Abstract
In this paper, several issues in applying nonlinear Kalman filter to GPS-based attitude determination are addressed. The governing equation that characterizes the attitude information and GPS measurements is developed. A nonlinear Kalman filter is then formulated to estimate attitude, integer ambiguity, and other relevant parameters. To account for the integer constraints and over-parametrization on the attitude, several schemes are proposed to augment standard Kalman filter iterations. An experiment using a rotating mechanism to emulate a spin-stabilized satellite and two carrier phase GPS receivers to provide measurement data is conducted in this work to assess the feasibility of the proposed algorithm.
| Original language | English |
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| Pages | 307-311 |
| Number of pages | 5 |
| Publication status | Published - 1997 Dec 1 |
| Event | Proceedings of the 1997 National Meeting - Santa Monica, CA, USA Duration: 1997 Jan 14 → 1997 Jan 16 |
Other
| Other | Proceedings of the 1997 National Meeting |
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| City | Santa Monica, CA, USA |
| Period | 97-01-14 → 97-01-16 |
All Science Journal Classification (ASJC) codes
- Engineering(all)