Skip to main navigation Skip to search Skip to main content

Application of correlation detection in rotation-modulation north-seeking based on MEMS gyroscope

  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

MEMS gyroscope has been recently the hotspot in inertial measurements applications, because of its advantage of low costs, micro size, and low power consumption, etc. But it is considered that MEMS gyroscope cannot be used in north-seeking because of its drift and noise. This paper has proposed a feasible rotation-modulation north-seeking method, in which correlation analysis is used to detect the modulated wave phase to give the relative direction to true north. Self-correlation detection, cross-correlation detection and Least Squares are presented in detail consisting of the systemic correlation detection approach. With the help of correlation detection, experimental results show that the rotation-modulation north-seeking method proposed in this paper gives impressive precision of north-seeking.

Original languageEnglish
Title of host publication2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages441-445
Number of pages5
ISBN (Electronic)9781479946990
DOIs
Publication statusPublished - 12 Jan 2015
Event6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 - Yantai, China
Duration: 8 Aug 2014 → 10 Aug 2014

Publication series

Name2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014

Conference

Conference6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
Country/TerritoryChina
CityYantai
Period8/08/14 → 10/08/14

Keywords

  • Correlation Detection
  • Least-square Method
  • MEMS Gyroscope
  • Rotation-Modulation North-seeking

Fingerprint

Dive into the research topics of 'Application of correlation detection in rotation-modulation north-seeking based on MEMS gyroscope'. Together they form a unique fingerprint.

Cite this