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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.
|Title of host publication
|ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
|Place of Publication
|IEEE, Institute of Electrical and Electronics Engineers
|Number of pages
|Published - May 2020
|2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020 - Barcelona, Spain
Duration: 4 May 2020 → 8 May 2020
|ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
|2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020
|4/05/20 → 8/05/20
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