Field calibration for platform inertial navigation system based on RHKF

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

3 Citations (Scopus)

Abstract

In this paper, a calibration method for platform inertial navigation system is proposed. By using this method, the calibration process can be completed without any turntables. For the inertial navigation platform which has full degrees of freedom in Yaw axis and ±60° degrees of freedom in the Roll and Pitch axis, a four-position field calibration method using receding horizon Kalman filter (RHKF) is proposed; scale factors and drifts of two horizontal gyros are estimated; based on local gravitational acceleration, scale factors and biases of accelerometers are also estimated. Simulation results show that compared with the traditional Kalman filter method, the method based on RHKF guarantees the rapidity and accuracy of the calibration, which can be adopted in the engineering applications.

Original languageEnglish
Title of host publicationProceedings of 2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010
Pages565-569
Number of pages5
EditionPART 2
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010 - Dalian, China
Duration: 13 Aug 201015 Aug 2010

Publication series

NameProceedings of 2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010
NumberPART 2

Conference

Conference2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010
Country/TerritoryChina
CityDalian
Period13/08/1015/08/10

Fingerprint

Dive into the research topics of 'Field calibration for platform inertial navigation system based on RHKF'. Together they form a unique fingerprint.

Cite this