A Regression-Based Methodology to Improve Estimation of Inertial Sensor Errors Using Allan Variance Data

Document Type


Publication Date

Spring 2019


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


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.



Source Publication

Navigation, Journal of the Institute of Navigation