Constrained Recursive Parameter Estimation for InSAR ARCS
Yuqing Wang (TU Delft - Mathematical Geodesy and Positioning)
W.S. Brouwer (TU Delft - Mathematical Geodesy and Positioning)
FJ Van Leijen (TU Delft - Mathematical Geodesy and Positioning)
Ramon Hanssen (TU Delft - Mathematical Geodesy and Positioning)
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Abstract
The growing availability of SAR data offers a real-time deformation monitoring opportunity, but data utilization can be inefficient. Our study introduces a mathematical framework using recursive least-squares and the wrapped phase, allowing efficient updates when new data arrives. This method also incorporates prior knowledge about signal smoothness for non-linear displacement estimation. Compared to the batch solution, our recursive approach achieves parameter estimation without storing past measurements while respecting signal smoothness constraints.