COMPARISON OF ROBUST ALGORITHMS FOR AIRBORNE GRAVIMETRY

The problem of a gravity anomaly (GA) estimation aboard an aircraft solved by using the data from a gravimeter and phase measurements of altitude from the differential satellite navigation system is discussed. The problem is considered from the viewpoints of different robust estimation algorithms: an H∞ estimation algorithm, a mixed H2/ H∞ estimation algorithm, a suboptimal algorithm based on unsteady models represented as integrals of a white noise and a cost-guaranteed algorithm based on the information about the GA variance and the variance of its derivative. A comprehensive comparison of robust estimators is presented. In addition, robust estimators are compared with the optimal estimator, which is obtained for the widely used GA spectral density.