On Performance Evaluation of Inertial Navigation Systems: The Case of Stochastic Calibration

Cucci, Davide Antonio; Voirol, Lionel; Khaghani, Mehran; Guerrier, Stéphane

doi:10.1109/tim.2023.3267360

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article3

Other2

Relationship

Self Cite1

Independent4

Authors

Journals

Cited by 5 publications

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Stochastic-Resonance-Networks-Enhanced Wireless Channel Parameter Estimation Approach

He,

Wang,

2024

IEEE Internet Things J.

View full text Add to dashboard Cite

Stochastic-Resonance-Networks-Enhanced Wireless Channel Parameter Estimation Approach

He,

Wang,

2024

IEEE Internet Things J.

View full text Add to dashboard Cite

A Belief Rule-Based Performance Evaluation Model for Complex Systems Considering Sensors Disturbance

Lian,

Zhou,

et al. 2024

IEEE Trans. Rel.

View full text Add to dashboard Cite

Accounting for Vibration Noise in Stochastic Measurement Errors of Inertial Sensors

Karemera,

Voirol,

Cucci

et al. 2024

IEEE Trans. Signal Process.

Self Cite

View full text Add to dashboard Cite

The measurement of data over time and/or space is of utmost importance in a wide range of domains from engineering to physics. Devices that perform these measurements, such as inertial sensors, need to be extremely precise to obtain correct system diagnostics and accurate predictions, consequently requiring a rigorous calibration procedure before being employed. Most of the research over the past years has focused on delivering methods that can explain and estimate the complex stochastic components of these errors. In this context, the Generalized Method of Wavelet Moments emerges as a computationally efficient estimator with appropriate statistical properties and with different advantages over existing methods such as those based on likelihood estimation and the Allan variance. However it has this far not accounted for a significant stochastic noise that arises for many of these devices: vibration noise. This component can originate from different sources, including the internal mechanics of the sensors as well as the movement of these devices when placed on moving objects. To remove this disturbance from signals, this work puts forward a modelling framework for this specific type of noise and adapts the Generalized Method of Wavelet Moments to estimate these models. We deliver the asymptotic properties of this method when applied to processes that include vibration noise and show the considerable practical advantages of this approach in simulation and applied case studies.

show abstract

On Performance Evaluation of Inertial Navigation Systems: The Case of Stochastic Calibration

Cited by 5 publications

References 28 publications

Stochastic-Resonance-Networks-Enhanced Wireless Channel Parameter Estimation Approach

Stochastic-Resonance-Networks-Enhanced Wireless Channel Parameter Estimation Approach

A Belief Rule-Based Performance Evaluation Model for Complex Systems Considering Sensors Disturbance

Accounting for Vibration Noise in Stochastic Measurement Errors of Inertial Sensors

Contact Info

Product

Resources

About