ArticleSensors (Basel, Switzerland)2016
An Online Gravity Modeling Method Applied for High Precision Free-INS.
Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A Combined Gravity Compensation Method for INS Using the Simplified Gravity Model and Gravity Database.Sensors (Basel, Switzerland) · 2018Article
- Compensation of Horizontal Gravity Disturbances for High Precision Inertial Navigation.Sensors (Basel, Switzerland) · 2018Article
- A Model of Gravity Vector Measurement Noise for Estimating Accelerometer Bias in Gravity Disturbance Compensation.Sensors (Basel, Switzerland) · 2018Article
- A Novel Attitude Determination System Aided by Polarization Sensor.Sensors (Basel, Switzerland) · 2018Article
- INS/GNSS Integration for Aerobatic Flight Applications and Aircraft Motion Surveying.Sensors (Basel, Switzerland) · 2017Article
- Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems.Sensors (Basel, Switzerland) · 2016Article
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Authors and funding
4 authors.
Funding
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Abstract
For real-time solution of inertial navigation system (INS), the high-degree spherical harmonic gravity model (SHM) is not applicable because of its time and space complexity, in which traditional normal gravity model (NGM) has been the dominant technique for gravity compensation. In this paper, a two-dimensional second-order polynomial model is derived from SHM according to the approximate linear characteristic of regional disturbing potential. Firstly, deflections of vertical (DOVs) on dense grids are calculated with SHM in an external computer. And then, the polynomial coefficients are obtained using these DOVs. To achieve global navigation, the coefficients and applicable region of polynomial model are both updated synchronously in above computer. Compared with high-degree SHM, the polynomial model takes less storage and computational time at the expense of minor precision. Meanwhile, the model is more accurate than NGM. Finally, numerical test and INS experiment show that the proposed method outperforms traditional gravity models applied for high precision free-INS.
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