Comparison of Wiener and Kalman Filters in Processing the Results of Marine Gravimetric Survey

The paper presents a comparison of Wiener stationary filters, which solves a on-line estimation problem, and Wiener smoothers built using the method of local power spectral densities approximation for estimated signal and interference, with Kalman nonstationary filters and smoothers used in processing the results of a marine gravimetric survey. The results of comparison of gravity anomaly estimates obtained with different filters using simulation and real data are presented. The advantages and disadvantages of the compared filters and smoothers are discussed.