Abstract

Spectral Analysis of the Selected Accelerations and Orbital Elements for the Goce Satellite OrbitThe work contains the results of research of the simulated GOCE satellite orbit. For the 30-day orbit determination the Cowell numerical integration of the eighth order was used and the geopotential was described by means of the EGM96 model. The selected accelerations and the Keplerian elements were computed along this orbit. These accelerations included the satellite accelerations due to: the geopotential, the Earth tides and the ocean tides (the radial component for both), the gravitation of the Moon, the gravitation of the Sun, the gravitation of the Venus and the relativity effects.The computed accelerations and Keplerian elements were treated as the input data for the DFT algorithm (Discrete Fourier Transform) to determine their spectral characteristics, i.e. the amplitude power spectral densities (PSD). Additionally, the averages and standard deviations were obtained for the aforementioned accelerations and Keplerian elements.The numerous periodic components were identified. The characteristic resonances with the satellite orbital period, with the Earth's rotation period and with the Moon's synodic period were described.

Highlights

  • One of the ESA’s missions is the Gravity Field and Steady – State Ocean Circulation Explorer Mission (GOCE)

  • To obtain of a data set of satellite laser ranging (SLR) measurements for controlling the satellite position, the GOCE satellite is equipped with the Laser Retro Reflector (LRR) in the form of a corner-cube array

  • The clearly domination of the component ~ 44.77 min. with the amplitude ~ 3.84 km is a characteristic feature of the amplitude power spectral densities (PSD) for the semi-major axis (Figure 8)

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Summary

Introduction

One of the ESA’s missions is the Gravity Field and Steady – State Ocean Circulation Explorer Mission (GOCE). The GOCE satellite is planned to provide two types of measurements: the gravity gradients (Satellite Gravity Gradiometry data - SGG data) and the high-low Satellite to Satellite tracking data (SST data). They will be obtained by two on-board devices: an electrostatic gravity gradiometer and a GPS/GLONASS receiver, respectively (Johannessen et al, 2003). Both the SGG data and the SST data will be subject of a joint inversion to estimate the Earth’s gravity field model (Ditmar and Klees, 2002; Ditmar et al, 2003)

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