Application of RPF in MEMS gyro random drift filtering

2nd International Conference on Materials Science, Energy Technology and Environmental Engineering

材料科学;能源学;生态环境科学

Guowei, G.A.O.^1 ; Yan, X.I.E.^2

Beijing Information Science and Technology University, Beijing

100101, China^1

Nanjing Gksens Co., LTD, Nanjing

210036, China^2

关键词: Corresponding state;    Data pre treatments;    Estimation and compensation;    Filtering process;    ITS applications;    Micro-mechanical;    Particle filter algorithms;    Random drift;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/81/1/012209/pdf
DOI  :  10.1088/1755-1315/81/1/012209

来源: IOP

【 摘 要 】

With the development of micro-mechanical inertial technology, how to suppress the MEMS gyro's random drift increasingly become a hot topic. In order to filter a certain type of MEMS gyro's random drift, this paper introduces the regularized particle filter algorithm. The derivation of the algorithm and its application in MEMS gyro's filtering process are described in detail in this paper: First, acquiring MEMS gyro's static drift data and conducting data pre-treatment; then establishing the AR model by using time series analysis method, and transforming it into the corresponding state space model; finally, executing the estimation and compensation for MEMS gyro's random drift with regular particle filter algorithm, and comparing it with other common methods in engineering. Tests and simulation results show that the regularized particle filter algorithm could achieve a good effect on the suppression of MEMS gyro's random drift, it has a higher practical application value.