Gravity modeling in aerospace applications

被引:28
作者
Siouris, George M. [1 ]
机构
[1] USAF, Inst Technol, Dept Elect & Comp Engn, Wright Patterson AFB, OH 45433 USA
关键词
Gravity model; Inertial navigation system; Markov process; Geopotential; Zonal harmonics; STATISTICAL-MODELS; CONVERSION;
D O I
10.1016/j.ast.2009.05.005
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The science of inertial navigation has evolved to the point that the traditional gravity model is a principal error source in advanced, precise systems. Specifically, the unmodeled vertical deflections of the earth's gravitational field are a major contributor to CEP (circular error probable) divergence in precise terrestrial inertial navigation systems (INS). Over the years, several studies have been undertaken to the development of advanced techniques for accurate, real-time compensation of gravity disturbance vectors. More complex on-board gravity models which compute vertical deflection components will reduce the CEP divergence rate, but imperfect modeling due to on-board processing limitations will still cause residual vertical deflection errors. In order to eliminate or reduce gravity-induced errors in the INS requires measurement of gravity disturbance values and in-flight compensation to the inertial navigator. It is assumed in this paper that gravity disturbance values have been measured prior to the airborne mission and various techniques for compensation are to be considered. As part of a screening process in this study, several gravity compensation techniques (both deterministic and stochastic models) were investigated. The screening process involved identification of gravity models and algorithms, and developments of selection criteria for subsequent screening of the candidates. (C) 2009 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:301 / 315
页数:15
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