A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series

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 restricted on account of the principle of eliminating the periodic oscillation signal with a half-wave delay by mean value. Simulation and test results show that the method has good performance in restricting the Schuler, Foucault, and Earth oscillation errors of SINS.

Tracking the vector acceleration with a hybrid quantum accelerometer triad

“…The results presented here demonstrate the full potential of matter-wave inertial sensors for future quantum-aided navigation, either by using the QuAT output to directly determine a vehicle’s position or by providing strapdown operation for gravity mapping ( 14 , 21 ) or gravity matching–aided navigation ( 49 , 50 ). They can also be used to reduce the bias drift on the local acceleration readings and thus relieve the constraint on Schuler, Foucault, or other Earth-periodic oscillation errors ( 51 ). Our work is an essential step toward these onboard applications, yet further development is necessary before the instrument can be field qualified.…”