We propose a redesign paradigm for stable estimators by introducing saturation or dead-zone nonlinearity with adaptive thresholds on the output injection term. Such nonlinearities allow improving sensitivity to measurement noise in different scenarios (impulsive disturbances persistent such as sensor bias), while preserving asymptotic convergence properties of original observer. These redesigns...
