Abstract | ||
---|---|---|
•A novel EITF algorithm is proposed to de-noise the MEMS IMU.•A novel interval thresholding scheme is designed to improve the filtering performance.•A LSSVM-NARX/KF hybrid strategy is proposed to compensate the INS position errors. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.inffus.2018.04.006 | Information Fusion |
Keywords | Field | DocType |
Vehicle positioning,Empirical mode decomposition,NARX,INS/GPS,MEMS | Nonlinear autoregressive exogenous model,Compass,Pattern recognition,Support vector machine,Data pre-processing,Sensor fusion,Real-time computing,Kalman filter,Inertial measurement unit,Global Positioning System,Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
46 | 1566-2535 | 2 |
PageRank | References | Authors |
0.34 | 23 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xu Li | 1 | 17 | 5.42 |
Wei Chen | 2 | 106 | 10.87 |
Ching-Yao Chan | 3 | 79 | 23.48 |
Bin Li | 4 | 68 | 15.59 |
Xianghui Song | 5 | 3 | 1.70 |