Comparison between adaptive extended kalman filters for INS accurate fine alignment process

Itzik Klein, Ilan Rusnak, Yaakov Bar-Shalom

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

Abstract

The fine alignment process is aimed to reduce initial attitude and inertial sensors errors before system operation. Such process is critical for the navigation solution accuracy, in particular, for situations of pure inertial navigation. In this paper, we compare different types of adaptive extended Kalman filters for a scenario of velocity aided fine alignment. Results show that a proper choice of an adaptive filter in the alignment process can greatly improve the accuracy of the navigation error-states. As a result, the time duration of the fine alignment process can be shortened.

Original languageEnglish
Title of host publication2020 European Navigation Conference, ENC 2020
EditorsGalina Lange
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783944976273
DOIs
StatePublished - 23 Nov 2020
Event2020 European Navigation Conference, ENC 2020 - Dresden, Germany
Duration: 23 Nov 202024 Nov 2020

Publication series

Name2020 European Navigation Conference, ENC 2020

Conference

Conference2020 European Navigation Conference, ENC 2020
Country/TerritoryGermany
CityDresden
Period23/11/2024/11/20

Bibliographical note

Publisher Copyright:
© 2020 German Institute of Navigation - DGON.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Aerospace Engineering
  • Automotive Engineering
  • Control and Optimization
  • Instrumentation

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