huang, Claire Vincent, Wenxiao Wang, Roberto Togneri

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

3 Citations (Scopus)

126 Downloads (Pure)

Abstract

A differential approach is proposed for tomographic rain field reconstruction using the estimated signal-to-noise ratio of microwave signals from low earth orbit satellites at the ground receivers, with the unknown baseline values eliminated before using least squares to reconstruct the attenuation field. Simulations are done when the baseline is modelled by an autoregressive process and when the baseline is assumed fixed. Comparisons between the reconstruction results for the differential and non-differential approaches suggest that the differential approach performs better in both scenarios. For high correlation coefficient and low model noise in the autoregressive process, the differential approach surpasses the non-differential approach significantly.

Original language	English
Title of host publication	ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	9001-9005
Number of pages	5
ISBN (Electronic)	9781509066315
DOIs	https://doi.org/10.1109/ICASSP40776.2020.9054284
Publication status	Published - May 2020
Event	2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020 - Barcelona, Spain Duration: 4 May 2020 → 8 May 2020

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2020-May
ISSN (Print)	1520-6149

Conference

Conference	2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020
Abbreviated title	ICASSP 2020
Country/Territory	Spain
City	Barcelona
Period	4/05/20 → 8/05/20

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10.1109/ICASSP40776.2020.9054284

Shen, X. et.al., 2020 A Differential Approach for Rain Field Tomographic Reconstruction...
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3D tomographic reconstruction of rainfall using satellite signals
Huang, D. (Investigator 01), Vincent, C. (Investigator 02) & Lu, J. (Investigator 03)
ARC Australian Research Council
5/02/19 → 3/04/23
Project: Research

Cite this

Shen, F., Huang, D., Vincent, C., Wang, W., & Togneri, R. (2020). A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 9001-9005). Article 9054284 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2020-May). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP40776.2020.9054284

Shen, Felix ; Huang, David ; Vincent, Claire et al. / A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). USA : IEEE, Institute of Electrical and Electronics Engineers, 2020. pp. 9001-9005 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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title = "A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites",

abstract = "A differential approach is proposed for tomographic rain field reconstruction using the estimated signal-to-noise ratio of microwave signals from low earth orbit satellites at the ground receivers, with the unknown baseline values eliminated before using least squares to reconstruct the attenuation field. Simulations are done when the baseline is modelled by an autoregressive process and when the baseline is assumed fixed. Comparisons between the reconstruction results for the differential and non-differential approaches suggest that the differential approach performs better in both scenarios. For high correlation coefficient and low model noise in the autoregressive process, the differential approach surpasses the non-differential approach significantly.",

keywords = "rain field, 3-D tomography, LEO, SNR estimation, differential method",

author = "Felix Shen and David Huang and Claire Vincent and Wenxiao Wang and Roberto Togneri",

year = "2020",

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doi = "10.1109/ICASSP40776.2020.9054284",

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series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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Shen, F , Huang, D, Vincent, C, Wang, W & Togneri, R 2020, A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites. in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)., 9054284, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2020-May, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 9001-9005, 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, 4/05/20. https://doi.org/10.1109/ICASSP40776.2020.9054284

A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites. / Shen, Felix ; Huang, David; Vincent, Claire et al.
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). USA: IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 9001-9005 9054284 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2020-May).

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

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T1 - A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites

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AU - Huang, David

AU - Vincent, Claire

AU - Wang, Wenxiao

AU - Togneri, Roberto

PY - 2020/5

Y1 - 2020/5

N2 - A differential approach is proposed for tomographic rain field reconstruction using the estimated signal-to-noise ratio of microwave signals from low earth orbit satellites at the ground receivers, with the unknown baseline values eliminated before using least squares to reconstruct the attenuation field. Simulations are done when the baseline is modelled by an autoregressive process and when the baseline is assumed fixed. Comparisons between the reconstruction results for the differential and non-differential approaches suggest that the differential approach performs better in both scenarios. For high correlation coefficient and low model noise in the autoregressive process, the differential approach surpasses the non-differential approach significantly.

AB - A differential approach is proposed for tomographic rain field reconstruction using the estimated signal-to-noise ratio of microwave signals from low earth orbit satellites at the ground receivers, with the unknown baseline values eliminated before using least squares to reconstruct the attenuation field. Simulations are done when the baseline is modelled by an autoregressive process and when the baseline is assumed fixed. Comparisons between the reconstruction results for the differential and non-differential approaches suggest that the differential approach performs better in both scenarios. For high correlation coefficient and low model noise in the autoregressive process, the differential approach surpasses the non-differential approach significantly.

KW - rain field

KW - 3-D tomography

KW - LEO

KW - SNR estimation

KW - differential method

U2 - 10.1109/ICASSP40776.2020.9054284

DO - 10.1109/ICASSP40776.2020.9054284

M3 - Conference paper

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BT - ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Y2 - 4 May 2020 through 8 May 2020

ER -

Shen F , Huang D, Vincent C, Wang W, Togneri R. A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). USA: IEEE, Institute of Electrical and Electronics Engineers. 2020. p. 9001-9005. 9054284. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP40776.2020.9054284

A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from LEO Satellites

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3D tomographic reconstruction of rainfall using satellite signals

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