Application of Kalman filter and mean field annealing algorithms in GPS-based attitude determination

Jyh-Chin Juang, Guo Shing Huang

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In this paper, two algorithms of Global Positioning System based attitude determination are proposed. The first algorithm extends the Kalman filter approach to determine the integer ambiguity and the orientation that is needed in a typical GPS-based attitude determination problem. The second algorithm explores the mean field annealing neural network and the stochastic stimulated annealing technique, to resolve the optimal attitude problems. A test platform is set up for verifying these algorithms. The two algorithms are further compared in terms of computation speed and convergence rate.

Original languageEnglish
Pages (from-to)117-131
Number of pages15
JournalJournal of Navigation
Volume51
Issue number1
DOIs
Publication statusPublished - 1998 Jan 1

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Ocean Engineering

Fingerprint Dive into the research topics of 'Application of Kalman filter and mean field annealing algorithms in GPS-based attitude determination'. Together they form a unique fingerprint.

  • Cite this