Coastal Altimetry · Delay/Doppler Processing · Parameter Estimation
Coastal altimetry, delay/Doppler altimetry, modeling altimetric signals, parameter estimation, signal filtering.
Ph.D. thesis — Supervisors: Corinne Mailhes, Jean-Yves Tourneret
For more than twenty years, conventional altimeters like Topex, Poseidon-2 or Poseidon-3 have been delivering waveforms used to estimate parameters such as the range between the satellite and the observed scene, the wave height, and the wind speed. Several waveform models and estimation processing have been developed for the oceanic data. A great effort has been devoted to process coastal echoes to move altimetric measurements closer to the coast.
The first part considers coastal waveforms and proposes a new altimetric model accounting for the possible presence of peaks affecting altimetric echoes. The second part develops models for delay/Doppler altimetry, which aims at reducing measurement noise and increasing along-track resolution compared to conventional altimetry.
A new altimetric model accounts for the possible presence of peaks in coastal altimetric waveforms. These peaks, caused by bright targets in the altimeter footprint, corrupt the Brown model typically used for open ocean waveforms. The proposed model enables parameter estimation closer to the coast.
A semi-analytical model for delay/Doppler altimetry and its estimation algorithm. The model accounts for antenna mispointing effects and provides improved parameter estimation.
Bayesian estimation exploiting the temporal smoothness of estimated parameters along satellite tracks, improving estimation quality for range, significant wave height, and wind speed.
A Bayesian approach for denoising smooth signals with application to altimetry, using a hierarchical Bayesian model with appropriate priors for the unknown parameters.