A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series
Lin Zhao, Jiushun Li, Jianhua Cheng, Chun Jia, Qiufan Wang
TL;DR
This paper introduces a new method to improve the accuracy of inertial navigation systems by reducing periodic oscillation errors using forecasted time series.
Contribution
The novel method uses forecasted time series and curve-fitting to restrict oscillation errors in SINS.
Findings
The method effectively reduces Schuler, Foucault, and Earth oscillation errors in SINS.
Simulation and test results confirm the method's good performance in error restriction.
Abstract
Continuity, real-time, and accuracy are the key technical indexes of evaluating comprehensive performance of a strapdown inertial navigation system (SINS). However, Schuler, Foucault, and Earth periodic oscillation errors significantly cut down the real-time accuracy of SINS. A method for oscillation error restriction of SINS based on forecasted time series is proposed by analyzing the characteristics of periodic oscillation errors. The innovative method gains multiple sets of navigation solutions with different phase delays in virtue of the forecasted time series acquired through the measurement data of the inertial measurement unit (IMU). With the help of curve-fitting based on least square method, the forecasted time series is obtained while distinguishing and removing small angular motion interference in the process of initial alignment. Finally, the periodic oscillation errors are…
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Taxonomy
TopicsHistorical Studies of Medieval Iberia · Religious and Theological Studies · Historical Economic and Legal Thought