TY  - JOUR
ID  - SisLab1735
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1735/
A1  - Tran, Duc Tan
A1  - Luu, Manh Ha
A1  - Nguyen, Thang Long
A1  - Nguyen, Phu Thuy
A1  - Huynh, Huu Tue
Y1  - 2007///
N2  - The demand of navigation and guidance have been urgent for many years. In fact, INS is daily used in controlling flight dynamics. Nowadays, with the strong growth ò MEMS technology, the INS are applied widely. However, there are existing errors in the accelerometer and gyroscope signals that cause unacceptable drifts. There are two kinds of noise in the INS: deterministic and stochastic errors. The deterministic noises are usually eliminated by the carefully calibration process but the stochastic noises are always difficult to treat. In this paper, we have determined successfully the characteristics of the MEMS sensor' noise by analyzing the Allan variance of the experiment data. After characterizing the IMU errors, the information of these noise is brought to the Wavelet Multi-Resolution Analysis (WMRA) block in order to improve the sensors' SNR, remove sensor errors that are mixed with motion dynamics, and provide more reliable data that is applied directly to the noise eliminating block (NEB)
PB  - PTIT
JF  - Posts, Telematics & Information Technology Journal
VL  - 2
SN  - 0866-7039
TI  - Performance Improvement of MEMS-Based Sensor Applying in Inertial Navigation Systems
SP  - 19
AV  - public
EP  - 24
ER  -