Aerospace industry Air navigation Aircraft Control theory Error analysis Errors Inertial navigation systems; MEMS Microelectromechanical devices Navigation systems Pulse shaping circuits Semiconductor switches Aircraft movements Allan variances Classical methods Inertial Measurement units
Issue Date:
2007
Publisher:
2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
Citation:
Page : 1047-1050
Abstract:
Navigation and guidance are very important problems for marine, aeronautics and space
technology. In such systems, Inertial Measurement Units (IMUs) are widely used as the core of the Inertial
Navigation Systems (INS). Due to the strong growth of MEMS technology, the INS is widely applied to
navigation and guidance of aircraft movements. However, there are existing errors in the accelerometer and
gyroscope signals that cause unacceptable drifts. In this paper, we have determined noise parameters of both
deterministic and stochastic errors of MEMS based the IMUs. For the deterministic errors, the calibration
process is not quite difficult. For the stochastic errors, we have tried two different methods PSD and Allan
variance. The PSD is known as a classical method to analyze signal, while Allan variance is a new method
which can show more information than the PSD. Combining these two methods will give us a reliable noise
model that is applied directly to the Kalman Filtering Block (KFB). In the case the random noise drifts that
can not be compensated for are to be taken into account while performing an error analysis, this paper also
presents a in motion alignment evaluation. ??2007 IEEE.
