Application of Kalman filter in GPS-based attitude determination

Jyh Ching Juang, Guo Shing Huang

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish
Pages307-311
Number of pages5
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 National Meeting - Santa Monica, CA, USA
Duration: 1997 Jan 141997 Jan 16

Other

OtherProceedings of the 1997 National Meeting
CitySanta Monica, CA, USA
Period97-01-1497-01-16

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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