Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications

作者: A. Noureldin , T.B. Karamat , M.D. Eberts , A. El-Shafie

DOI: 10.1109/TVT.2008.926076

关键词: Real-time computingInertial measurement unitSensor fusionElectronic engineeringAssisted GPSGlobal Positioning SystemInertial navigation systemSatellite navigationGPS/INSNavigation systemEngineering

摘要: The relatively high cost of inertial navigation systems (INSs) has been preventing their integration with global positioning systems (GPSs) for land-vehicle applications. Inertial sensors based on microelectromechanical system (MEMS) technology have recently become commercially available at lower costs. These relatively lower cost inertial sensors have the potential to allow the development of an affordable GPS-aided INS (INS/GPS) vehicular navigation system. While MEMS-based INS is inherently immune to signal …

参考文章(49)
Arthur Gelb, Applied Optimal Estimation ,(1974)
Matthew Barth, Jay Farrell, The global positioning system and inertial navigation McGraw-Hill. ,(1999)
J. P. Burg, Maximum entropy spectral analysis Proc. the 37th Meeting of the Society of Exploration Geophysicists. ,(1967)
Ivan W. Selesnick, Jan E. Odegard, C. S. Burrus, Haitao Guo, Ramesh A. Gopinath, Introduction to Wavelets and Wavelet Transforms: A Primer ,(1997)
K. M. Kohlstrand, Mind the Gap: Using Wireless Sensors to Measure Gaps Efficiently Sensors. ,vol. 20, pp. 14- 20 ,(2003)
Kai-Wei Chiang, INS/GPS integration using neural networks for land vehicular navigation applications Proceedings of the 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2002). pp. 535- 544 ,(2004) , 10.11575/PRISM/23670
Angus P. Andrews, Mohinder S. Grewal, Kalman Filtering: Theory and Practice Using MATLAB ,(2001)
Yaakov Bar-Shalom, X.-Rong Li, Thiagalingam Kirubarajan, Estimation with Applications to Tracking and Navigation ,(2001)