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

6 Citations (Scopus)


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
Issue number8
Publication statusPublished - Aug 2019

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