Simplified Tsunami Modeling and Waveform Reconstruction With GNSS-R Observations

This paper investigates Tsunami modeling, waveform reconstruction and parameter estimation using noisy sea surface height measurements observed by a satellite-carried global navigation satellite system (GNSS) sensor. Wavelet theory is used to mitigate the strong measurement noise. Tsunami modeling is considered and Cramer-Rao lower bound is derived for estimation of Tsunami shape parameters, wave height and wavelength. Real Tsunami data observed by altimetry satellites are used for performance evaluation and the results demonstrate the efficiency of the proposed approach.