Title

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

Document Type

Article

Publication Date

Spring 2019

Abstract

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

Comments

The 'Link to Full Text' button on this record points to the freely-accessible article, hosted at the publisher website. The article is marked open access to read ("Green Open Access"). The publisher retains permissions to re-use and distribute this article.

DOI

10.1002/navi.278

Source Publication

Navigation, Journal of the Institute of Navigation

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