A novel initial alignment algorithm of SINS/GPS on stationary base with attitude measurement

Zi Wei Guo*, Ling Juan Miao, Jun Shen

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Based on the error model of SINS/GPS and viewed of the improving of the observability and the observability degree, a novel initial alignment algorithm of SINS/GPS on stationary base with attitude measurement is put forward, which uses both the velocity error and yaw error as the observational value of Kalman filter. The qualitative analysis of observability and the quantity calculation of observability degree as well as the simulation result show that the system's observability and the observability degree is improved, the initial alignment is speeded up, the estimating error is reduced and the estimating of gyroscope bias is improved. This method has been applied in practical SINS/GPS.

Original languageEnglish
Title of host publication2011 International Conference on Electronics, Communications and Control, ICECC 2011 - Proceedings
Pages2458-2463
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Electronics, Communications and Control, ICECC 2011 - Ningbo, China
Duration: 9 Sept 201111 Sept 2011

Publication series

Name2011 International Conference on Electronics, Communications and Control, ICECC 2011 - Proceedings

Conference

Conference2011 International Conference on Electronics, Communications and Control, ICECC 2011
Country/TerritoryChina
CityNingbo
Period9/09/1111/09/11

Keywords

  • SINS/GPS
  • initial alignment
  • observability analysis
  • stationary base

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