Satellite gravity gradient inversion method based on power spectrum half analysis

Abstract

The invention relates to a satellite gravity gradient inversion method based on power spectrum half analysis; builds an individual and a united analytical error models of accumulated geoid accuracy influenced by a gravity gradient tensor error of a satellite gravity gradient meter and an orbital position error of a global position system (GPS) / global navigation satellite system (GLONASS) composite receiver; and simultaneously provides a method for verifying a satellite gravity gradient inversion half analysis error model, and a method for determining parameter requirements of a next generation GOCE Follow-On gravity gradient satellite according to effects of satellite gravity gradient measurement accuracy, satellite orbit position measurement accuracy and satellite orbit height on accumulated geoid based on the satellite gravity gradient inversion half analysis error model. The satellite gravity gradient inversion method is high in accuracy, high in speed of resolving the earth gravitational field, and explicit in physical meaning of a satellite observation equation, simplifies a computational process, and facilitates performing requirement analysis of a next generation gravity gradient satellite system.

Description

technical field [0001] The present invention relates to interdisciplinary technical fields such as satellite gravity gradients, geodesy, space science, and astronautics, and in particular to a method for accurately establishing a semi-analytical error model for satellite gravity gradient inversion based on the power spectrum principle and carrying out GOCE Follow-On demand demonstration research methods. Background technique [0002] The realization of satellite gravity gradient measurement (SGG) technology is another innovation and breakthrough in the field of geodesy after the successful construction of the US Global Positioning System (GPS) constellation. One of the most efficient, economical and promising methods. The GOCE gravity gradient satellite independently developed by the European Space Agency (ESA) was successfully launched on March 17, 2009. GOCE adopts near-circular, polar and sun-synchronous low orbits, with an orbital inclination of 96.5°, an orbital eccen...

AI Technical Summary

Problems solved by technology

Advantages: the number of grid points is fixed, so the dimension of the equation is fixed, and the FFT method can be used for fast batch processing, so the amount of calculation is greatly reduced; Disadvantages: different degrees of approximate calculations are made in the grid processing, and Can't handle colored noise

Advantages: Directly process satellite observation data without any approximation, high solution accuracy and can effectively deal with color noise; Disadvantage: With the increase of satellite observation data, the number of observation equations increases dramatically, which greatly increases the amount of calculation

Advantages: On the premise of ensuring the calculation accuracy of the earth's gravity field, the calculation speed is effectively improved; Disadvantages: Compared with the separate airspace method and time domain method, the calculation process is more complicated

Advantages: It does not depend on any prior earth gravity field model, the theoretical framework is strict, and the solution accuracy of various earth gravity field parameters is high; Disadvantages: the overall calculation process is complicated and requires high-performance parallel computer support

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