Inertial Navigation Employing a Common-Frame Error Model

This paper examines an extension of previous common-frame theory in the state-error definition for inertial navigation systems (INS). In previous work, only body-frame errors were considered in relation to quantities such as biases from strapdown gyros. Reference-frame errors found in quantities such as the translational velocity have not been considered previously. The work here derives the full INS equations where an alternative vector state-error is defined using common coordinates over all vector-error realizations, thereby providing a true-to-life representation of the actual errors. The INS is analyzed through a stationary linear analysis to show that the fundamental frequencies are unchanged; however, there are now more coupling terms within the state matrix. The performance of the INS filter is then analyzed using a simulation.

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Publication Details

Journal
Journal of Guidance Control and Dynamics
Published
2024-08-05
DOI
https://doi.org/10.2514/1.g008282
Citations
4
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
5.20
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article

Inertial Navigation Employing a Common-Frame Error Model

Matthew P. Whittaker, John L. Crassidis
4 citations
Journal of Guidance Control and Dynamics
Inertial Sensor and Navigation
5.20
article

Inertial Navigation Employing a Common-Frame Error Model

Matthew P. Whittaker, John L. Crassidis
article en
4 citations

Abstract

This paper examines an extension of previous common-frame theory in the state-error definition for inertial navigation systems (INS). In previous work, only body-frame errors were considered in relation to quantities such as biases from strapdown gyros. Reference-frame errors found in quantities such as the translational velocity have not been considered previously. The work here derives the full INS equations where an alternative vector state-error is defined using common coordinates over all vector-error realizations, thereby providing a true-to-life representation of the actual errors. The INS is analyzed through a stationary linear analysis to show that the fundamental frequencies are unchanged; however, there are now more coupling terms within the state matrix. The performance of the INS filter is then analyzed using a simulation.

Journal of Guidance Control and DynamicsVol. 48(1)
University at Buffalo, State University of New York (US)
Openalex Percentile: Top 5%
Inertial Sensor and Navigation
5.20
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