Reconstruction of vertical rainfall fields using satellite communication links

Shen, Xi; Huang, Defeng; Xu, Lingyun; Tang, Xiaowen

doi:10.23919/apcc.2017.8304084

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…With SNRs at multiple ground receivers estimated for both horizontally and vertically polarized links elevated at 40° (

and

), the specific attenuations

and

for a targeted area can be retrieved through a tomographic algorithm. This retrieval process involves dividing the area of interest into voxels, solving the specific attenuations of each voxel using algorithms such as least-squares [ 39 ] and iteratively updating the noise figures of the sky noises (see [ 19 ] (p. 5439) for details).…”

Section: Model and Methodsmentioning

confidence: 99%

Retrieval of Raindrop Size Distribution Using Dual-Polarized Microwave Signals from LEO Satellites: A Feasibility Study through Simulations

Shen

Huang

2021

Sensors

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In this paper, a novel approach for raindrop size distribution retrieval using dual-polarized microwave signals from low Earth orbit satellites is proposed. The feasibility of this approach is studied through modelling and simulating the retrieval system which includes multiple ground receivers equipped with signal-to-noise ratio estimators and a low Earth orbit satellite communicating with the receivers using both vertically and horizontally polarized signals. Our analysis suggests that the dual-polarized links offer the opportunity to estimate two independent raindrop size distribution parameters. To achieve that, the vertical and horizontal polarization attenuations need to be measured at low elevation angles where the difference between them is more distinct. Two synthetic rain fields are generated to test the performance of the retrieval. Simulation results suggest that the specific attenuations for both link types can be retrieved through a least-squares algorithm. They also confirm that the specific attenuation ratio of vertically to horizontally polarized signals can be used to retrieve the slope and intercept parameters of raindrop size distribution.

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“…With SNRs at multiple ground receivers estimated for both horizontally and vertically polarized links elevated at 40° (

and

), the specific attenuations

and

Section: Model and Methodsmentioning

confidence: 99%

Retrieval of Raindrop Size Distribution Using Dual-Polarized Microwave Signals from LEO Satellites: A Feasibility Study through Simulations

Shen

Huang

2021

Sensors

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“…Similar to the motion of the signal source in computed tomography (CT) [6], the rotational motion of the LEO satellites makes it possible to perform 3-D tomographic reconstruction of rain fields. In [7], Shen et al have shown that vertical rain fields can be reconstructed from the received signal level (RSL) measurements of multiple receivers. The approach of using the estimated signal-to-noise ratio (SNR) at the ground receivers for LEO satellites to achieve 3-D tomographic rain field reconstruction was analyzed in detail in [8].…”

Section: Introductionmentioning

confidence: 99%

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

Shen

Huang

Vincent

et al. 2020

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

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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.

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“…Various investigations have been carried out recently. For example, it has been shown that vertical rain fields can be reconstructed from the received signal level measurements of multiple receivers [5]. Furthermore, the approach of using the estimated signal-to-noise ratio (SNR) at the ground receivers for LEO satellites to achieve three-dimensional (3-D) tomographic rain field reconstruction has been analyzed in detail [6].…”

Section: Introductionmentioning

confidence: 99%

Retrieval of Cloud Liquid Water Using Microwave Signals from LEO Satellites: A Feasibility Study through Simulations

et al. 2020

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A novel approach, using low Earth orbit (LEO) satellite microwave communication links for cloud liquid water measurements, is proposed in this paper. The feasibility of this approach is studied through simulations of the retrieval system including a LEO satellite communicating with a group of ground receivers equipped with signal-to-noise ratio (SNR) estimators, a synthetic cloud attenuation field and a tomographic retrieval algorithm. Rectangular and Gaussian basis functions are considered to define the targeted field. Simulation results suggest that the proposed least-squares based retrieval algorithm produces satisfactory outcomes for both types of basis functions. The root-mean-square error of the retrieved field is around 0.2 dB/km, with the range of the reference field as 0 to 2.35 dB/km. It is also confirmed that the partial retrieval of the cloud field is achievable when a limited number of receivers with restricted locations are available. The retrieval outcomes exhibit properties of high resolution and low error, indicating that the proposed approach has great potential for cloud observations.

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Reconstruction of vertical rainfall fields using satellite communication links

Cited by 7 publications

References 17 publications

Retrieval of Raindrop Size Distribution Using Dual-Polarized Microwave Signals from LEO Satellites: A Feasibility Study through Simulations

Retrieval of Raindrop Size Distribution Using Dual-Polarized Microwave Signals from LEO Satellites: A Feasibility Study through Simulations

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

Retrieval of Cloud Liquid Water Using Microwave Signals from LEO Satellites: A Feasibility Study through Simulations

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