Application of nonlinear Kalman filter approach in dynamic GPS-based attitude determination

Guo Shing Huang, Jyh-Chin Juang

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

In this paper, nonlinear Kalman filter technique is applied to dynamic GPS-based attitude determination. The governing equation that characterizes the attitude information and GPS measurements is developed. A nonlinear Kalman filter algorithm is then formulated to estimate attitude, angular rate, integer ambiguity, and other relevant parameters. An experiment which uses a rotating mechanism platform to emulate a spin-stabilized satellite and two GPS carrier phase receivers to provide measurement data is conducted in this work to assess the feasibility of the proposed algorithm.

Original languageEnglish
Pages1440-1444
Number of pages5
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 40th Midwest Symposium on Circuits and Systems. Part 1 (of 2) - Sacramento, CA, USA
Duration: 1997 Aug 31997 Aug 6

Other

OtherProceedings of the 1997 40th Midwest Symposium on Circuits and Systems. Part 1 (of 2)
CitySacramento, CA, USA
Period97-08-0397-08-06

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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    Huang, G. S., & Juang, J-C. (1997). Application of nonlinear Kalman filter approach in dynamic GPS-based attitude determination. 1440-1444. Paper presented at Proceedings of the 1997 40th Midwest Symposium on Circuits and Systems. Part 1 (of 2), Sacramento, CA, USA, .