Research and design of MEMS SINS/GPS integrated navigation system based on adaptive filter

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Abstract

A MIMU/GPS integrated navigation system principle prototype is designed, and the structure of the system is introduced by different module. To handle the influence of Kalman filter parameters on system filtering performance (Including the system noise variance matrix Q and measurement noise covariance matrix R), adaptive estimation Kalman filter is designed. The test results show that satisfactory performance can be obtained using adaptive estimation techniques for the low-cost MIMU/GPS integrated navigation.

Original languageEnglish
Title of host publicationEnergy Research and Power Engineering
Pages1048-1052
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Energy Research and Power Engineering, ERPE 2013 - Zhengzhou, Henan, China
Duration: 24 May 201325 May 2013

Publication series

NameApplied Mechanics and Materials
Volume341-342
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2013 International Conference on Energy Research and Power Engineering, ERPE 2013
Country/TerritoryChina
CityZhengzhou, Henan
Period24/05/1325/05/13

Keywords

  • Adaptive filter
  • GPS
  • Integrated navigation
  • MEMS

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