Skip to main navigation Skip to search Skip to main content

Inertial navigation employing common frame error representations

  • SUNY Buffalo

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

21 Scopus citations

Abstract

This paper explores a new paradigm for inertial navigation systems. Errors in filter applications using inertial navigation system equations have been previously defined from an abstract vector point-of-view. For example, the error in velocity has always been expressed using a straight difference of the truth minus the estimate without regard to each of the vector’s frame representations. In this paper an alternative vector state-error is defined using common coordinates over all vector error realizations, thereby providing a true-to- life representation of the actual errors. A modified extended Kalman filter is derived that employs the alternative vector state error representation. Simulation results are shown to assess the performance of the new filter design compared with the standard inertial navigation filter.

Original languageEnglish
Title of host publicationAIAA Guidance, Navigation, and Control Conference, 2017
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624104503
DOIs
StatePublished - 2017
EventAIAA Guidance, Navigation, and Control Conference, 2017 - Grapevine, United States
Duration: Jan 9 2017Jan 13 2017

Publication series

NameAIAA Guidance, Navigation, and Control Conference, 2017

Conference

ConferenceAIAA Guidance, Navigation, and Control Conference, 2017
Country/TerritoryUnited States
CityGrapevine
Period01/9/1701/13/17

Fingerprint

Dive into the research topics of 'Inertial navigation employing common frame error representations'. Together they form a unique fingerprint.

Cite this