Regularization by Grouping Correction in Downward Continuation of Airborne Gravity

During downward continuation of airborne gravity,ill-condition causes different effects to different parameters.In order to eliminate or alleviate the effects to an appropriate level,we put forward a new algorithm named regularization by grouping correction.Using the signal-to-noise ratio to assess the ill-condition effects,parameters are grouped.Regularization matrix is constructed by grouping amendment idea.Regularization parameter is selected by minimizing the mean square error.Using the simulative airborne gravity data based on the EGM2008 as true values of the gravity field,the effectiveness of the method is verified.Comparing with three other methods,the new method has higher accuracy.