Using Allan variance to improve stochastic modeling for accurate GNSS/INS integrated navigation
Using Allan variance to improve stochastic modeling for accurate GNSS/INS integrated navigation
About this item
Full title
Author / Creator
Wang, Dingjie , Dong, Yi , Li, Qingsong , Li, Zhaoyang and Wu, Jie
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
MEMS-based integrated system of a global navigation satellite system (GNSS) and an inertial navigation system (INS) has been widely used in various navigation applications. However, such integration encounters some major limitations. On the one hand, the noisy MEMS-based INS undermines the accuracy with time during the frequently occurring GNSS out...
Alternative Titles
Full title
Using Allan variance to improve stochastic modeling for accurate GNSS/INS integrated navigation
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2259289243
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2259289243
Other Identifiers
ISSN
1080-5370
E-ISSN
1521-1886
DOI
10.1007/s10291-018-0718-x
