The application of adaptive genetic algorithm in GPS attitude determination

  • Yandong Wang*
  • , Kui Chen
  • , Huafeng Hu
  • , Shaoshuai Yang
  • , Qingchang Ji
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the adapti ve genetic algorithm combined with the whitening filter is proposed to search for correct ambiguities for GPS attitude determination system. First of all, the float ambiguities are carried out by Kalman filter, and then the whitening transformation is used to reduce higher correlation of integer ambiguities. Finally, the decorrelated ambiguities are searched in the transformed search space using adaptive genetic algorithm. The experimental results demonstrate that the proposed approach is feasible and efficient for GPS attitude determination system.

Original languageEnglish
Title of host publicationProceedings of the 2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012
Pages44-48
Number of pages5
DOIs
StatePublished - 2012
Event2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012 - Harbin, Heilongjiang, China
Duration: 8 Dec 201210 Dec 2012

Publication series

NameProceedings of the 2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012

Conference

Conference2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012
Country/TerritoryChina
CityHarbin, Heilongjiang
Period8/12/1210/12/12

Keywords

  • Adaptive genetic algorithm
  • GPS attitude determination
  • Integer ambiguity
  • Kalman filter
  • Whitening filter

Fingerprint

Dive into the research topics of 'The application of adaptive genetic algorithm in GPS attitude determination'. Together they form a unique fingerprint.

Cite this