Comparison of Wiener and Kalman Approaches to Marine Gravimetric Survey Data Processing

The paper considers the interrelation, distinctions and features of algorithms for processing the results of marine scalar gravimetric survey, synthesized within the Kalman and Wiener approaches. Their advantages and disadvantages in solving the problems of filtering and smoothing are analyzed. The authors present and compare the results obtained with various recursive filters in simulation and real data processing. The consistency of filters and the possibility to create their adaptive versions suggesting, among other things, the identification of signal and noise models, are discussed.