A Regression-Based Methodology to Improve Estimation of Inertial Sensor Errors Using Allan Variance Data
Document Type
Article
Publication Date
Spring 2019
Abstract
Excerpt: Using nonlinear regression with a ridge‐regression initial guess, the proposed method is shown to produce comparable results to the gold standard slope method when using standard‐length data collections and outperforms the slope method when the amount of available data is limited. This development directly enables accurate navigation solutions for all vehicles in land, air, sea, and space operations.
Abstract excerpt © Wiley
DOI
10.1002/navi.278
Source Publication
Navigation, Journal of the Institute of Navigation
Recommended Citation
Jurado, J., Schubert Kabban, C. M., & Raquet, J. (2019). A regression‐based methodology to improve estimation of inertial sensor errors using Allan variance data. Navigation, 66(1), 251–263. https://doi.org/10.1002/navi.278
COinS
Comments
The "Link to Full Text" button on this page loads the CHORUS-furnished author manuscript version of the article, hosted at Wiley, on behalf of the Institute of Navigation. The publisher retains permissions to re-use and distribute this article. The published version of record appears in volume 66 of Navigation, as cited below.