Empirical Analysis of the MIMU Random-Drift Error Based on Wavelet Soft-threshold and ARIMA Model

Author:

Yang Yingdong1,Wu Yushang1,Zhou Yang1,Zhang Keke1,Yang Xianglong1,Yao Guipeng1

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences),,Institute of Oceanographic Instrmentation,,Shandong,,China

Funder

Natural Science Foundation of Shandong Province

Shandong Academy of Sciences

Publisher

IEEE

Reference13 articles.

1. An improved algorithm for random error compensation of MEMS gyroscopes based on ARMA model[J];miao;Sensor World,2014

2. Comparison of Akaike information criterion (AIC) and Bayesian information criterion (BIC) in selection of stock–recruitment relationships[J];yun;Fisheries Research,2006

3. Universality Verification of Random Error Compensation Method for MEMS Gyroscope with Kalman Filter[J];wei;Journal of Geodesy and Geodynamics,2019

4. Research on Modeling and Compensation Application of MEMS Gyro Stochastic Error[J];yu;Ship Electronic Engineering,2019

5. Research on Time-series Modeling and Filtering Methods for MEMS Gyroscope Random Drift Error[J];youwei;IOP Conference Series: Materials Science and Engineering,2017

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