Noise Processing of Ocean Absolute Gravity Data Based on Savitzky-golay Filtering Algorithm

Abstract

High-precision data on absolute gravity have a wide range of applications, including basic science, resource exploration, national defense infrastructure, seismic studies, and inertial navigation, among others. The atomic gravimeter, known for its high sampling rate, accuracy and long-term stability, is particularly well suited for high-precision measurements of absolute gravity in oceanic and deep-sea environments. However, the challenging conditions found in the ocean introduce significant noise into the gravity data obtained from atomic gravimeters. This noise adversely affects the accuracy of gravity measurements, which in turn affects the interpretation of geological structures. Consequently, the analysis and processing of noise in atomic gravimeter data has become a focal point in the research of high-precision absolute oceanic gravity dynamic measurements. In this study, we conducted absolute gravity measurement experiments using the shipboard atomic absolute gravity measurement system developed at Zhejiang University of Technology. To filter the collected gravity data, we used the Savitzky-Golay (SG) filtering algorithm. This algorithm not only preserves essential measurement information, but also provides superior accuracy compared to conventional filtering methods.