FIR, IIR and Wavelet Algorithms for the Rigorous Filtering of GOCE SGG Data to the GOCE MBW

Gravity field and steady-state Ocean Circulation Explorer (GOCE) data are strongly affected by noise long-wavelength errors outside the satellite measurement bandwidth (MBW). One of main goals in utilizing GOCE for gravity modeling is application filtering techniques that can remove gross reduce low-frequency high-frequency while preserving original signal. This paper aims to present analyze three strategies used de-noise Level 2 from correlated noise. These Finite Impulse Response (FIR), Infinite (IIR), Wavelet Multi-resolution Analysis (WL), which have been applied residual second order derivatives potential. Several experiments were performed each scheme identify ideal parameters. The outcomes indicate all suggested proved be effective removing signals MBW, with FIR providing overall best results.